沈煜,南京林业大学信息科学技术学院、人工智能学院。本科毕业于南京理工大学,博士于自然资源部第二海洋研究所和南京理工大学联培,2019-2020年赴美国北卡罗莱纳大学公派联合培养。主要从事遥感影像的智能分析处理研究,研究成果以第一作者身份在IEEE Transactions on Geoscience and Remote Sensing、ISPRS Journal of Photogrammetry and Remote Sensing等刊物上发表论文8篇。
沈煜
Email:shenyu01@njfu.edu.cn
办公电话:
研究领域:遥感影像分析,深度学习,计算机视觉
职务:
系科:计算机科学与技术
[1] Yu Shen, J. Chen, L. Xiao, D. Pan. Optimizing multiscale segmentation with local spectral heterogeneity measure for high resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. 2019, 159, 13-25.
[2] Yu Shen, C. Chen, L. Xiao, J. Chen. Efficient deep learning of nonlocal features for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing. 2021, 59(7), 6029-6043.
[3] Yu Shen, J. Chen, L. Xiao, D. Pan. BDANet: multiscale convolutional neural network with cross-directional attention for building damage assessment from satellite images. IEEE Transactions on Geoscience and Remote Sensing. 2021, 60.
[4] Yu Shen, J. Chen, L. Xiao, D. Pan. A bilevel contextual MRF model for supervised classification of high spatial resolution remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12, 5360-5372.