MO3.P11.4
A DEM Extraction Method Incorporating Scattering Characteristics for Multiaspect SAR
Chaobao Yan, Lijia Huang, Siyang You, Fei Teng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
MO3.P11: Feature Extraction and Reduction I Oral
Track:
Data Analysis
Location:
Room P11
Presentation Time:
Monday, 4 August, 13:45 - 14:00
Presentation
Discussion
Resources
No resources available.
Session MO3.P11
MO3.P11.1: Advancing Remote Sensing for Health Monitoring: A Novel Framework for Precise Vital Sign Detection via IR-UWB Radar
Yizhu Wang, Jing Liang, University of Electronic Science and Technology of China, China
MO3.P11.2: Tree Micro-Motion Characteristic Extraction Algorithm and Data Validation in Centimeter-level Microwave Photonic SAR Data
Yu Hai, Zicheng Jiang, Zhongyu Li, Haoyu Wang, Junjie Wu, University of Electronic Science and Technology of China, China; Ruoming Li, Chinese Academy of Sciences Aerospace Information Research Institute, China
MO3.P11.3: A Statistical Feature-Driven Complex Domain Recurrent Residual Neural Networks for Corner Interference Mitigation
Zhaoxin Guo, Harbin Institute of Technology, China; Lianwei Huang, Zhejiang Normal University, China; Yun Zhang, Qinglong Hua, Shuojia Feng, Harbin Institute of Technology, China
MO3.P11.4: A DEM Extraction Method Incorporating Scattering Characteristics for Multiaspect SAR
Chaobao Yan, Lijia Huang, Siyang You, Fei Teng, Aerospace Information Research Institute, Chinese Academy of Sciences, China
MO3.P11.5: Research on the Application of Intelligent Extraction of Wind Turbines in Satellite Remote Sensing Images Based on YOLO-World
Wei Zhang, [1] Land Satellite Remote Sensing Application Center, MNR; [2] China University of Geosciences Beijing, China, China; Lijuan Zheng, Land Satellite Remote Sensing Application Center, MNR, China; Guoqing Yao, China University of Geosciences Beijing, China, China; Ping Ai, Guanghui Wang, Land Satellite Remote Sensing Application Center, MNR, China; Hailun Dai, [1]Land Satellite Remote Sensing Application Center, MNR;[2]Beijing Satlmage Information Technology Co., Ltd., Beijing, China
Resources
No resources available.