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

Deep Residual Learning for Image Recognition

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

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

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

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RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

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Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

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Convolutional neural networks for object detection in aerial imagery for disaster response and recovery

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Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis

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On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

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Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network

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Image retrieval from remote sensing big data: A survey

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Recent developments of content-based image retrieval (CBIR)

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Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study

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Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset

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Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing

Xu, K., Huang, H. B., Deng, P., & Li, Y. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3071369 · Cited by 186

LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery

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Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification

Li, Y., Kong, D., Zhang, Y., Tan, Y., & Chen, L. (2021) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2021.08.001 · Cited by 168

Deep Learning for SAR Image Despeckling

Lattari, F., León, B. G., Asaro, F., Rucci, A., Prati, C. M., & Matteucci, M. (2019) · Remote Sensing · doi:10.3390/rs11131532 · Cited by 160

Remote Sensing Image Classification: A Comprehensive Review and Applications

Mehmood, M., Shahzad, A., Zafar, B., Shabbir, A., & Ali, N. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/5880959 · Cited by 160

Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China

Liu, S. K., & Shi, Q. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.04.008 · Cited by 159

A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection

Gu, Y., Wang, Y., & Li, Y. (2019) · Applied Sciences · doi:10.3390/app9102110 · Cited by 149

A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing

Cheng, Q., Zhou, Y., Fu, P., Xu, Y. X., & Zhang, L. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3070872 · Cited by 155

When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification

Deng, P., Xu, K., & Huang, H. B. (2021) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2021.3109061 · Cited by 156

Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images

Li, Y., Zhang, Y., Huang, X., & Yuille, A. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.09.014 · Cited by 144

A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing

Ali, Z., Jiao, L., Baker, T., Abbas, G., Abbas, Z. H., & Khaf, S. (2019) · IEEE Access · doi:10.1109/access.2019.2947053 · Cited by 137

Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification

Li, Y., Zhang, Y., & Zhu, Z. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2989241 · Cited by 136

Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification

Fan, F., Shi, Y., Guggemos, T., & Zhu, X. X. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3312170 · Cited by 161

Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation

Tong, X., Xia, G.-S., Hu, F., Zhong, Y., Datcu, M. P., & Zhang, L. (2019) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2019.2948924 · Cited by 134

AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection

Zhang, J., Shao, Z., Ding, Q., Huang, X., Wang, Y., Zhou, X., & Li, D. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3300533 · Cited by 136

Land Use and Land Cover Classification Meets Deep Learning: A Review

Zhao, S., Tu, K., Ye, S., Tang, H., Hu, Y., & Xie, C. (2023) · Sensors · doi:10.3390/s23218966 · Cited by 152

Vision Transformer: An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification

Xu, K., Deng, P., & Huang, H. B. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3152566 · Cited by 134

Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery

Shendryk, Y., Rist, Y., Ticehurst, C., & Thorburn, P. J. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.08.018 · Cited by 122

Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification

Lu, X., Gong, T., & Zheng, X. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2951779 · Cited by 122

Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution

Martins, V. S., Kaleita, A. L., Gelder, B., da Silveira, H. L. F., & Abe, C. A. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.08.004 · Cited by 123

Siamese graph convolutional network for content based remote sensing image retrieval

Chaudhuri, U., Banerjee, B., & Bhattacharya, A. (2019) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2019.04.004 · Cited by 113

Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification

Li, Y., Zhu, Z., Yu, J.-G., & Zhang, Y. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3047447 · Cited by 122

Towards Geospatial Foundation Models via Continual Pretraining

Mendieta, M., Han, B., Shi, X., Zhu, Y., & Chen, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01541 · Cited by 157

Multilayer Feature Fusion Network for Scene Classification in Remote Sensing

Xu, K., Huang, H. B., Li, Y., & Shi, G. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2960026 · Cited by 110

From single- to multi-modal remote sensing imagery interpretation: a survey and taxonomy

Sun, X., Tian, Y., Lu, W., Wang, P., Niu, R., Yu, H., & Fu, K. (2023) · Science China Information Sciences · doi:10.1007/s11432-022-3588-0 · Cited by 119

SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing

Wang, Z., Prabha, R., Huang, T., Wu, J., & Rajagopal, R. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i6.28393 · Cited by 146

Enhancing remote sensing image retrieval using a triplet deep metric learning network

Cao, R., Zhang, Q., Zhu, J., Li, Q., Li, Q., Liu, B., & Qiu, G. (2019) · International Journal of Remote Sensing · doi:10.1080/2150704x.2019.1647368 · Cited by 107

Towards explaining anomalies: A deep Taylor decomposition of one-class models

Kauffmann, J., Müller, K., & Montavon, G. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107198 · Cited by 103

Few-Shot Classification of Aerial Scene Images via Meta-Learning

Zhang, P., Bai, Y., Wang, D., Bai, B., & Li, Y. (2020) · Remote Sensing · doi:10.3390/rs13010108 · Cited by 105

Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification

Dimitrovski, I., Kitanovski, I., Kocev, D., & Simidjievski, N. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.01.014 · Cited by 109

Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis

Thapa, A., Horanont, T., Neupane, B., & Aryal, J. (2023) · Remote Sensing · doi:10.3390/rs15194804 · Cited by 116

Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval

Kang, J. S., Fernández-Beltrán, R., Hong, D., Chanussot, J., & Plaza, A. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3016020 · Cited by 99

Remote Sensing Image Retrieval Using Convolutional Neural Network Features and Weighted Distance

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Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval

Liu, Y., Ding, L., Chen, C., & Liu, Y. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2984703 · Cited by 89

Generalized Scene Classification From Small-Scale Datasets With Multitask Learning

Zheng, X., Gong, T., Li, X., & Lu, X. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3116147 · Cited by 86

Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets

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Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps

Nitze, I., Heidler, K., Barth, S., & Grosse, G. (2021) · Remote Sensing · doi:10.3390/rs13214294 · Cited by 88

A benchmark data set for aircraft type recognition from remote sensing images

Wu, Z., Wan, S., Wang, X.-F., Tan, M., Zou, L., Li, X., & Chen, Y. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106132 · Cited by 83

Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification

Cheng, P., Li, Y., Jiao, L., & Shang, R. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3020424 · Cited by 79

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives

Berg, P., Pham, M., & Courty, N. (2022) · Remote Sensing · doi:10.3390/rs14163995 · Cited by 83

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning

Tao, C., Qi, J., Guo Zhang, A., Zhu, Q., Lu, W., & Li, H. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3271312 · Cited by 84

Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset

Günen, M. A. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-17177-z · Cited by 73

Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends

Qiu, C., Zhang, X., Tong, X., Guan, N., Yi, X., Yang, K., Zhu, J., & Yu, A. (2024) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2024.02.005 · Cited by 86

Global-Local Attention Network for Aerial Scene Classification

Guo, Y., Ji, J., Lu, X., Huo, H., Fang, T., & Li, D. (2019) · IEEE Access · doi:10.1109/access.2019.2918732 · Cited by 69

Transformer-based land use and land cover classification with explainability using satellite imagery

Khan, M., Hanan, A., Kenzhebay, M., Gazzea, M., & Arghandeh, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-67186-4 · Cited by 74

Combing Triple-Part Features of Convolutional Neural Networks for Scene Classification in Remote Sensing

Huang, H. B., & Xu, K. (2019) · Remote Sensing · doi:10.3390/rs11141687 · Cited by 67

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

A Discriminative Feature Learning Approach for Remote Sensing Image Retrieval

Xiong, W., Lv, Y., Cui, Y., Zhang, X., & Gu, X. (2019) · Remote Sensing · doi:10.3390/rs11030281 · Cited by 65

Exploiting representations from pre-trained convolutional neural networks for high-resolution remote sensing image retrieval

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A Deep Cross-Modality Hashing Network for SAR and Optical Remote Sensing Images Retrieval

Xiong, W., Xiong, Z., Zhang, Y., Cui, Y., & Gu, X. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.3021390 · Cited by 62

The Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data

Xu, M., Wu, M., Chen, K., Zhang, C., & Guo, J. H. (2022) · Remote Sensing · doi:10.3390/rs14174380 · Cited by 61

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval

Sun, Y., Ye, Y., Li, X., Feng, S., Zhang, B., Kang, J. S., & Dai, K. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107807 · Cited by 63

Asymmetric Hash Code Learning for Remote Sensing Image Retrieval

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

The color out of space: learning self-supervised representations for Earth Observation imagery

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 64

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

TorchGeo

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 80

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 63

Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts

Dutta, S., & Das, M. (2023) · Computers & Geosciences · doi:10.1016/j.cageo.2022.105295 · Cited by 54

Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

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 60

A Self-Supervised-Driven Open-Set Unsupervised Domain Adaptation Method for Optical Remote Sensing Image Scene Classification and Retrieval

Wang, S., Hou, D., & Xing, H. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3260873 · Cited by 55

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

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

A Triplet Nonlocal Neural Network With Dual-Anchor Triplet Loss for High-Resolution Remote Sensing Image Retrieval

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 54

Tobler’s First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection under Weak Supervision

Li, W., Hsu, C.-Y., & Hu, M. (2021) · Annals of the American Association of Geographers · doi:10.1080/24694452.2021.1877527 · Cited by 52

Intelligent Image Semantic Segmentation: A Review Through Deep Learning Techniques for Remote Sensing Image Analysis

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 58

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

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

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

Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery

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

MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification With Zoom-Free Remote Sensing Imagery

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

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

Advancements in satellite image classification : methodologies, techniques, approaches and applications

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

An evidential combination method with multi-color spaces for remote sensing image scene classification

Huang, L., Zhao, W., Liew, A. W., & You, Y. (2023) · Information Fusion · doi:10.1016/j.inffus.2022.12.025 · Cited by 45

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 50

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

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 47

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 46

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 50

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 43

SSDAN: Multi-Source Semi-Supervised Domain Adaptation Network for Remote Sensing Scene Classification

Lasloum, T., Alhichri, H. S., Bazi, Y., & Alajlan, N. (2021) · Remote Sensing · doi:10.3390/rs13193861 · Cited by 42

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 47

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images

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

Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery

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

Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning

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

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

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