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

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Distinctive Image Features from Scale-Invariant Keypoints

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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

The Convolutional Recurrent Structure in Computer Vision Applications

Xie, D. (2021) · doi:10.12794/metadc1873860

An Intelligent Two-Stage Hybrid Hierarchical Classification using Optimized Label Propagation for Remote Sensing Image Retrieval

Sudha, S. K., & Aji, S. (2025) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-025-02136-9

An adaptive weight mechanism for recognizing unknown samples in remote sensing scene images

Ji, X. (2024) · IEEE Smart World Congress (SWC) · doi:10.1109/swc62898.2024.00294

A Comparative and Experimental Study of Deep Learning Semantic Segmentation Methods for Land Cover Mapping

Salhi, W., Honnit, B., Saidi, M. N., & Kabbaj, A. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-74470-9_33

MCDGMatch: Multilevel Consistency Based on Data-Augmented Generalization for Remote Sensing Image Classification

Liu, P., Liu, X., Liu, Z., Li, H., & Zhou, Q. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3564592

Kernel clustering-based deep model pruning for few category datasets

Huang, Y., Xie, J., Wang, K., & Wu, C. (2025) · Intelligent Data Analysis · doi:10.1177/1088467x251344924

Sensitive Target Hiding in Remote Sensing Images Based on Diffusion Models

Lu, Y. M., & Tian, X. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-9794-6_10

Deep Learning-Driven Attitude Jitter Estimation

Zhang, Z. (2025) · Scientific computation · doi:10.1007/978-981-95-0023-9_2

Optimized Land Cover Classification: A Lightweight Approach to High-Resolution Remote Sensing

Jain, V. K., Chandra, T. B., Agrawal, J., Pandey, D., & Pandey, D. (2025) · International Conference on Computer Technologies (ICCTech) · doi:10.1109/icctech66294.2025.00034

AI for Earth Observation

Astsatryan, H. V., Lalayan, A., & Giuliani, G. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-88486-3_10

Multi-Grained Vision-Language Model with Disentangled Prompt Learning for Multisource Domain AdaptationPreprint

Zhou, Z., & Xu, K. L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5405069

Open-Vocabulary Object Detection for Remote Sensing ImagesPreprint

Li, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5434798

Heterogeneous Knowledge Distillation Fostered Pre-training for remote sensing object detection

Liu, F., Zhang, X., Zhang, C., Yao, L., Cheng, F., Li, X., & Yu, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114030

RSDiX: Lightweight and Data-Efficient VLMs for Remote Sensing through Self-Distillation

Terlizzi, A., Nazzaro, A., Bernardi, L., Bardozzo, F., & Tagliaferri, R. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228553

INNAR: Intelligent known and novel aircraft recognition introducing novelty detection interface

Saeed, A., Atif, H. B., Habib, U., & Bilal, M. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.114862

Training-free outlier exposure for remote sensing out-of-distribution detection

Dimitrić, D., & Risojević, V. (2025) · International Journal of Data Science and Analytics · doi:10.1007/s41060-025-00959-w

Remote Sensing Image Retrieval Combining Global Features and Correlation-Based Local Features

Li, L., Zhou, A., & Yao, J. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3639244

Collection-driven and resolution-aware prompt learning for few-shot remote sensing scene classification

Zheng, Y., Wang, S., & Gao, Y. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.115144

MTFM: Multi-Teacher Feature Matching for Cross-Dataset and Cross-Architecture Adversarial Robustness Transfer in Remote Sensing Applications

Rogannagari, R. K., & Islam, K. A. (2025) · Remote Sensing · doi:10.3390/rs18010008

Semantic Consistency Interaction With Calibration Loss for Remote Sensing Image–Text Retrieval

Xu, J., Ge, Y., Zeng, Y., & Liu, H. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3649046

Unlabeled data assisted domain adaptation for cross-scene image classification

Wang, S., Niu, J., & Bennamoun, M. (2026) · Advances in Space Research · doi:10.1016/j.asr.2026.01.028

Transfer Learning in Convolutional Neural Networks for Fire Scene Classification in the Pantanal Biome (Brazil)Preprint

Mojica, J. E. P., Belloli, T. F., Herrmann, P. B., Dias, A. J. M. G., Cano, D., Silva, C. S., & Zanotta, D. C. (2026) · Research Square · doi:10.21203/rs.3.rs-8594578/v1

Intelligent Deep Learning Based Feature Fusion Model for Remote Sensing Image Analysis

Rathod, V. V., Rana, D. P., & Mehta, R. G. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-10250-8_36

Feature-based image processing in remote sensing: future prospects and research directions

Misra, I., Rohil, M. K., Moorthi, S. M., & Dhar, D. (2026) · Advances in Space Research · doi:10.1016/j.asr.2026.02.093

FGR-GA: Integrating Fine-Grained Representation Refinement and Group-Aware Alignment for Remote Sensing Image–Text Retrieval

Yu, C., Ye, Z., Cai, L., Xiang, T., & Gao, C. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3670002

Cross-Dataset Generalization of ConvNeXt-Tiny for Remote Sensing Scene Classification

Nafi’iyah, N., Harjoko, A., & Hidayanto, A. N. (2026) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.17607

Hardness-aware adaptive triplet learning approach for content-based image retrieval from remote sensing archives

R, A. K., Byju, A. P., & Garea, J. A. S. (2026) · Geocarto International · doi:10.1080/10106049.2026.2656085

Analysis of Few-Shot Transfer Learning for Image Classification on Spacecraft

Wang, E., & George, A. D. (2025) · IEEE Space Computing Conference (SCC) · doi:10.1109/scc66396.2025.00017

CiviViL: multimodal interpretation of composite urban facility scenes with spatial-semantic-aware bidirectional cross-attention

Du, Z., Zhou, N., Zhou, M., Zhang, C., Shi, W., Wang, J., Zhou, Q., & 眭海刚 (2026) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2026.04.024

Bridging the domain gap in remote sensing: A comparative study of deep CORAL, DAN, and DANN on multi-sensor aerial image datasets

Kumar, S., & Jadav, K. R. (2026) · AIP conference proceedings · doi:10.1063/12.0043796

Local Prior-Enhanced Vision-Language model with Reconstructed prompt learning for multisource domain adaptation

Xu, K., Pan, R., & Zhu, Z. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132722

Vision-informed Semantic Text Alignment for Open-set Recognition in Remote Sensing

Gole, S., Pal, A., Jha, A., Chaudhuri, S., & Banerjee, B. (2026) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61042.2026.00277

Robust Remote Sensing Scene Classification via Diffusion-Based Knowledge Distillation Under Mixed-Noise Degradation

Li, L., Chu, X., Li, X., & Li, N. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3691073

Adaptive computer vision based k means clustering and fuzzy pyramid support feature model for accurate classification of wheat rust disease

Kumar, D., Kukreja, V., Ahuja, V., Sharma, M., & Bhardwaj, V. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01355-4

Category-Aware Differential Token Transformer for Weakly Supervised Object Localization in Optical Remote Sensing Images

Bai, J., Huang, J., Xiao, Z., Xia, B., Li, T., & Jiao, L. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3693241

Robust Copyright Verification for Remote Sensing Datasets via Latent Space Embedding

Zhang, S., Zhang, L., & Qiu, Y. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.104934

Transfer learning in convolutional neural networks for fire scene classification in the Pantanal Biome (Brazil)

Mojica, J. E. P., Belloli, T. F., Herrmann, P. B., Dias, A. J. M. G., Cano, D., Silva, C. S. S. S., & Zanotta, D. C. (2026) · Revista de teledetección: Revista de la Asociación Española de Teledetección · doi:10.4995/raet.2026.25679

Benchmarking Composed Image Retrieval for Applied Earth ObservationPreprint

Psomas, B., Christopoulos, D., Petropoulos, T., Efthymiadis, N., Kakogeorgiou, I., Chum, O., Avrithis, Y., Tolias, G., & Karantzalos, K. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6853482

MSAA‐MSDA: A Multi‐Source Domain Adaptation Method for Remote Sensing Scene Classification Based on Multi‐Scale Attention Aggregation

Dai, W., Xu, H., Yuan, L., Wang, X., & Wen, X. (2026) · IET Image Processing · doi:10.1049/ipr2.70400

Domain Adaptive Remote Sensing Scene Recognition via Transferable Discriminative Visual Prompting

Fu, Z., Yang, L. W., & Wang, S. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3703098

SatCLA: A Collaborative LLM-Driven Framework for Annotation of LEO Satellite Imagery

Zeng, G., Luo, J., Sun, P., Qiao, Y., & Liu, A. (2026) · International Conference on Multimedia Retrieval · doi:10.1145/3805622.3810785

MMARNet: Two-Stage Remote Sensing Image Registration with Multimodal Attention Mechanism

Liu, X., Shi, G., Huang, Z., Ji, J., & Miao, Q. (2026) · Remote Sensing · doi:10.3390/rs18121983

T2Net: Taxonomy-Guided Tree-Structured Prompt Learning for Few-Shot Remote Sensing Scene Classification

Zheng, Y., Wang, S., Gao, Y., & Liu, D. (2026) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2026.06.017

IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework

Wang, S., Yu, Y., He, Y., Guan, W., & Gong, Y. (2026) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2026.3706761

Class-Guided Visual-Language Prompt Learning Model for Remote Sensing Image Classification

Li, D., Shan, Y., & Liu, Y. (2026) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2026.3708468

MDC-MobileNetV3: A Lightweight Multi-Scale Hierarchical Attention Network for Remote Sensing Scene Classification

Liu, H., Wang, X., Sun, J. F., Yang, X., & Wang, Z. (2026) · Sensors · doi:10.3390/s26134174

Tiper: Tokenwise Prompt-Free Learning

Gong, T., Wu, J., Chen, Y., & Xiong, S. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3712293

Low-Energy Resource Optimization and Task Assignment for Satellite Edge Computing Networks

Yang, X., Feng, J., Liu, L., Pei, Q., Dong, M., Li, K., & Dustdar, S. (2026) · IEEE Transactions on Computers · doi:10.1109/tc.2026.3713664

MFDiffSR: A Multi-Scale Feature and Conditional Diffusion Framework for Real-World Image Super-ResolutionPreprint

Shi, M., Zhao, J., & Cai, W. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7153799

Knowledge-Guided Vision-Language Models Prompt Learning for Open-Vocabulary Remote Sensing Image Scene Classification

Ma, A., Shen, W., Yang, R., Zheng, Z., Wang, J., & Zhong, Y. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3715502

Hybrid Quantum-Classical Convolutional Neural Network With Attention-Based Feature Fusion for Remote Sensing Image Classification

Zhou, G., Xu, R. A. N., & Xiao, J. (2026) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2026.3716373

Multi-layer and heterogeneous mutual prompting for domain-adaptive remote sensing scene recognition

Fu, Z., Ma, C., & Wang, S. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.116729

A survey of multimodal remote sensing foundation models: Evolution, datasets, applications, and future directions

Li, C., Bai, L., Lv, J., Luo, X., Peng, B., Wang, C., Zhang, P., Li, G., & Qian, Y. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104679

MpGI: Multiperspective Generation and Integration for High-Quality Remote Sensing Image–Text Datasets

He, Y., Zhu, J., Wang, J., Li, Y., Zhang, X., Zhang, X., Qiu, C., Huang, Q., & Yang, K. C. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3722225

FICA: Fine-Grained Invariant Causal Adaptation for few-shot remote sensing scene classification

Gao, Y., Qu, J., Lei, L., & Wang, S. (2026) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2026.07.023

Frozen DINOv2–CLIP Fusion and Binary Hashing for Remote Sensing Image Retrieval: A Controlled Evaluation

Jumi, J. A., Mulyono, T., Zaenuddin, A., & Suwardi, S. (2026) · Journal of Computing Theories and Applications · doi:10.62411/jcta.16661

Multimodal retrieval of flood-related remote sensing big data with semantic augmentation from flood events

Zhou, Y., Ma, Y., Zhang, Z., & Liu, P. (2026) · Big Earth Data · doi:10.1080/20964471.2026.2689766

TAFE-CLIP: A Multimodal Model for Long-Tailed Remote Sensing Image Classification

Zhou, G., Wang, J., Geng, Y., Gao, E., Xu, J., & Lu, Y. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3725825

Dynamic Priority Replay and Boundary-Aware Distillation for Remote Sensing Scene Domain Incremental Classification

Hu, J., & Li, X. (2026) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2026.3729604

ORBIT-FL: Scene-aware and budget-adaptive federated continual learning for multi-UAV environmental monitoring

Zhao, Y., Hu, W., Hu, H., Cui, H., & Sun, Q. (2026) · Future Generation Computer Systems · doi:10.1016/j.future.2026.108775

Bridging Remote Sensing Imagery and Natural Language: A Comprehensive Review of Vision-Language Models

Wang, Y., Yue, J., Dai, Y., Liang, H., Xu, D., & Wang, S. (2026) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2026.3729827

QoS-Aware Orchestration for on-Orbit Training Services Across LEO Satellite Systems

Yang, N., Javadi, B., Calheiros, R. N., Boland, D., Umair, M., & Leong, P. H. W. (2026) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws72778.2026.00113

MV-PT: Multi-view domain-consistent guided prompt tuning for vision-language models

Yang, Q., & Gao, Y. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.135124

Elastic Deep Neural Network for Adaptive Feature Extraction in Remote Sensing Image Retrieval

Kasetty, S. B., Rajakumar, K., Margret, I. N., Manikandan, S., & Mohammad, A. (2026) · IEEE Access · doi:10.1109/access.2026.3734223

When Does Embedding Arithmetic Fail? A Systematic Analysis in Remote Sensing Vision–Language Models

Hong, J., & Yu, L. (2026) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2026.3736492

GhostCLIP: Ephemeral Visual Teaching for Zero-Inference-Overhead Remote Sensing Enhancement

Chen, B., Fang, Y., Liu, J., Ding, X., Huang, Y., & Guo, H. (2026) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2026.3736626

Few-Shot Remote Sensing Scene Classification Leveraging Collaboration of Foundation Models

Ji, H., Gao, Z., Gong, Y., Shi, Z., Zhang, Y., Chai, X., & Wang, J. (2026) · Remote Sensing · doi:10.3390/rs18193392

Reference Data Generation for Remote Sensing Image Classification: A Comprehensive Review of Methods, Challenges, and Recent Advances

Torun, A. T., & Ozdarici-Ok, A. (2026) · Remote Sensing · doi:10.3390/rs18203479

Aero‐ VLM : Vision‐Language Guided Oriented Aircraft Detection for Remote Sensing Imagery

Nasir, F. A., Khurshid, K., Khan, S. I. A., Tahir, M., Rahman, W. U., & Irtaza, S. A. (2026) · Expert Systems · doi:10.1111/exsy.70450

Spatially Bound Block-Wise Image Encryption with Merkle Integrity and BLS Aggregation: Enabling Tamper Localisation Before Decryption

Singh, P., & Bhargav, R. (2026) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-026-11727-8

Consistent and Robust Visual Explanations for Remote Sensing Image Classification

Sarkar, A., Ovi, P. R., Sharma, S., Rahnemoonfar, M., & Gangopadhyay, A. (2026) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss60577.2026.11730936

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