PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
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For medium-resolution and low-resolution satellite image data, there is a lack of benchmark datasets, while several high-resolution benchmark datasets exist (PatternNet, UCMD, aerial image dataset).
“For medium-resolution and low-resolution satellite image data, in particular, there is a lack of benchmark datasets, while several highresolution benchmark datasets exist (PatternNet, UCMD, aerial image dataset) (Zhou et al., 2018).”
From Deep learning in remote sensing applications: A meta-analysis and review (2019) · cites this paper as Zhou et al., 2018
Section 3.1 (pp. 13–14) identifies UCMD as a benchmark and describes AID; Section 3.2 (p. 17) identifies PatternNet as a high-resolution dataset. The paper does not say that benchmark datasets are lacking specifically for medium- and low-resolution satellite imagery. It also notes that AID includes images at varying resolutions (Section 3.1, pp. 14, 16). (LLM, conf=0.87)
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Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155 · see citing works
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126 · see citing works
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 74,248 · see citing works
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333 · see citing works
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589 · see citing works
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562 · see citing works
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584 · see citing works
Reducing the dimensionality of data with neural networks
Hinton, G. E., & Salakhutdinov, R. R. (2006) · Science · doi:10.1126/science.1127647 · Cited by 20,928 · see citing works
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398 · see citing works
Caffe: Convolutional Architecture for Fast Feature Embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077 · see citing works
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916 · see citing works
A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723 · see citing works
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367 · see citing works
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
Oliva, A., & Torralba, A. B. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011139631724 · Cited by 6,321 · see citing works
Content-based image retrieval at the end of the early years
Smeulders, A. W. M., Worring, M., Santini, S., Gupta, A., & Jain, R. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895972 · Cited by 6,050 · see citing works
Swain, M. J., & Ballard, D. H. (1991) · International Journal of Computer Vision · doi:10.1007/bf00130487 · Cited by 5,625 · see citing works
Caffe: Convolutional Architecture for Fast Feature EmbeddingPreprint
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1408.5093 · Cited by 4,749 · see citing works
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014 · doi:10.5244/c.28.6 · Cited by 3,335 · see citing works
Bag-of-visual-words and spatial extensions for land-use classification
Yang, Y., & Newsam, S. D. (2010) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/1869790.1869829 · Cited by 3,077 · see citing works
Self-citationObject retrieval with large vocabularies and fast spatial matching
Philbin, J. F., Chum, O., Isard, M., Šivic, J., & Zisserman, A. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383172 · Cited by 2,931 · see citing works
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Cheng, G., Han, J., & Lu, X. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2675998 · Cited by 2,926 · see citing works
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W. F., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvprw.2009.5206848 · Cited by 2,714 · see citing works
Improving the Fisher Kernel for Large-Scale Image Classification
Perronnin, F., Sánchez, J., & Mensink, T. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15561-1_11 · Cited by 2,588 · see citing works
AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
Xia, G.-S., Hu, J., Hu, F., Shi, B., Bai, X., Zhong, Y., Zhang, L., & Lu, X. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2685945 · Cited by 2,423 · see citing works
Zhang, J., Marszałek, M., Lazebnik, S., & Schmid, C. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-9794-4 · Cited by 1,929 · see citing works
Liu, C., & Wechsler, H. (2002) · IEEE Transactions on Image Processing · doi:10.1109/tip.2002.999679 · Cited by 1,889 · see citing works
Cheng, G., Zhou, P., & Han, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2601622 · Cited by 1,771 · see citing works
A survey of content-based image retrieval with high-level semantics
Liu, Y., Zhang, D., Lu, G., & Ma, W.-Y. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.04.045 · Cited by 1,696 · see citing works
Content-based multimedia information retrieval: State of the art and challenges
Lew, M. S., Sebe, N., Djeraba, C., & Jain, R. (2006) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1126004.1126005 · Cited by 1,528 · see citing works
Representing shape with a spatial pyramid kernel
Bosch, A., Zisserman, A., & Muñoz, X. (2007) · ACM International Conference on Image and Video Retrieval (CIVR) · doi:10.1145/1282280.1282340 · Cited by 1,407 · see citing works
Image Classification using Random Forests and Ferns
Bosch, A., Zisserman, A., & Muñoz, X. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409066 · Cited by 1,254 · see citing works
Neural Codes for Image Retrieval
Babenko, A., Slesarev, A., Chigorin, A., & Lempitsky, V. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10590-1_38 · Cited by 1,225 · see citing works
Matching Local Self-Similarities across Images and Videos
Shechtman, E., & Irani, M. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383198 · Cited by 1,093 · see citing works
Learning mid-level features for recognition
Boureau, Y.-L., Bach, F., LeCun, Y., & Ponce, J. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539963 · Cited by 1,063 · see citing works
Deep learning based feature selection for remote sensing scene classification
Zou, Q., Ni, L., Zhang, T., & Wang, Q. (2015) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2015.2475299 · Cited by 956 · see citing works
Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks
Long, Y., Gong, Y., Xiao, Z., & Liu, Q. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2645610 · Cited by 899 · see citing works
Deep Learning for Content-Based Image Retrieval
Wan, J., Wang, D., Hoi, S. C. H., Wu, P., Zhu, J., Zhang, Y., & Li, J. (2014) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2647868.2654948 · Cited by 814 · see citing works
Deep Image Retrieval: Learning Global Representations for Image Search
Gordo, A., Almazán, J., Revaud, J., & Larlus, D. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46466-4_15 · Cited by 787 · see citing works
Particular object retrieval with integral max-pooling of CNN activations
Tolias, G., Sicre, R., & Jégou, H. (2015) · arXiv · doi:10.48550/arxiv.1511.05879 · Cited by 744 · see citing works
Improving Bag-of-Features for Large Scale Image Search
Jeǵou, H., Douze, M., & Schmid, C. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0285-2 · Cited by 736 · see citing works
van Gemert, J. C., Veenman, C. J., Smeulders, A. W. M., & Geusebroek, J. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.132 · Cited by 736 · see citing works
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Penatti, O. A. B., Nogueira, K., & dos Santos, J. A. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301382 · Cited by 730 · see citing works
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
Romero, A., Gatta, C., & Camps‐Valls, G. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2478379 · Cited by 729 · see citing works
Aggregating Local Deep Features for Image Retrieval
Yandex, A. B., & Lempitsky, V. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.150 · Cited by 679 · see citing works
Return of the Devil in the Details: Delving Deep into Convolutional NetsPreprint
Chatfield, K., Simonyan, K., Vedaldi, A., et al. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.3531 · Cited by 663 · see citing works
Towards optimal bag-of-features for object categorization and semantic video retrieval
Jiang, Y., Ngo, C., & Yang, J. J. (2007) · ACM International Conference on Image and Video Retrieval (CIVR) · doi:10.1145/1282280.1282352 · Cited by 636 · see citing works
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
Chen, X., Xiang, S., Liu, C., & Pan, C. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2309695 · Cited by 619 · see citing works
Deep learning of binary hash codes for fast image retrieval
Lin, K., Yang, H., Hsiao, J.-H., & Chen, C. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301269 · Cited by 617 · see citing works
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Wei, X.-S., Luo, J.-H., Wu, J., & Zhou, Z. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2688133 · Cited by 462 · see citing works
Video google: A text retrieval approach to object matching in videos
Sivic, J., & Zisserman, A. (2003) · Cited by 438 · see citing works
Datta, R., Li, J., & Wang, J. Z. (2005) · doi:10.1145/1101826.1101866 · Cited by 435 · see citing works
Unsupervised Feature Learning for Aerial Scene Classification
Cheriyadat, A. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2241444 · Cited by 418 · see citing works
Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors
Eitz, M., Hildebrand, K., Boubekeur, T., & Alexa, M. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.266 · Cited by 411 · see citing works
Alshehhi, R., Marpu, P., Woon, W. L., & Mura, M. D. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.05.002 · Cited by 408 · see citing works
Proceedings of the 23rd ACM international conference on Multimedia
(2015) · doi:10.1145/2733373 · Cited by 367 · see citing works
Exploiting local features from deep networks for image retrieval
Ng, J. Y.-H., Yang, F., & Davis, L. S. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301272 · Cited by 359 · see citing works
Geographic Image Retrieval Using Local Invariant Features
Yang, Y. H., & Newsam, S. D. (2012) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2012.2205158 · Cited by 349 · see citing works
Self-citationUrban-Area and Building Detection Using SIFT Keypoints and Graph Theory
Sırmaçek, B., & Ünsalan, C. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2008440 · Cited by 343 · see citing works
Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images
Sedaghat, A., Mokhtarzade, M., & Ebadi, H. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2144607 · Cited by 334 · see citing works
Sheng, G., Yang, W. T., Xu, T., & Sun, H. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.608740 · Cited by 309 · see citing works
Spatial pyramid co-occurrence for image classification
Yang, Y., & Newsam, S. D. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126403 · Cited by 304 · see citing works
Self-citationFully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial ImageryPreprint
Sherrah, J. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.02585 · Cited by 284 · see citing works
[Paper] Visual Instance Retrieval with Deep Convolutional Networks
Razavian, A. S., Sullivan, J., Carlsson, S., & Maki, A. (2016) · ITE Transactions on Media Technology and Applications · doi:10.3169/mta.4.251 · Cited by 276 · see citing works
Hyperspectral Image Superresolution by Transfer Learning
Yuan, Y., Zheng, X., & Lu, X. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2655112 · Cited by 266 · see citing works
Lin, M., Chen, Q., & Yan, S. (2013) · arXiv · doi:10.48550/arxiv.1312.4400 · Cited by 252 · see citing works
Cao, Y., Wang, C., Li, Z., Zhang, L., & Zhang, L. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540021 · Cited by 215 · see citing works
Automatic Image Registration Through Image Segmentation and SIFT
Gonçalves, H. M. D. S. L. M., Côrte-Real, L., & Gonçalves, J. A. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2109389 · Cited by 214 · see citing works
Han, W., Feng, R., Wang, L., & Cheng, Y. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.11.004 · Cited by 214 · see citing works
Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature
Shi, Z., Yu, X., Jiang, Z., & Li, B. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2282355 · Cited by 213 · see citing works
Zhou, W., Newsam, S. D., Li, C., & Shao, Z. (2017) · Remote Sensing · doi:10.3390/rs9050489 · Cited by 202 · see citing works
Self-citationRemote Sensing Image Retrieval With Global Morphological Texture Descriptors
Aptoula, E. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2268736 · Cited by 181 · see citing works
A Probabilistic Framework to Detect Buildings in Aerial and Satellite Images
Sırmaçek, B., & Ünsalan, C. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2053713 · Cited by 176 · see citing works
Zhao, L., Tang, P. T. P., & Huo, L. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2339842 · Cited by 174 · see citing works
Combining Local and Global Image Features for Object Class Recognition
Lisin, D. A., Mattar, M., Blaschko, M. B., Miller, E. G., & Benfield, M. C. (2006) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvpr.2005.433 · Cited by 172 · see citing works
Local Convolutional Features with Unsupervised Training for Image Retrieval
Paulin, M., Douze, M., Harchaoui, Z., Mairal, J., Perronnin, F., & Schmid, C. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.19 · Cited by 168 · see citing works
Object Detection and Localization Using Local and Global Features
Murphy, K. P., Torralba, A. B., Eaton, D., & Freeman, W. T. (2006) · Lecture notes in computer science · doi:10.1007/11957959_20 · Cited by 154 · see citing works
Zhang, J., Marszałek, M., Lazebnik, S., & Schmid, C. (2006) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2006.121 · Cited by 138 · see citing works
Demir, B., & Bruzzone, L. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2358804 · Cited by 137 · see citing works
Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification
Li, Y., Tao, C., Tan, Y., Shang, K., & Tian, J. (2016) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2015.2503142 · Cited by 137 · see citing works
Bag-of-colors for improved image search
Wengert, C., Douze, M., & Jeǵou, H. (2011) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2072298.2072034 · Cited by 136 · see citing works
Fingerprint recognition by combining global structure and local cues
Gu, J., Zhou, J., & Yang, C. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.873443 · Cited by 122 · see citing works
Contextually guided very-high-resolution imagery classification with semantic segments
Zhao, W., Du, S., Wang, Q., & Emery, W. J. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.08.011 · Cited by 119 · see citing works
Visual descriptors for content-based retrieval of remote-sensing images
Napoletano, P. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1399472 · Cited by 118 · see citing works
Deep learning for content-based image retrieval: A comprehensive study
Wan, J., Wang, D., Hoi, S. C. H., Wu, P., Zhu, J., Zhang, Y., & Li, J. (2014) · Cited by 117 · see citing works
Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model
Zhang, W., Sun, X., Fu, K., Wang, C., & Wang, H. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2246538 · Cited by 116 · see citing works
Ma, X., Wang, H., & Wang, J. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2016.09.001 · Cited by 113 · see citing works
Scott, G. J., Klaric, M. N., Davis, C. H., & Shyu, C. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2088404 · Cited by 104 · see citing works
Combining global and local features for food identification in dietary assessment
Bosch, M., Zhu, F. M., Khanna, N., Boushey, C. J., & Delp, E. J. (2011) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2011.6115809 · Cited by 98 · see citing works
Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching
Sedaghat, A., & Ebadi, H. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.06.003 · Cited by 97 · see citing works
Urban Area Detection Using Local Feature Points and Spatial Voting
Sırmaçek, B., & Ünsalan, C. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2009.2028744 · Cited by 93 · see citing works
A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval
Wang, Y., Zhang, L., Tong, X., Zhang, L., Zhang, Z., Liu, H., Xing, X., & Mathiopoulos, P. T. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2579648 · Cited by 88 · see citing works
High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder
Zhou, W., Shao, Z., Diao, C., & Cheng, Q. (2015) · Remote Sensing Letters · doi:10.1080/2150704x.2015.1074756 · Cited by 85 · see citing works
Self-citationA practical guide to CNNs and Fisher Vectors for image instance retrieval
Chandrasekhar, V., Lin, J., Morère, O., Goh, H., & Veillard, A. (2016) · Signal Processing · doi:10.1016/j.sigpro.2016.05.021 · Cited by 82 · see citing works
Visual Instance Retrieval with Deep Convolutional NetworksPreprint
Razavian, A. S., Sullivan, J., Carlsson, S., & Maki, A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1412.6574 · Cited by 81 · see citing works
Visual word spatial arrangement for image retrieval and classification
Penatti, O. A. B., Silva, F. B., Junior, E. A. D. V., Gouet-Brunet, V., & Torres, R. D. S. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2013.08.012 · Cited by 78 · see citing works
Evaluation of second-order visual features for land-use classification
Negrel, R., Picard, D., & Gosselin, P.-H. (2014) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2014.6849835 · Cited by 78 · see citing works
A Novel Interest-Point-Matching Algorithm for High-Resolution Satellite Images
Xiong, Z., & Zhang, Y. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2023794 · Cited by 76 · see citing works
Li, Y., Zhang, Y., Tao, C., & Zhu, H. (2016) · Remote Sensing · doi:10.3390/rs8090709 · Cited by 76 · see citing works
A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification
Zhao, L., Tang, P. T. P., & Huo, L. (2014) · International Journal of Remote Sensing · doi:10.1080/01431161.2014.890762 · Cited by 73 · see citing works
Combining global, regional and contextual features for automatic image annotation
Wang, Y., Mei, T., Gong, S., & Hua, X. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.05.010 · Cited by 66 · see citing works
Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach
Chaudhuri, B., Demir, B., Bruzzone, L., & Chaudhuri, S. (2016) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2016.2558289 · Cited by 65 · see citing works
Hyperspectral texture recognition using a multiscale opponent representation
Shi, M., & Healey, G. E. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.811076 · Cited by 63 · see citing works
Özkan, S., Ates, T., Tola, E., Soysal, M., & Esen, E. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2316143 · Cited by 61 · see citing works
Efficient retrieval of deformable shape classes using local self-similarities
Chatfield, K., Philbin, J. F., & Zisserman, A. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457691 · Cited by 58 · see citing works
Cast Shadow Removal Combining Local and Global Features
Liu, Z., Huang, K., Tan, T., & Wang, L. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383510 · Cited by 56 · see citing works
Improved color texture descriptors for remote sensing image retrieval
Shao, Z., Zhou, W., Zhang, L., & Hou, J. (2014) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.8.083584 · Cited by 55 · see citing works
Self-citationRetrieval of remotely sensed imagery using spectral information content
Bretschneider, T. R., Cavet, R., & Kao, O. (2003) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2002.1026510 · Cited by 55 · see citing works
Unsupervised Feature Learning for Land-Use Scene Recognition
Fan, J., Chen, T., & Lu, S. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2640186 · Cited by 55 · see citing works
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors
Bosilj, P., Aptoula, E., Lefèvre, S., & Ewa Kijak, C. (2016) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi5120228 · Cited by 53 · see citing works
Land use classification using convolutional neural networks applied to ground-level images
Zhu, Y., & Newsam, S. D. (2015) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/2820783.2820851 · Cited by 52 · see citing works
Self-citationInterest Points for Hyperspectral Image Data
Mukherjee, A., Vélez-Reyes, M., & Roysam, B. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2011280 · Cited by 51 · see citing works
An environment for content-based image retrieval from large spatial databases
Agouris, P., Carswell, J. D., & Stefanidis, A. (1999) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/s0924-2716(99)00025-8 · Cited by 46 · see citing works
Zhang, W., Sun, X., Wang, H., & Fu, K. (2014) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.10.007 · Cited by 45 · see citing works
An improved Bag-of-Words framework for remote sensing image retrieval in large-scale image databases
Yang, J., Liu, J., & Dai, Q. (2014) · International Journal of Digital Earth · doi:10.1080/17538947.2014.882420 · Cited by 45 · see citing works
Evaluation of local features for scene classification using VHR satellite images
Chen, L., Yang, W. T., Xu, K., & Xu, T. (2011) · Joint Urban Remote Sensing Event (JURSE) · doi:10.1109/jurse.2011.5764800 · Cited by 44 · see citing works
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
Chen, X., Hu, X. T., & Shen, X. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01307-2_90 · Cited by 37 · see citing works
Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature
Cheng, G., Zhou, P., Yao, X., Yao, C., Zhang, Y., & Han, J. (2016) · International Workshop on Earth Observation and Remote Sensing Applications · doi:10.1109/eorsa.2016.7552845 · Cited by 35 · see citing works
Combining Local and Global Shape Models for Deformable Object Matching
Tresadern, P. A., Bhaskar, H., Adeshina, S. A., Taylor, C., & Cootes, T. F. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.95 · Cited by 30 · see citing works
Combining local and global motion models for feature point tracking
Buchanan, A. M., & Fitzgibbon, A. W. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383236 · Cited by 26 · see citing works
Bag of Lines (BoL) for Improved Aerial Scene Representation
Sridharan, H., & Cheriyadat, A. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2357392 · Cited by 25 · see citing works
Content Based Image Retrieval Using Bag-Of-Regions
Vieux, R., Benois‐Pineau, J., & Domenger, J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-27355-1_47 · Cited by 21 · see citing works
Bag of morphological words for content-based geographical retrieval
Aptoula, E. (2014) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2014.6849837 · Cited by 19 · see citing works
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Zhang, M., Zhang, L., Mathiopoulos, P. T., Ding, Y., & Wang, H. (2012) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2012.10.001 · Cited by 19 · see citing works
Multiscale texture features for the retrieval of high resolution satellite images
Bouteldja, S., & Kourgli, A. (2015) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip.2015.7314204 · Cited by 18 · see citing works
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Shao, Z., Zhou, W., Cheng, Q., Diao, C., & Zhang, L. (2015) · Sensor Review · doi:10.1108/sr-10-2014-0716 · Cited by 17 · see citing works
Self-citationDual-tree complex wavelet transform applied on color descriptors for remote-sensed images retrieval
Sebai, H., Kourgli, A., & Serir, A. (2015) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.9.095994 · Cited by 17 · see citing works
Remote sensing image matching via Harris detector and sift discriptor
Dai, J., Wei-dong, S., Liang, P., & Zhang, J. (2010) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp.2010.5647782 · Cited by 11 · see citing works
Remote Sensing Image Retrieval with Combined Features Of Salient Region
Shao, Z., Zhou, W. X., & Cheng, Q. (2014) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xl-6-83-2014 · Cited by 10 · see citing works
Self-citationUrban Change Detection based on Local Features and Multiscale Fusion
Huo, C., Zhou, Z., Liu, Q., Cheng, J., Lu, H., & Chen, K. (2008) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2008.4779581 · Cited by 10 · see citing works
Using no‐parameter statistic features for texture image retrieval
Zhu, X., & Shao, Z. (2011) · Sensor Review · doi:10.1108/02602281111110004 · Cited by 9 · see citing works
Self-citationAn efficient rotation-invariance remote image matching algorithm based on feature points matching
Jianbin, X., Wen, H., & Wu, Y. (2005) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2005.1526258 · Cited by 9 · see citing works
Computing Invariants for Structural Change Detection in Urban Areas
Tang, F., & Véronique Prinet, A. (2007) · Joint Urban Remote Sensing Event (JURSE) · doi:10.1109/urs.2007.371772 · Cited by 9 · see citing works
Geographic Image Retrieval Using Interest Point Descriptors
Newsam, S. D., & Yang, Y. (2007) · Springer eBooks · doi:10.1007/978-3-540-76856-2_27 · Cited by 9 · see citing works
Self-citationImproving High Resolution Satellite Images Retrieval Using Color Component Features
Sebai, H., & Kourgli, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23234-8_25 · Cited by 8 · see citing works
Deep learning feature map for content based image retrieval system for remote sensing application
Jain, S., Zaveri, T., Prajapati, K., & Patel, S. (2016) · International Journal of Image Mining · doi:10.1504/ijim.2016.079113 · Cited by 8 · see citing works
Zhang, T., Yan, W., Su, C., & Ji, S. (2015) · International Journal of Remote Sensing · doi:10.1080/01431161.2015.1079662 · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 138 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [43][43] M. Volpi, D. Tuia, Dense semantic labeling of subdecimeter resolution images with convolutional neural networks, IEEE Trans. Geosci. Remote Sens. 55 (2017) 881-893. -
- [78][78] H. Jé gou, M. Douze, C. Schmid, P. Pé rez, Aggregating local descriptors into a compact representation, in: IEEE Conf. Comput. Vis. Pattern Recognit., 2010: pp. 3304-3311. -
- [103][103] Deng, J.; Dong, W.; Socher, R.; Li, L.J.; Li, K.; Fei-Fei, L., ImageNet: A largescale hierarchical image database, in: 2009 IEEE Conf. Comput. Vis. Pattern Recognit., IEEE, 2009: pp. 2-9. -
Cited by
Sorted by citations
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Pi, Y., Nath, N. D., & Behzadan, A. H. (2019) · Advanced Engineering Informatics · doi:10.1016/j.aei.2019.101009 · Cited by 301 · see citing works
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Ge, Y., Jiang, S., Xu, Q., Jiang, C.-L., & Ye, F. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5314-5 · Cited by 62 · see citing works
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Song, W., Gao, Z. Y., Dian, R., Ghamisi, P., Zhang, Y., & Benediktsson, J. A. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3143571 · Cited by 58 · see citing works
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Vincenzi, S., Porrello, A., Buzzega, P., Cipriano, M., Fronte, P., Cuccu, R., Ippoliti, C., Conte, A., & Calderara, S. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9413112 · Cited by 59 · see citing works
Two-stream feature aggregation deep neural network for scene classification of remote sensing images
Xu, K., Huang, H. B., Deng, P., & Shi, G. (2020) · Information Sciences · doi:10.1016/j.ins.2020.06.011 · Cited by 57 · see citing works
Stewart, A. J., Robinson, C., Corley, I., Ortiz, A., Ferres, J. L., & Banerjee, A. (2022) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/3557915.3560953 · Cited by 62 · see citing works
Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey
Yu, A., Quan, Y., Yu, R., Guo, W., Wang, X., Hong, D., Zhang, H., Chen, J., Hu, Q., & He, P. (2023) · Remote Sensing · doi:10.3390/rs15204987 · Cited by 57 · see citing works
Dutta, S., & Das, M. (2023) · Computers & Geosciences · doi:10.1016/j.cageo.2022.105295 · Cited by 54 · see citing works
Benhammou, Y., Alcaraz‐Segura, D., Guirado, E., Khaldi, R., Achchab, B., Herrera, F., & Tabik, S. (2022) · Scientific Data · doi:10.1038/s41597-022-01775-8 · Cited by 58 · see citing works
Wang, S., Hou, D., & Xing, H. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3260873 · Cited by 53 · see citing works
Global urban high-resolution land-use mapping: From benchmarks to multi-megacity applications
Zhong, Y., Yan, B., Yi, J., Yang, R., Xu, M., Su, Y., Zheng, Z., & Zhang, L. (2023) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113758 · Cited by 53 · see citing works
Hypersphere-Based Remote Sensing Cross-Modal Text–Image Retrieval via Curriculum Learning
Zhang, W., Li, J., Li, S., Chen, J., Zhang, W., Gao, X., & Sun, X. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3318227 · Cited by 54 · see citing works
Zhang, M., Cheng, Q., Luo, F., & Ye, L. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3058691 · Cited by 53 · see citing works
Li, W., Hsu, C.-Y., & Hu, M. (2021) · Annals of the American Association of Geographers · doi:10.1080/24694452.2021.1877527 · Cited by 52 · see citing works
Jiang, B., An, X., Xu, S., & Chen, Z. (2022) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-022-01496-w · Cited by 50 · see citing works
Coupling of deep learning and remote sensing: a comprehensive systematic literature review
Yasir, M., Jianhua, W., Liu, S., Sheng, H., Xu, M., & Hossain, M. S. (2023) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2161856 · Cited by 50 · see citing works
Learning to Translate for Cross-Source Remote Sensing Image Retrieval
Xiong, W., Lv, Y., Zhang, X., & Cui, Y. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2968096 · Cited by 50 · see citing works
Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method
Baušys, R., Kazakevičiūtė-Januškevičienė, G., Cavallaro, F., & Usovaitė, A. (2020) · Sustainability · doi:10.3390/su12020548 · Cited by 49 · see citing works
Zhang, C., Liu, T., Xiao, J., Lam, K., & Wang, Q. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3315392 · Cited by 46 · see citing works
Li, Y., Wu, Y., Cheng, G., Tao, C., Dang, B., Wang, Y., Zhang, J., Zhang, C., Liu, Y., Tang, X., et al. (2025) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2025.125324 · Cited by 47 · see citing works
Sentinel-2 Image Scene Classification: A Comparison between Sen2Cor and a Machine Learning Approach
Raiyani, K., Gonçalves, T., Rato, L. M., Salgueiro, P., & da Silva, J. M. (2021) · Remote Sensing · doi:10.3390/rs13020300 · Cited by 48 · see citing works
Kamga, G. A. F., Bitjoka, L., Akram, T., Mbom, A. M., Naqvi, S. R., & Bouroubi, Y. (2021) · International Journal of Remote Sensing · doi:10.1080/01431161.2021.1954261 · Cited by 46 · see citing works
Huang, L., Zhao, W., Liew, A. W., & You, Y. (2023) · Information Fusion · doi:10.1016/j.inffus.2022.12.025 · Cited by 45 · see citing works
The classification of wheat yellow rust disease based on a combination of textural and deep features
Hayıt, T., Erbay, H., Varçın, F., HAYIT, F., & Akci, N. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15199-y · Cited by 45 · see citing works
SAR Image Retrieval Based on Unsupervised Domain Adaptation and Clustering
Ye, F., Luo, W., Dong, M., He, H., & Min, W. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2896948 · Cited by 45 · see citing works
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
Sedona, R., Cavallaro, G., Jitsev, J., Strube, A., Riedel, M., & Benediktsson, J. A. (2019) · Remote Sensing · doi:10.3390/rs11243056 · Cited by 44 · see citing works
Meta-Hashing for Remote Sensing Image Retrieval
Tang, X., Yang, Y., Ma, J., Cheung, Y., Liu, C., Liu, F., Zhang, X., & Jiao, L. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3136159 · Cited by 43 · see citing works
Advancing image super-resolution techniques in remote sensing: A comprehensive survey
Qi, Y., Lou, M., Liu, Y., Li, L., Yang, Z., & Nie, W. (2025) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2025.10.024 · Cited by 42 · see citing works
Distribution Consistency Loss for Large-Scale Remote Sensing Image Retrieval
Fan, L., Zhao, H., & Zhao, H. (2020) · Remote Sensing · doi:10.3390/rs12010175 · Cited by 42 · see citing works
Lasloum, T., Alhichri, H. S., Bazi, Y., & Alajlan, N. (2021) · Remote Sensing · doi:10.3390/rs13193861 · Cited by 42 · see citing works
AerialWaste dataset for landfill discovery in aerial and satellite images
Torres, R. N., & Fraternali, P. (2023) · Scientific Data · doi:10.1038/s41597-023-01976-9 · Cited by 42 · see citing works
Damodaran, B. B., Flamary, R., Seguy, V., & Courty, N. (2019) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2019.102863 · Cited by 41 · see citing works
Rahhal, M. M. A., Bazi, Y., Abdullah, T., Mekhalfi, M. L., Alhichri, H. S., & Zuair, M. (2018) · Remote Sensing · doi:10.3390/rs10121890 · Cited by 41 · see citing works
Xu, H., Liu, L., Zhi, S., Fu, S., Su, Z., Cheng, M., & Liu, Y. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3374222 · Cited by 39 · see citing works
Scene Classification of Remote Sensing Images Based on Saliency Dual Attention Residual Network
Guo, D., Xia, Y. J., & Luo, X. (2020) · IEEE Access · doi:10.1109/access.2019.2963769 · Cited by 39 · see citing works
- Authors
- Zhou, W., Newsam, S., Li, C., & Shao, Z.
- Affiliations
- Wuhan University (CN)
- University of California, Merced (US)
- Corresponding author
- Shao, Zhenfeng
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 145
- Pages
- 197-209
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2626107033
- Cited by
- 571
- References
- 138
- Citations by year
- 2026: 64 · 2025: 79 · 2024: 78 · 2023: 86 · 2022: 74 · 2021: 65 · 2020: 61 · 2019: 44 · 2018: 19 · 2017: 1
- FWCI
- 35.81
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Key Technologies Research and Development Program (2016YFB0502603)
- Fundamental Research Funds for the Central Universities (2042016kf0179, 2042016kf1019, 2016070204010114)
- Wuhan Chen Guang Project
- Guangzhou science and technology project (201604020070)
- Special task of technical innovation in Hubei Province (2016AAA018)
- National Natural Science Foundation of China (61671332, 41771452, 41771454)
- Topics
- Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- remote sensing image retrieval, benchmark dataset, high-resolution imagery, land use and land cover classification, deep learning, performance evaluation, background noise
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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