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

Deep Residual Learning for Image Recognition

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Very Deep Convolutional Networks for Large-Scale Image Recognition

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ImageNet classification with deep convolutional neural networks

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Deep learning

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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

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Histograms of Oriented Gradients for Human Detection

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Reducing the dimensionality of data with neural networks

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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

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Deep CNN based online image deduplication technique for cloud storage system

Kaur, R., Bhattacharya, J., & Chana, I. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13182-7 · Cited by 16

Scene Level Image Classification: A Literature Review

Chavda, S., & Goyani, M. M. (2022) · Neural Processing Letters · doi:10.1007/s11063-022-11072-5 · Cited by 18

WIANet: A Wavelet-Inspired Attention-Based Convolution Neural Network for Land Cover Classification

Singh, A. K., & Bruzzone, L. (2022) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2022.3232224 · Cited by 16

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation

Ngo, B. H., Chae, Y. J., Park, J. H., Kim, J. H., & Cho, S. I. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3235886 · Cited by 18

On image search in histopathology

Tizhoosh, H. R., & Pantanowitz, L. (2024) · Journal of Pathology Informatics · doi:10.1016/j.jpi.2024.100375 · Cited by 18

Self-supervised in-domain representation learning for remote sensing image scene classification

Ghanbarzadeh, A., & Soleimani, H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37962 · Cited by 24

Adaptive Mixture-of-Experts Distillation for Cross-Satellite Generalizable Incremental Remote Sensing Scene Classification

Fu, Y., Yang, R., Liu, Z., & Ng, M. K. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3598274 · Cited by 19

Enhanced Interactive Remote Sensing Image Retrieval with Scene Classification Convolutional Neural Networks Model

Boualleg, Y., & Farah, M. (2018) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2018.8518388 · Cited by 16

Query-Adaptive Remote Sensing Image Retrieval Based on Image Rank Similarity and Image-to-Query Class Similarity

Ye, F., Zhao, X., Luo, W., Li, D., & Min, W. (2020) · IEEE Access · doi:10.1109/access.2020.3004360 · Cited by 16

Rotation-aware representation learning for remote sensing image retrieval

Wu, Z., Zou, C., Wang, Y., Tan, M., & Weise, T. (2021) · Information Sciences · doi:10.1016/j.ins.2021.04.078 · Cited by 16

Remote Sensing Image Scene Classification with Self-Supervised Learning Based on Partially Unlabeled Datasets

Chen, X., Zhu, G., & Liu, M. (2022) · Remote Sensing · doi:10.3390/rs14225838 · Cited by 16

TPENAS: A Two-Phase Evolutionary Neural Architecture Search for Remote Sensing Image Classification

Ao, L., Feng, K., Sheng, K., Zhao, H., He, X., & Chen, Z. (2023) · Remote Sensing · doi:10.3390/rs15082212 · Cited by 16

Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics

Hurt, J. A., Scott, G. J., Anderson, D. T., & Davis, C. H. (2018) · IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr.2018.8707433 · Cited by 16

Regression Tree CNN for Estimation of Ground Sampling Distance Based on Floating-Point Representation

Lee, J.-H., & Sull, S. (2019) · Remote Sensing · doi:10.3390/rs11192276 · Cited by 15

Extracting feature fusion and co-saliency clusters using transfer learning techniques for improving remote sensing scene classification

Aljabri, A. A., Alshanqiti, A. M., Alkhodre, A. B., Alzahem, A., & Hagag, A. (2022) · Optik · doi:10.1016/j.ijleo.2022.170408 · Cited by 15

Dynamic Loss Reweighting Method Based on Cumulative Classification Scores for Long-Tailed Remote Sensing Image Classification

Liu, J., Feng, R., Chen, P., Wang, X., & Ni, Y. (2023) · Remote Sensing · doi:10.3390/rs15020394 · Cited by 16

OSAP‐Loss: Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval

Yuan, X., Xu, X., Wang, X., Zhang, K., Liao, L., Wang, Z., & Lin, C. (2023) · CAAI Transactions on Intelligence Technology · doi:10.1049/cit2.12151 · Cited by 15

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

Dimitrovski, I., Kitanovski, I., Panov, P., Kostovska, A., Simidjievski, N., & Kocev, D. (2023) · Remote Sensing · doi:10.3390/rs15092343 · Cited by 18

Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models

Rengma, N. S., & Yadav, M. (2024) · Environmental Monitoring and Assessment · doi:10.1007/s10661-024-12719-7 · Cited by 19

A REVIEW OF BENCHMARKING IN PHOTOGRAMMETRY AND REMOTE SENSING

Bakuła, K., Mills, J. P., & Fabio Remondino, A. (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-1-w2-1-2019 · Cited by 15

A Deep Neural Network Combined With Context Features for Remote Sensing Scene Classification

Deng, P., Huang, H. B., & Xu, K. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2020.3016769 · Cited by 16

Global-Aware Ranking Deep Metric Learning for Remote Sensing Image Retrieval

Zhao, H., Lin, Y., Zhao, H., & Wang, Z. (2021) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2021.3059908 · Cited by 15

Attention-Driven Graph Convolution Network for Remote Sensing Image Retrieval

Chaudhuri, U., Banerjee, B., Bhattacharya, A., & Datcu, M. P. (2021) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2021.3105448 · Cited by 15

Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels

Li, Q., Chen, Y., & Ghamisi, P. (2021) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2021.3112960 · Cited by 15

Open-ended remote sensing visual question answering with transformers

Al Rahhal, M. M., Bazi, Y., Alsaleh, S. O., Al-Razgan, M., Mekhalfi, M. L., Al Zuair, M., & Alajlan, N. (2022) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2145583 · Cited by 15

DiRS: On Creating Benchmark Datasets for Remote Sensing Image InterpretationPreprint

Long, Y., Xia, G.-S., Li, S., Wen, Y., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2020) · arXiv (Cornell University) · Cited by 15

Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising

Qi, H., Tan, S.-L., & Li, Z. (2022) · Remote Sensing · doi:10.3390/rs14246300 · Cited by 14

Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification

Shang, J., Niu, C., Zhou, W., Zhou, Z., & Yang, J. (2023) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3326782 · Cited by 14

Mapping of Land Use and Land Cover (LULC) Using EuroSAT and Transfer Learning

Kunwar, S., & Ferdush, J. (2024) · Revue internationale de géomatique · doi:10.32604/rig.2023.047627 · Cited by 21

Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture

Shaar, F., Yılmaz, A., Topcu, A. E., & Alzoubi, Y. I. (2024) · Applied Sciences · doi:10.3390/app14062639 · Cited by 14

A Remote Sensing Image Super-Resolution Reconstruction Model Combining Multiple Attention Mechanisms

Xu, Y., Guo, T., & Wang, C. (2024) · Sensors · doi:10.3390/s24144492 · Cited by 14

Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance

Arrabi, A., Zhang, X., Sultani, W., Chen, C., & Wshah, S. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00523 · Cited by 15

Spectral Indexes Evaluation for Satellite Images Classification using CNN

Yaloveha, V., Hlavcheva, D., & Podorozhniak, A. (2021) · Journal of information and organizational sciences · doi:10.31341/jios.45.2.5 · Cited by 13

Data Customization-Based Multiobjective Optimization Pruning Framework for Remote Sensing Scene Classification

Hu, Z., Gong, M., Lu, Y., Li, J., Zhao, Y., & Zhang, M. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3320650 · Cited by 14

Scene classification of high-resolution remote sensing images based on IMFNet

Zhang, X., Wang, Y., Zhang, N., Xu, D., Chen, B., Ben, G., & Wang, X. (2019) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.13.048505 · Cited by 14

Remote-sensing image retrieval with tree-triplet-classification networks

Liu, Y., Liu, Y., Chen, C., & Ding, L. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.04.038 · Cited by 17

A multi-level feature fusion method based on pooling and similarity for HRRS image retrieval

Ge, Y., Yang, Z., Huang, Z., & Ye, F. (2021) · Remote Sensing Letters · doi:10.1080/2150704x.2021.1966119 · Cited by 14

Siamese transformer network-based similarity metric learning for cross-source remote sensing image retrieval

Ding, C., Wang, M., Zhou, Z., Huang, T. H., Wang, X., & Li, J. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-08092-6 · Cited by 13

Review of Zero-Shot Remote Sensing Image Scene Classification

Tan, X., Xi, B., Li, J., Zheng, T., Li, Y., Xue, C., & Chanussot, J. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3410995 · Cited by 14

CITYWIDE ESTIMATION OF PARKING SPACE USING AERIAL IMAGERY AND OSM DATA FUSION WITH DEEP LEARNING AND FINE-GRAINED ANNOTATION

Henry, C., Hellekes, J., Merkle, N., Azimi, S. M., & Kurz, F. (2021) · 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-b2-2021-479-2021 · Cited by 13

DGFNet: Dual Gate Fusion Network for Land Cover Classification in Very High-Resolution Images

Guo, Y., Wang, F., Xiang, Y., & You, H. (2021) · Remote Sensing · doi:10.3390/rs13183755 · Cited by 13

Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification

Ma, S., Liu, C., Li, Z., & Yang, W. L. (2022) · Remote Sensing · doi:10.3390/rs14184533 · Cited by 13

Adaptive-Attention Completing Network for Remote Sensing Image

Huang, W., Deng, Y., Hui, S., & Wang, J. (2023) · Remote Sensing · doi:10.3390/rs15051321 · Cited by 13

From Pixel to Peril: Investigating Adversarial Attacks on Aerial Imagery Through Comprehensive Review and Prospective Trajectories

Kazmi, S. M. K. A., Aafaq, N., Khan, M. A., Khalil, M., & Saleem, A. (2023) · IEEE Access · doi:10.1109/access.2023.3299878 · Cited by 13

Toward Multilabel Image Retrieval for Remote Sensing

Imbriaco, R., Sebastian, C., Bondarev, E., & de With, P. H. N. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3095957 · Cited by 14

A literature review on remote sensing scene categorization based on convolutional neural networks

Kaul, A., & Kumari, M. (2023) · International Journal of Remote Sensing · doi:10.1080/01431161.2023.2204200 · Cited by 12

Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification

Khoury, K. E., Zanella, M., Gérin, B., Godelaine, T., Macq, B. M. M., Mahmoudi, S., Vleeschouwer, C. D., & Ayed, I. B. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888395 · Cited by 15

Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few-Shot Remote Sensing Scene Classification

Zhou, H., Du, X., & Li, S. (2022) · Remote Sensing · doi:10.3390/rs14133111 · Cited by 12

Unifying Top–Down Views by Task-Specific Domain Adaptation

Lin, J., Yu, T., Mou, L., Zhu, X. X., Ward, R. K., & Wang, Z. J. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3022608 · Cited by 12

Explainable Custom CNN Architecture for Land Use Classification using Satellite Images

Verma, M., Gupta, N., Tolani, B., & Kaushal, R. (2021) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip53038.2021.9702698 · Cited by 12

Zero-Shot Sketch-Based Remote-Sensing Image Retrieval Based on Multi-Level and Attention-Guided Tokenization

Yang, B., Wang, C., Ma, X., Song, B., Liu, Z., & Sun, F. (2024) · Remote Sensing · doi:10.3390/rs16101653 · Cited by 12

Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity

An, X., He, W. P., Zou, J., Yang, G., & Zhang, H. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3469568 · Cited by 18

Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery

Lunga, D., Dhamdhere, R., Walters, S., Bragg, L., Makkar, N., & Urban, M. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2020.3022328 · Cited by 11

Generative Adversarial Network with Residual Dense Generator for Remote Sensing Image Super Resolution

Sustika, R., Suksmono, A. B., Danudirdjo, D., & Wikantika, K. (2020) · International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) · doi:10.1109/icramet51080.2020.9298648 · Cited by 11

Learnable dynamic margin in deep metric learning

Wang, Y., Liu, P., Lang, Y., Zhou, Q., & Xue, S. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108961 · Cited by 12

EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification

Bai, Y., Shao, S., Zhao, S., Liu, W., Tao, D., & Liu, B. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3367349 · Cited by 11

Efficient Satellite Image Retrieval Using Shearlet Transforms and Spiking Neurons-Based Liquid Autoencoder Model

Kasetty, S. B., & Rajakumar, K. (2025) · IEEE Access · doi:10.1109/access.2025.3586866 · Cited by 10

Enhancing multi-class skin lesion diagnosis through ensemble learning of CNN and transformer architectures

Erbay, H., Abulgasim, Y. M., Özer, D. E., & Ertürk, F. (2025) · Engineering Science and Technology an International Journal · doi:10.1016/j.jestch.2025.102145 · Cited by 14

Map of Land Cover Agreement: Ensambling Existing Datasets for Large-Scale Training Data Provision

Bratić, G., Oxoli, D., & Brovelli, M. A. (2023) · Remote Sensing · doi:10.3390/rs15153774 · Cited by 12

Remote Sensing Image Scene Classification using Dilated Convolutional Neural Networks

Deepan, P. (2020) · International Journal of Emerging Trends in Engineering Research · doi:10.30534/ijeter/2020/120872020 · Cited by 10

Classification of multi-spectral data with fine-tuning variants of representative models

Lakshmi, T. R. V., Reddy, C. V. K., Kora, P., Swaraja, K., Meenakshi, K., Kumari, C. U., & Reddy, L. P. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16291-z · Cited by 10

Remote Sensing Image Scene Classification

Hussain, M. A., & Dey, E. K. (2018) · International Journal of Engineering and Manufacturing · doi:10.5815/ijem.2018.04.02 · Cited by 10

Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery

Scott, G. J., Hurt, J. A., Marcum, R. A., Anderson, D. T., & Davis, C. H. (2018) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2018.8519300 · Cited by 10

Scene Graph-Aware Hierarchical Fusion Network for Remote Sensing Image Retrieval With Text Feedback

Wang, F., Zhu, X., Liu, X., Zhang, Y., & Li, Y. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3404605 · Cited by 10

Transforming Earth Observation: An Extensive Evaluation of Vision Transformers for Satellite Images‐Based Land Cover Classification

Khan, F. A. (2025) · Expert Systems · doi:10.1111/exsy.70082 · Cited by 9

Fine-Grained Interpretation of Remote Sensing Image: A Review

Wang, D., Yan, Z., & Liu, P. (2025) · Remote Sensing · doi:10.3390/rs17233887 · Cited by 9

Cross-dataset Learning for Generalizable Land Use Scene Classification

Gominski, D., Gouet-Brunet, V., & Chen, L. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00144 · Cited by 9

Image Inpainting with Bilateral Convolution

Huang, W., Deng, Y., Hui, S., & Wang, J. (2022) · Remote Sensing · doi:10.3390/rs14236140 · Cited by 9

Imaging Simulation and Learning-Based Image Restoration for Remote Sensing Time Delay and Integration Cameras

Li, M., Zhang, Z., Chen, S., Xu, Z., Li, Q., Feng, H., & Chen, Y. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3300549 · Cited by 9

A novel benchmark dataset of color steel sheds for remote sensing image retrieval

Hou, D., Wang, S., & Xing, H. (2021) · Earth Science Informatics · doi:10.1007/s12145-021-00593-7 · Cited by 9

Parking space inventory from above: Detection on aerial images and estimation for unobserved regions

Hellekes, J., Kehlbacher, A., Díaz, M. L., Merkle, N., Henry, C., Kurz, F., & Heinrichs, M. (2022) · IET Intelligent Transport Systems · doi:10.1049/itr2.12322 · Cited by 9

CRBeDaSet: A Benchmark Dataset for High Accuracy Close Range 3D Object Reconstruction

Gabara, G., & Sawicki, P. (2023) · Remote Sensing · doi:10.3390/rs15041116 · Cited by 9

A Novel Feature Fusion with Self-adaptive Weight Method Based on Deep Learning for Image Classification

Tian, Q., Wan, S., Jin, P., Xu, J., Zou, C., & Li, X. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00776-8_39 · Cited by 9

Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction AlgorithmsPreprint

Dabhi, S., Soni, K., Patel, U., Sharma, P., & Parmar, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.11021 · Cited by 9

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

Boguszewski, A., Batorski, D., Ziemba-Jankowska, N., Zambrzycka, A., & Dziedzic, T. (2020) · arXiv (Cornell University) · Cited by 9

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation

Su, X., Qiang, W., Hu, J., Zheng, C., Wu, F., & Sun, F. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02125-4 · Cited by 8

Composed Image Retrieval for Remote Sensing

Psomas, B., Kakogeorgiou, I., Efthymiadis, N., Tolias, G., Chum, O., Avrithis, Y., & Karantzalos, K. G. (2024) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss53475.2024.10642874 · Cited by 8

Heterogeneity-aware pruning framework for personalized federated learning in remote sensing scene classification

Hu, Z., Gong, M., Dong, Z., Lu, Y., Li, J., & Zhao, Y. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113007 · Cited by 8

Energy conserving cost selection for fine-grained computational offloading in mobile edge computing networks

Numani, A., Abbas, Z. H., Abbas, G., & Ali, Z. (2023) · Computer Communications · doi:10.1016/j.comcom.2023.11.012 · Cited by 8

BoVSG: bag of visual SubGraphs for remote sensing scene classification

Amiri, K., Farah, M., & Leloğlu, U. M. (2019) · International Journal of Remote Sensing · doi:10.1080/01431161.2019.1681602 · Cited by 8

Adaptive Multi-Proxy for Remote Sensing Image Retrieval

Li, X., Song, W., Wang, J., Du, Y., & Ge, M. (2022) · Remote Sensing · doi:10.3390/rs14215615 · Cited by 9

A New Remote Sensing Image Retrieval Method Based on CNN and YOLO

Xin, J. X. J., Xin, F. Y. J., Ye, Y. X. F., Xia, Y. L. Y., & Luo, X. C. Y. (2023) · 網際網路技術學刊 · doi:10.53106/160792642023032402002 · Cited by 8

Aircraft Detection from Remote Sensing Image Based on A Weakly Supervised Attention Model

Ji, J., Zhang, T., Yang, Z., Jiang, L., Zhong, W., & Xiong, H. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8899864 · Cited by 8

An effective weight initialization method for deep learning: Application to satellite image classification

Boulila, W., Alshanqiti, E., Alzahem, A., Koubâa, A., & Mlaiki, N. M. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124344 · Cited by 7

Enhancing Remote Sensing Scene Classification With Hy-MSDA: A Hybrid CNN–Transformer for Multisource Domain Adaptation

Xü, K., Zhu, Z., Wang, W., Fan, C., Wu, B., & Jia, Z. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3516522 · Cited by 7

Prompt-Integrated Adversarial Unsupervised Domain Adaptation for Scene Recognition

Yu, Y., Wang, S., & Fu, Z. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3531424 · Cited by 7

FAcupoint: The first dense facial acupoint localization dataset and baselines

Zhang, T., Liu, C., Zhou, J., Yang, H., & Lin, Y. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126683 · Cited by 8

Generalized domain prompt learning for accessible scientific vision-language models

Cao, Q., Chen, Y., Lu, L., Sun, H., Zeng, Z., Yang, X., & Zhang, D. (2025) · Nexus · doi:10.1016/j.ynexs.2025.100069 · Cited by 7

CLIP-MoA: Visual-Language Models With Mixture of Adapters for Multitask Remote Sensing Image Classification

Fu, Z., Yan, H., & Ding, K. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3565552 · Cited by 11

Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification

Deng, D., & Yao, P. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3590590 · Cited by 10

Are vision transformers replacing convolutional neural networks in scene interpretation?: A review

Rosy, N. A., Balasubadra, K., & Deepa, K. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07574-1 · Cited by 7

Geographic Scene Understanding of High-Spatial-Resolution Remote Sensing Images: Methodological Trends and Current Challenges

Ye, P., Liu, G., & Huang, Y. (2022) · Applied Sciences · doi:10.3390/app12126000 · Cited by 8

Deep Semantic Feature Reduction for Efficient Remote Sensing Image Retrieval

Yelchuri, R., Khadidos, A. O., Khadidos, A. O., Alshareef, A. M., Swain, G., & Dash, J. K. (2023) · IEEE Access · doi:10.1109/access.2023.3324133 · Cited by 7

Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution

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