PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

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Deep Image Retrieval: Learning Global Representations for Image Search

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Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

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Aggregating Local Deep Features for Image Retrieval

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Unsupervised Feature Learning for Aerial Scene Classification

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Geographic Image Retrieval Using Local Invariant Features

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A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval

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Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases

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Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching

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Urban Area Detection Using Local Feature Points and Spatial Voting

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A practical guide to CNNs and Fisher Vectors for image instance retrieval

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A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval

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Evaluation of second-order visual features for land-use classification

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A Novel Interest-Point-Matching Algorithm for High-Resolution Satellite Images

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Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion

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A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification

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Performance Analysis of State-of-the-Art Representation Methods for Geographical Image Retrieval and Categorization

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Cast Shadow Removal Combining Local and Global Features

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Unsupervised Feature Learning for Land-Use Scene Recognition

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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

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

Interest 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

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

A generic discriminative part-based model for geospatial object detection in optical remote sensing images

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

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

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

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

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

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

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

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

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

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

Perception-based shape retrieval for 3D building models

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

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

An effective hyperspectral image retrieval method using integrated spectral and textural features

Shao, Z., Zhou, W., Cheng, Q., Diao, C., & Zhang, L. (2015) · Sensor Review · doi:10.1108/sr-10-2014-0716 · Cited by 17

Dual-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

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

Remote Sensing Image Retrieval with Combined Features Of Salient Region

Shao, Z., Zhou, W. X., & Cheng, Q. (2014) · ˜The œinternational 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

Urban 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

Using no‐parameter statistic features for texture image retrieval

Zhu, X., & Shao, Z. (2011) · Sensor Review · doi:10.1108/02602281111110004 · Cited by 9

An 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

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

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

Improving 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

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

Accurate object retrieval for high-resolution remote-sensing imagery using high-order topic consistency potentials

Zhang, T., Yan, W., Su, C., & Ji, S. (2015) · International Journal of Remote Sensing · doi:10.1080/01431161.2015.1079662 · Cited by 5

Deep learning in remote sensing applications: A meta-analysis and review

Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.04.015 · Cited by 2,456

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Helber, P., Bischke, B., Dengel, A., & Borth, D. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2918242 · Cited by 1,951

Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

Zhang, L., & Zhang, L. (2022) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2022.3145854 · Cited by 647

Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

Sümbül, G., Charfuelàn, M., Demir, B., & Markl, V. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8900532 · Cited by 623

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

Liu, F., Chen, D., Guan, Z., Zhou, X., Zhu, J., Ye, Q., Fu, L., & Zhou, J. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3390838 · Cited by 507

Two novel benchmark datasets from ArcGIS and bing world imagery for remote sensing image retrieval

Hou, D., Miao, Z., Xing, H., & Wu, H. (2020) · International Journal of Remote Sensing · doi:10.1080/01431161.2020.1804090 · Cited by 29

Remote Sensing Image Retrieval in the Past Decade: Achievements, Challenges, and Future Directions

Zhou, W., Guan, H., Li, Z., Shao, Z., & Delavar, M. R. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3236662 · Cited by 69

V-RSIR: A WEB-BASED TOOL AND BENCHMARK DATASET FOR REMOTE SENSING IMAGE RETRIEVAL

Hou, D., & Xing, H. (2019) · 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/isprs-archives-xlii-2-w13-1545-2019

V-RSIR: An Open Access Web-Based Image Annotation Tool for Remote Sensing Image Retrieval

Hou, D., Miao, Z., Xing, H., & Wu, H. (2019) · IEEE Access · doi:10.1109/access.2019.2924933 · Cited by 34

Study of Benchmark Datasets for Performance Evaluation of Content Based Image Retrieval System for Remote Sensing Images

Gupta, N. (2024) · International Journal of Intelligent Systems and Applications in Engineering