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

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

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

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

Deep learning

LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126

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

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

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

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

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

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

Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning

Xu, F., Yang, W. T., Jiang, T., Lin, S., Luo, H., & Xia, G.-S. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2984316 · Cited by 39

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification

Zhang, Z., Liu, S., Zhang, Y., & Chen, W. (2021) · Remote Sensing · doi:10.3390/rs14010141 · Cited by 39

Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery

Higa, L. T., Marcato, J., Rodrigues, T. R., Zamboni, P., Silva, R., Almeida, L., Liesenberg, V., Roque, F. D. O., Libonati, R., Gonçalves, W. N., et al. (2022) · Remote Sensing · doi:10.3390/rs14030688 · Cited by 40

Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification

Li, J., Xu, M., Chen, H., Liu, W., Chen, L., & Xie, Y. (2024) · Remote Sensing · doi:10.3390/rs16173200 · Cited by 37

Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

Zhang, C., & Wang, S. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00780 · Cited by 60

CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2

Virnodkar, S. S., Pachghare, V., Patil, V. C., & Jha, S. K. (2020) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2020.09.005 · Cited by 37

Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing

Tang, X., Liu, C., Ma, J., Zhang, X., Liu, F., & Jiao, L. (2019) · Remote Sensing · doi:10.3390/rs11172055 · Cited by 37

Multi-deep features fusion for high-resolution remote sensing image scene classification

Yuan, B., Han, L., Gu, X., & Yan, H. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-05071-7 · Cited by 36

EarthVQANet: Multi-task visual question answering for remote sensing image understanding

Wang, J., Ma, A., Chen, Z., Zheng, Z., Wan, Y., Zhang, L., & Zhong, Y. (2024) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2024.05.001 · Cited by 45

Vision-Language Modeling Meets Remote Sensing: Models, datasets, and perspectives

Weng, X., Pang, C., & Xia, G.-S. (2025) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2025.3572702 · Cited by 47

Deep Unsupervised Embedding for Remote Sensing Image Retrieval Using Textual Cues

Rahhal, M. M. A., Bazi, Y., Abdullah, T., Mekhalfi, M. L., & Zuair, M. (2020) · Applied Sciences · doi:10.3390/app10248931 · Cited by 36

A Multi-Level Convolution Pyramid Semantic Fusion Framework for High-Resolution Remote Sensing Image Scene Classification and Annotation

Sun, X., Zhu, Q., & Qin, Q. (2021) · IEEE Access · doi:10.1109/access.2021.3052977 · Cited by 35

An Attention Cascade Global–Local Network for Remote Sensing Scene Classification

Shen, J., Yu, T., Yang, H., Wang, R., & Wang, Q. (2022) · Remote Sensing · doi:10.3390/rs14092042 · Cited by 37

Remote sensing image scene classification by transfer learning to augment the accuracy

Thirumaladevi, S., Veeraswamy, K., & Sailaja, M. (2022) · Measurement Sensors · doi:10.1016/j.measen.2022.100645 · Cited by 35

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

PCLUDA: A Pseudo-Label Consistency Learning- Based Unsupervised Domain Adaptation Method for Cross-Domain Optical Remote Sensing Image Retrieval

Hou, D., Wang, S., Tian, X., & Xing, H. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3233133 · Cited by 33

More accurate less meaningful? A critical physical geographer’s reflection on interpreting remote sensing land-use analyses

Braun, A. (2021) · Progress in Physical Geography Earth and Environment · doi:10.1177/0309133321991814 · Cited by 36

Deep learning in different remote sensing image categories and applications: status and prospects

Bai, Y., Zhao, Y., Shao, Y., Zhang, X., & Yuan, X. (2022) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2048319 · Cited by 34

Knowledge-Aware Text–Image Retrieval for Remote Sensing Images

Li, M., Dai, X., Castillo-Navarro, J., & Tuia, D. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3486977 · Cited by 33

COCO-Net: A Dual-Supervised Network With Unified ROI-Loss for Low-Resolution Ship Detection From Optical Satellite Image Sequences

Xu, Q., Li, Y., Zhang, M., & Li, W. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3201530 · Cited by 31

Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval

Hu, G. Y., Wen, Z., Lv, Y., Zhang, J., & Wu, Q. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3401031 · Cited by 30

Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification

Liu, Y., Han, Z., Chen, C., Ding, L., & Liu, Y. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2979011 · Cited by 31

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

Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI

Aires, F., Boucher, E., & Pellet, V. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112553 · Cited by 30

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

Gu, X., Zhang, C., Shen, Q., Han, J., Angelov, P. P., & Atkinson, P. M. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.11.014 · Cited by 29

Language Integration in Remote Sensing: Tasks, datasets, and future directions

Bashmal, L., Bazi, Y., Melgani, F., Rahhal, M. M. A., & Zuair, M. (2023) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2023.3316438 · Cited by 30

A New Re-Ranking Method Based on Convolutional Neural Network and Two Image-to-Class Distances for Remote Sensing Image Retrieval

Ye, F., Dong, M., Luo, W., Chen, X., & Min, W. (2019) · IEEE Access · doi:10.1109/access.2019.2944253 · Cited by 28

E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution

Yu, Y., Li, X., & Fu-xian, L. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2966669 · Cited by 28

Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images

Wu, Z., Xu, J., Wang, Y., Sun, F., Tan, M., & Weise, T. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.10.010 · Cited by 27

An Attention-Enhanced End-to-End Discriminative Network With Multiscale Feature Learning for Remote Sensing Image Retrieval

Hou, D., Wang, S., Tian, X., & Xing, H. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3208107 · Cited by 28

A large scale training sample database system for intelligent interpretation of remote sensing imagery

Cao, Z., Jiang, L., Yue, P., Gong, J., Hu, X., Liu, S., Tan, H., Liu, C., Shangguan, B., & Yu, D. (2023) · Geo-spatial Information Science · doi:10.1080/10095020.2023.2244005 · Cited by 28

Cross-Domain Scene Classification by Integrating Multiple Incomplete Sources

Gong, T., Zheng, X., & Lu, X. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3034344 · Cited by 29

REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET

Schmitt, M., & Wu, Y.-L. (2021) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi:10.5194/isprs-annals-v-2-2021-101-2021 · Cited by 33

Unsupervised flood detection on SAR time series using variational autoencoder

Yadav, R., Nascetti, A., Azizpour, H., & Yifang Ban, A. (2023) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2023.103635 · Cited by 27

Toward Open-World Remote Sensing Imagery Interpretation: Past, present, and future

Lang, C., Cheng, G., Wu, J., Li, Z., Xie, X., Li, J., & Han, J. (2024) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2024.3505602 · Cited by 30

Contourlet-CNN for SAR Image Despeckling

Liu, G., Kang, H., Wang, Q., Tian, Y., & Wan, B. (2021) · Remote Sensing · doi:10.3390/rs13040764 · Cited by 27

Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification

Chen, J., Huang, H., Peng, J., Zhu, J., Chen, L., Tao, C., & Li, H. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3063287 · Cited by 28

Attention boosted bilinear pooling for remote sensing image retrieval

Wang, Y., Ji, S., Lü, M., & Zhang, Y. (2019) · International Journal of Remote Sensing · doi:10.1080/01431161.2019.1697010 · Cited by 28

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

Cao, Y., Wang, Y., Peng, J., Zhang, L., Xu, L., Yan, K., & Li, L. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2991545 · Cited by 26

Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions

Kumari, M., & Kaul, A. (2023) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.7733 · Cited by 27

A deep transfer learning model for green environment security analysis in smart city

Sahu, M., Dash, R., Mishra, S. K., Humayun, M., Alfayad, M., & Assiri, M. (2024) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2024.101921 · Cited by 26

RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification

Zhang, P., Li, Y., Wang, D., & Wang, J. (2021) · Sensors · doi:10.3390/s21051566 · Cited by 28

Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote Sensing Scene Classification

Zhang, J., Rao, Y., Huang, X., Li, G., Zhou, X., & Zeng, D. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3372416 · Cited by 28

How high are we? Large-scale building height estimation at 10 m using Sentinel-1 SAR and Sentinel-2 MSI time series

Yadav, R., Nascetti, A., & Yifang Ban, A. (2024) · Remote Sensing of Environment · doi:10.1016/j.rse.2024.114556 · Cited by 25

CILEA-NET: Curriculum-Based Incremental Learning Framework for Remote Sensing Image Classification

Bhat, S. D., Banerjee, B., Chaudhuri, S., & Bhattacharya, A. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3084408 · Cited by 25

A Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval

Cheng, Q., Huang, H., Ye, L., Fu, P., Gan, D., & Zhou, Y. (2021) · Remote Sensing · doi:10.3390/rs13244965 · Cited by 25

Aircraft Classification Based on PCA and Feature Fusion Techniques in Convolutional Neural Network

Azam, F., Rizvi, A., Khan, W. Z., Aalsalem, M. Y., Yu, H., & Zikria, Y. B. (2021) · IEEE Access · doi:10.1109/access.2021.3132062 · Cited by 25

Accurate Label Refinement From Multiannotator of Remote Sensing Data

Wang, X., Chen, L., Ban, T., Lyu, D., Guan, Y., Wu, X., Zhou, X., & Chen, H. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3241402 · Cited by 29

Remote Sensing Image Retrieval by Deep Attention Hashing With Distance-Adaptive Ranking

Zhang, Y., Zheng, X., & Lu, X. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3271303 · Cited by 25

Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources

Ngo, B. H., Kim, J. H., Park, S. J., & Cho, S. I. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3190476 · Cited by 25

Hash-Based Remote Sensing Image Retrieval

Han, L., Paoletti, M. E., Tao, X., Wu, Z., Haut, J. M., Li, P., Vargas, R., & Plaza, A. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3429350 · Cited by 29

BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image UnderstandingPreprint

Sümbül, G., Kang, J. S., Kreuziger, T., Marcelino, F., Costa, H., Benevides, P. J., Caetano, M. R., & Demir, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.06372 · Cited by 23

Jitter Detection and Image Restoration Based on Generative Adversarial Networks in Satellite Images

Wang, Z., Zhang, Z., Dong, L., & Xu, G. (2021) · Sensors · doi:10.3390/s21144693 · Cited by 23

TorchGeo: Deep Learning With Geospatial Data

Stewart, A. J., Robinson, C., Corley, I., Ortiz, A., Ferres, J. L., & Banerjee, A. (2024) · ACM Transactions on Spatial Algorithms and Systems · doi:10.1145/3707459 · Cited by 52

Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval

Liu, P., Gou, G., Xue, S., Tao, D., & Zhou, Q. (2020) · Sensors · doi:10.3390/s20010291 · Cited by 23

WH-MAVS: A Novel Dataset and Deep Learning Benchmark for Multiple Land Use and Land Cover Applications

Yuan, J., Ru, L., Wang, S., & Wu, C. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3142898 · Cited by 26

Exploiting deep and hand-crafted features for texture image retrieval using class membership

Yelchuri, R., Dash, J. K., Singh, P., Mahapatro, A., & Panigrahi, S. (2022) · Pattern Recognition Letters · doi:10.1016/j.patrec.2022.06.017 · Cited by 21

TISD: A Three Bands Thermal Infrared Dataset for All Day Ship Detection in Spaceborne Imagery

Li, L., Yu, J., & Chen, F. (2022) · Remote Sensing · doi:10.3390/rs14215297 · Cited by 22

How to Improve the Reproducibility, Replicability, and Extensibility of Remote Sensing Research

Kedron, P., & Frazier, A. E. (2022) · Remote Sensing · doi:10.3390/rs14215471 · Cited by 26

Progressive Task-Based Universal Network for Raw Infrared Remote Sensing Imagery Ship Detection

Li, Y., Xu, Q., He, Z., & Li, W. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3275619 · Cited by 22

Energy-Based CNN Pruning for Remote Sensing Scene Classification

Lu, Y., Gong, M., Hu, Z., Zhao, W. Z., Guan, Z., & Zhang, M. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3277077 · Cited by 25

A Hyperparameter-Free Attention Module Based on Feature Map Mathematical Calculation for Remote-Sensing Image Scene Classification

Wan, Q., Xiao, Z., Yu, Y., Liu, Z., Wang, K., & Li, D. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3335627 · Cited by 27

Domain-Controlled Prompt Learning

Cao, Q., Xu, Z., Chen, Y., Ma, C., & Yang, X. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i2.27853 · Cited by 29

Visual Global-Salient-Guided Network for Remote Sensing Image-Text Retrieval

He, Y., Xu, X., Chen, H., Li, J., & Pu, F. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3466389 · Cited by 22

RingMoGPT: A Unified Remote Sensing Foundation Model for Vision, Language, and Grounded Tasks

Wang, P., Hu, H., Tong, B., Zhang, Z., Yao, F., Feng, Y., Zhu, Z., Chang, H., Diao, W., Ye, Q., et al. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3510833 · Cited by 35

Visual Question Generation From Remote Sensing Images

Bashmal, L., Bazi, Y., Melgani, F., Ricci, R., Rahhal, M. M. A., & Zuair, M. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3261361 · Cited by 22

Multilayer Evolving Fuzzy Neural Networks With Self-Adaptive Dimensionality Compression for High-Dimensional Data Classification

Gu, X., Ni, Q., & Shen, Q. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3446959 · Cited by 21

Fusion Based Feature Extraction and Optimal Feature Selection in Remote Sensing Image Retrieval

Vharkate, M. N., & Musande, V. B. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-11997-y · Cited by 20

SAR image edge detection: review and benchmark experiments

Meester, M. J., & Baslamisli, A. S. (2022) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2131480 · Cited by 25

Deep Saliency Smoothing Hashing for Drone Image Retrieval

Chen, Y., Huang, J., Mou, L., Jin, P., Xiong, S., & Zhu, X. X. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3255302 · Cited by 20

All Adder Neural Networks for On-Board Remote Sensing Scene Classification

Zhang, N., Wang, G., Wang, J., Chen, H., Liu, W., & Chen, L. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3267445 · Cited by 21

Deep built-structure counting in satellite imagery using attention based re-weighting

Shakeel, A., Sultani, W., & Ali, M. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.03.014 · Cited by 20

Exploiting low dimensional features from the MobileNets for remote sensing image retrieval

Hou, D., Miao, Z., Xing, H., & Wu, H. (2020) · Earth Science Informatics · doi:10.1007/s12145-020-00484-3 · Cited by 20

RSTeller: Scaling up visual language modeling in remote sensing with rich linguistic semantics from openly available data and large language models

Ge, J., Zhang, X., Zheng, Y., Guo, K., & Liang, J. (2025) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2025.05.002 · Cited by 22

Squeezing Data from a Rock: Machine Learning for Martian Science

Nagle-McNaughton, T., Scuderi, L. A., & Erickson, N. (2022) · Geosciences · doi:10.3390/geosciences12060248 · Cited by 19

Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification

Zhao, D., Wang, Q., Zhang, J., & Bai, C. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3270204 · Cited by 19

Global Optimization: Combining Local Loss With Result Ranking Loss in Remote Sensing Image Retrieval

Fan, L., Zhao, H., & Zhao, H. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3029334 · Cited by 20

Toward Content-Based Hyperspectral Remote Sensing Image Retrieval (CB-HRSIR): A Preliminary Study Based on Spectral Sensitivity Functions

Ahmed, O. B., Urruty, T., Richard, N., & Fernández-Maloigne, C. (2019) · Remote Sensing · doi:10.3390/rs11050600 · Cited by 18

Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment

Ouyang, X., Xu, Y., Mao, Y., Liu, Y., Wang, Z., & Yan, Y. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3231890 · Cited by 18

Contrasting Dual Transformer Architectures for Multi-Modal Remote Sensing Image Retrieval

Rahhal, M. M. A., Bencherif, M. A., Bazi, Y., Alharbi, A., & Mekhalfi, M. L. (2022) · Applied Sciences · doi:10.3390/app13010282 · Cited by 20

HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification

Song, W., Cong, Y., Zhang, S., Wu, Y., & Zhang, P. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3298492 · Cited by 18

Domain Prompt Learning with Quaternion Networks

Cao, Q., Xu, Z., Chen, Y., Chao, M., & Yang, X. (2024) · 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/cvpr52733.2024.02515 · Cited by 18

EarthNets: Empowering artificial intelligence for Earth observation

Xiong, Z., Zhang, F., Wang, Y., Shi, Y., & Zhu, X. X. (2024) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2024.3466998 · Cited by 108

Attitude Jitter Compensation for Remote Sensing Images Using Convolutional Neural Network

Zhang, Z., Iwasaki, A., & Xu, G. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2897710 · Cited by 18

An Improved Pretraining Strategy-Based Scene Classification With Deep Learning

Chen, Z., Wang, Y., Han, W., Feng, R., & Chen, J. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2934341 · Cited by 18

High-Resolution Remote Sensing Image Retrieval Based on Classification-Similarity Networks and Double Fusion

Liu, Y., Chen, C., Han, Z., Ding, L., & Liu, Y. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.2981372 · Cited by 18

Content-Based Remote Sensing Image Retrieval Based on Fuzzy Rules and a Fuzzy Distance

Ye, F., Luo, W., Dong, M., Li, D., & Min, W. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2020.3030858 · Cited by 18

Deep learning for remotely sensed data

Mountrakis, G., Li, J., Lu, X., & Hellwich, O. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.08.011 · Cited by 18

SAR-DRDNet: A SAR image despeckling network with detail recovery

Wu, W., Huang, X., Shao, Z., Teng, J., & Li, D. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.04.066 · Cited by 17

DO WE STILL NEED IMAGENET PRE-TRAINING IN REMOTE SENSING SCENE CLASSIFICATION?

Risojević, V., & Stojnić, V. (2022) · 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-xliii-b3-2022-1399-2022 · Cited by 24

Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification

Huang, H., Mou, Z., Li, Y., Li, Q., Chen, J., & Li, H. (2022) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2022.3173419 · Cited by 17

Remote Sensing Scene Classification Based on Attention-Enabled Progressively Searching

Shen, J., Cao, B., Zhang, C., Wang, R., & Wang, Q. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3186588 · Cited by 18

A Light-Weighted Hypergraph Neural Network for Multimodal Remote Sensing Image Retrieval

Yu, H., Deng, C., Zhao, L., Hao, L., Liu, X., Lu, W., & You, H. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3252670 · Cited by 17

Localizing From Classification: Self-Directed Weakly Supervised Object Localization for Remote Sensing Images

Bai, J., Ren, J., Xiao, Z. Q., Chen, Z., Gao, C., Ali, T. A. A., & Jiao, L. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3309889 · Cited by 19

Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis

Gargees, R. S., & Scott, G. J. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2948799 · Cited by 17

Spatial Information Considered Network for Scene Classification

Tao, C., Lu, W., Qi, J., & Wang, H. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2020.2992929 · Cited by 17

A Learnable Joint Spatial and Spectral Transformation for High Resolution Remote Sensing Image Retrieval

Wang, Y., Ji, S., & Zhang, Y. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3103216 · Cited by 18

Transfer Learning in Earth Observation Data Analysis: A review

Nowakowski, A., Rosso, M. P. D., Zachar, P., Spiller, D., Gabara, G., Barretta, D., Kalinowska, K. B., Choromański, K., Wilkowski, A., Sebastianelli, A., et al. (2024) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2024.3494673 · Cited by 17

A novel multi-attention fusion network with dilated convolution and label smoothing for remote sensing image retrieval

Wang, S., Hou, D., & Xing, H. (2022) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2035465 · Cited by 16

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition

Cheng, P., Li, Y., Shang, R., & Jiao, L. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.03.046 · Cited by 16

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