Unsupervised Spectral–Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification C Tao, H Pan, Y Li, Z Zou IEEE Geoscience and Remote Sensing Letters 12 (12), 2438-2442, 2015 | 452 | 2015 |
Large-scale remote sensing image retrieval by deep hashing neural networks Y Li, Y Zhang, X Huang, H Zhu, J Ma IEEE Transactions on Geoscience and Remote Sensing 56 (2), 950-965, 2018 | 274 | 2018 |
Unsupervised Ship Detection Based on Saliency and S-HOG Descriptor From Optical Satellite Images S Qi, J Ma, J Lin, Y Li, J Tian IEEE Geoscience and Remote Sensing Letters 12 (7), 1451-1455, 2015 | 215 | 2015 |
Image retrieval from remote sensing big data: A survey Y Li, J Ma, Y Zhang Information Fusion 67, 94-115, 2021 | 208 | 2021 |
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 | 188 | 2020 |
Exploring the interactive coercing relationship between urbanization and ecosystem service value in the Shanghai–Hangzhou Bay Metropolitan Region R Xiao, M Lin, X Fei, Y Li, Z Zhang, Q Meng Journal of Cleaner Production 253, 119803, 2020 | 185 | 2020 |
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation Y Li, T Shi, Y Zhang, W Chen, Z Wang, H Li ISPRS Journal of Photogrammetry and Remote Sensing 175, 20-33, 2021 | 175 | 2021 |
Learning source-invariant deep hashing convolutional neural networks for cross-source remote sensing image retrieval Y Li, Y Zhang, X Huang, J Ma IEEE Transactions on Geoscience and Remote Sensing 56 (11), 6521-6536, 2018 | 175 | 2018 |
A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection Y Gu, Y Wang, Y Li Applied Sciences 9 (10), 2110, 2019 | 156 | 2019 |
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 |
Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration J Ma, J Jiang, C Liu, Y Li Information Sciences 417, 128-142, 2017 | 152 | 2017 |
Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images Y Li, Y Zhang, X Huang, AL Yuille ISPRS Journal of Photogrammetry and Remote Sensing 146, 182-196, 2018 | 151 | 2018 |
Infrared Small Target Detection via Low-Rank Tensor Completion With Top-Hat Regularization H Zhu, S Liu, L Deng, Y Li, F Xiao IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1004-1016, 2019 | 136 | 2019 |
Error-tolerant deep learning for remote sensing image scene classification Y Li, Y Zhang, Z Zhu IEEE transactions on cybernetics 51 (4), 1756-1768, 2020 | 130 | 2020 |
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 |
Spatial information inference net: Road extraction using road-specific contextual information C Tao, J Qi, Y Li, H Wang, H Li ISPRS Journal of Photogrammetry and Remote Sensing 158, 155-166, 2019 | 112 | 2019 |
Robust infrared small target detection using local steering kernel reconstruction Y Li, Y Zhang Pattern Recognition 77, 113-125, 2018 | 102 | 2018 |
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification Y Li, Y Zhou, Y Zhang, L Zhong, J Wang, J Chen ISPRS Journal of Photogrammetry and Remote Sensing 186, 170-189, 2022 | 100 | 2022 |
Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection L Deng, H Zhu, Q Zhou, Y Li Multimedia Tools and Applications 77 (9), 10539-10551, 2018 | 95 | 2018 |
Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery X Guo, J Lao, B Dang, Y Zhang, L Yu, L Ru, L Zhong, Z Huang, K Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 93 | 2024 |