Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning Y Li, W Chen, Y Zhang, C Tao, R Xiao, Y Tan Remote Sensing of Environment 250, 112045, 2020 | 187 | 2020 |
Unsupervised multilayer feature learning for satellite image scene classification Y Li, C Tao, Y Tan, K Shang, J Tian IEEE Geoscience and Remote Sensing Letters 13 (2), 157-161, 2016 | 154 | 2016 |
Airport detection from large IKONOS images using clustered SIFT keypoints and region information C Tao, Y Tan, H Cai, J Tian IEEE Geoscience and Remote Sensing Letters 8 (1), 128-132, 2010 | 154 | 2010 |
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification Y Li, D Kong, Y Zhang, Y Tan, L Chen ISPRS Journal of Photogrammetry and Remote Sensing 179, 145-158, 2021 | 120 | 2021 |
Optimize TSK fuzzy systems for regression problems: Minibatch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) D Wu, Y Yuan, J Huang, Y Tan IEEE Transactions on Fuzzy Systems 28 (5), 1003-1015, 2019 | 113 | 2019 |
Efficient multi-input/multi-output VLSI architecture for two-dimensional lifting-based discrete wavelet transform X Tian, L Wu, YH Tan, JW Tian IEEE transactions on computers 60 (8), 1207-1211, 2010 | 97 | 2010 |
A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences Y Li, Y Zhang, JG Yu, Y Tan, J Tian, J Ma information sciences 369, 548-563, 2016 | 81 | 2016 |
Maximal entropy random walk for region-based visual saliency JG Yu, J Zhao, J Tian, Y Tan IEEE transactions on cybernetics 44 (9), 1661-1672, 2013 | 71 | 2013 |
Unsupervised detection of built-up areas from multiple high-resolution remote sensing images C Tao, Y Tan, Z Zou, J Tian IEEE Geoscience and Remote Sensing Letters 10 (6), 1300-1304, 2013 | 63 | 2013 |
Object-oriented method of hierarchical urban building extraction from high-resolution remote-sensing imagery C Tao, Y Tan, H Cai, DU Bo, J Tian Acta Geodaetica et Cartographica Sinica 39 (1), 39-45, 2010 | 61 | 2010 |
Automatic extraction of built-up areas from panchromatic and multispectral remote sensing images using double-stream deep convolutional neural networks Y Tan, S Xiong, Y Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 54 | 2018 |
Aircraft detection in high-resolution SAR images based on a gradient textural saliency map Y Tan, Q Li, Y Li, J Tian Sensors 15 (9), 23071-23094, 2015 | 54 | 2015 |
An automatic analog instrument reading system using computer vision and inspection robot J Huang, J Wang, Y Tan, D Wu, Y Cao IEEE Transactions on Instrumentation and Measurement 69 (9), 6322-6335, 2020 | 49 | 2020 |
Few-shot transfer learning for SAR image classification without extra SAR samples Y Tai, Y Tan, S Xiong, Z Sun, J Tian IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 48 | 2022 |
Cauchy graph embedding optimization for built-up areas detection from high-resolution remote sensing images Y Li, Y Tan, J Deng, Q Wen, J Tian IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 46 | 2015 |
Accurate dynamic scene model for moving object detection H Yang, Y Tan, J Tian, J Liu 2007 IEEE International Conference on Image Processing 6, VI-157-VI-160, 2007 | 42 | 2007 |
Multi-branch convolutional neural network for built-up area extraction from remote sensing image Y Tan, S Xiong, P Yan Neurocomputing 396, 358-374, 2020 | 33 | 2020 |
Kernel regression in mixed feature spaces for spatio-temporal saliency detection Y Li, Y Tan, JG Yu, S Qi, J Tian Computer Vision and Image Understanding 135, 126-140, 2015 | 27 | 2015 |
Built-up area detection from satellite images using multikernel learning, multifield integrating, and multihypothesis voting Y Li, Y Tan, Y Li, S Qi, J Tian IEEE Geoscience and Remote Sensing Letters 12 (6), 1190-1194, 2015 | 27 | 2015 |
Skysensegpt: A fine-grained instruction tuning dataset and model for remote sensing vision-language understanding J Luo, Z Pang, Y Zhang, T Wang, L Wang, B Dang, J Lao, J Wang, J Chen, ... arXiv preprint arXiv:2406.10100, 2024 | 24 | 2024 |