WE3.P10.2
MLC-net: A sparse reconstruction network for TomoSAR imaging based on multi-label classification neural network
Depeng Ouyang, Yueting Zhang, Jiayi Guo, Guangyao Zhou, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
WE3.P10: SAR Tomography for Buildings and Infrastructures I Oral
Track:
SAR Imaging and Processing Techniques
Location:
Room P10
Presentation Time:
Wednesday, 6 August, 13:30 - 13:45
Presentation
Discussion
Resources
No resources available.
Session WE3.P10
WE3.P10.1: Fine Array InSAR Point Cloud Processing Technology for URBAN DSM Modeling
Fangfang Ji, Capital Normal University, China; Lijun Lu, Guoman Huang, Chinese Academy of Surveying & Mapping, China; Jie Yu, Capital Normal University, China
WE3.P10.2: MLC-net: A sparse reconstruction network for TomoSAR imaging based on multi-label classification neural network
Depeng Ouyang, Yueting Zhang, Jiayi Guo, Guangyao Zhou, Aerospace Information Research Institute, Chinese Academy of Sciences, China
WE3.P10.3: A TV-CONSTRAINED ADMM FRAMEWORK FOR 3D SAR TOMOGRAPHY
Mou Wang, Jiangbo Hu, Hao Zhang, Xiang Cai, Shunjun Wei, Jun Shi, Xiaoling Zhang, University of Electronic Science and Technology of China, China
WE3.P10.4: PRELIMINARY RESULTS OF URBAN TOMOSAR BASED ON HONGTU-1 CONSTELLATION
Qianning Yuan, Xiaolan Qiu, Zekun Jiao, Chinese Academy of Sciences, China; Ke Wang, Suzhou Aerospace Information Research Institute, China; Chibiao Ding, Chinese Academy of Sciences, China
WE3.P10.5: A FULLY POLARIMETRIC SPARSE IMAGING ALGORITHM WITH POLARIMETRIC-EUCLIDEAN CONTEXTUAL PRIOR FOR ARTIFICIAL SCATTERERS.
SHUJIE SONG, Xiaolan Qiu, Zekun Jiao, National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, China
Resources
No resources available.