标题/作者	年份
Deep learning in remote sensing applications: A meta-analysis and review L Ma, Y Liu, X Zhang, Y Ye, G Yin, BA Johnson ISPRS journal of photogrammetry and remote sensing 152, 166-177	2019
Object detection in optical remote sensing images: A survey and a new benchmark K Li, G Wan, G Cheng, L Meng, J Han ISPRS journal of photogrammetry and remote sensing 159, 296-307	2020
A spatial-temporal attention-based method and a new dataset for remote sensing image change detection H Chen, Z Shi Remote Sensing 12 (10), 1662	2020
Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities G Cheng, X Xie, J Han, L Guo, GS Xia IEEE Journal of Selected Topics in Applied Earth Observations and Remote …	2020
Learning rotation-invariant and fisher discriminative convolutional neural networks for object detection G Cheng, J Han, P Zhou, D Xu IEEE Transactions on Image Processing 28 (1), 265-278	2018
A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection Q Shi, M Liu, S Li, X Liu, F Wang, L Zhang IEEE transactions on geoscience and remote sensing 60, 1-16	2021
Exploring hierarchical convolutional features for hyperspectral image classification G Cheng, Z Li, J Han, X Yao, L Guo IEEE Transactions on Geoscience and Remote Sensing 56 (11), 6712-6722	2018
Remote sensing scene classification using multilayer stacked covariance pooling N He, L Fang, S Li, A Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6899-6910	2018
Learning compact and discriminative stacked autoencoder for hyperspectral image classification P Zhou, J Han, G Cheng, B Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4823-4833	2019
Medical image fusion method by deep learning Y Li, J Zhao, Z Lv, J Li International Journal of Cognitive Computing in Engineering 2, 21-29	2021
A survey on deep learning in medicine: Why, how and when? F Piccialli, V Di Somma, F Giampaolo, S Cuomo, G Fortino Information Fusion 66, 111-137	2021
Vision transformers for remote sensing image classification Y Bazi, L Bashmal, MMA Rahhal, RA Dayil, NA Ajlan Remote Sensing 13 (3), 516	2021
Scale-free convolutional neural network for remote sensing scene classification J Xie, N He, L Fang, A Plaza IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6916-6928	2019
Nonlocal patch tensor sparse representation for hyperspectral image super-resolution Y Xu, Z Wu, J Chanussot, Z Wei IEEE Transactions on Image Processing 28 (6), 3034-3047	2019
Deep learning meets SAR: Concepts, models, pitfalls, and perspectives XX Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler IEEE Geoscience and Remote Sensing Magazine 9 (4), 143-172	2021
Skip-connected covariance network for remote sensing scene classification N He, L Fang, S Li, J Plaza, A Plaza IEEE transactions on neural networks and learning systems 31 (5), 1461-1474	2019
Self-attention for raw optical satellite time series classification M Rußwurm, M Körner ISPRS journal of photogrammetry and remote sensing 169, 421-435	2020
Siamese convolutional neural networks for remote sensing scene classification X Liu, Y Zhou, J Zhao, R Yao, B Liu, Y Zheng IEEE Geoscience and Remote Sensing Letters 16 (8), 1200-1204	2019
A feature aggregation convolutional neural network for remote sensing scene classification X Lu, H Sun, X Zheng IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7894-7906	2019
Active transfer learning network: A unified deep joint spectral–spatial feature learning model for hyperspectral image classification C Deng, Y Xue, X Liu, C Li, D Tao IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1741-1754	2018

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