1.遥感大数据与深度学习
2.环境遥感时空应用分析
(1) Semantic Segmentation of Satellite Images: A Deep Learning Approach Integrated with Geospatial Hash Codes.Remote Sens..2021,13(14) :2723
(2) GeoBoost: An Incremental Deep Learning Approach toward Global Mapping of Buildings from VHR Remote Sensing Images.Remote Sens..2020,12.11 :1794
(3) Accelerating the Training Process of Convolutional Neural Networks for Image Classification by Dropping Training Samples Out.IEEE Access.2020,8 :142393-142403
(4) Dropband: A simple and effective method for promoting the scene classification accuracy of convolutional neural networks for VHR remote sensing imagery.IEEE Geoscience and Remote Sensing Letters.2018,15.2 :257- 261
1. 主要成员,卷积神经网络的遥感图像时空元数据嵌入方法及应用研究, 2019/07/21, 国家自然科学基金资助项目
2. 主持,基于深度神经网络的高分辨率遥感图像分类模型快速训练方法研究, 2019/05/01, 北京市重点实验室开放课题
3. 参与,特大灾害空天地一体化协同监测应急响应关键技术研究及示, 2017/07/21, 国家重点研发计划地球观测与导航重点专项项目
1. 北京师范大学第六届多媒体教学设计比赛二等奖(网络课程组)
1. 遥感图像深度学习解译实践
2. 遥感图像深度学习解译实践
3. 遥感图像深度学习解译实践