2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

MO2.R15.8

POLSAR IMAGE CLASSIFICATION VIA COMPLEX-VALUED MULTI-SCALE CONVOLUTIONAL NEURAL NETWORK

Lamei Zhang, Siyu Zhang, Hongwei Dong, Harbin Institute of Technology, China; Da Lu, AVIC Leihua Electric Technology Research Institute, China
Session:
POLSAR / POLINSAR: Applications & Analysis
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Mon, 28 Sep, 15:40-15:50 (UTC)
Mon, 28 Sep, 23:40-23:50 China Standard Time (UTC +8)
Mon, 28 Sep, 17:40-17:50 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 08:40-08:50 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Tom Ainsworth, U.S. Naval Research Laboratory and Masanobu Shimada, University of Dendai
Session Managers:
Elena Ionescu and Diana Michelle Cruz Lainez

Presentation

Discussion

Resources

Session

MO2.R15.1: Four-component Decomposition Method of Polarimetric SAR Interferometry Using Refined Volume Scattering Models
Yu Wang, Weidong Yu, Chunle Wang, Xiuqing Liu, Institute of Electronics, Chinese Academy of Sciences, Germany
MO2.R15.2: EVALUATION OF α_s1 FOR BUILDING DAMAGE MAPPING BASED ON TOUZI DECOMPOSITION
Lei Pang, Fengli Zhang, Guojun Wang, Na Liu, Lu Li, Yun Shao, Aerospace Information Research Institute, Chinese Academy of Sciences, China
MO2.R15.3: X-BAND POLINSAR VEGETATION CANOPY HEIGHT INVERSION STRATEGY BASED ON FREQUENCY SEGMENTATION
Fanyi Tang, Xidian University, China; Jinwei Xie, Nanjing Research Institute of Electronic Technology, China; Zhiyong Suo, Han Li, Zhenfang Li, Xidian University, China
MO2.R15.4: Discussion on Building Orientation Estimation Using Polarimetric Synthetic Aperture Radar Data
Fang Shang, University of Electro-Communications, Japan
MO2.R15.5: MULTIPLICATIVE PROCESSING FOR POLARIMETRIC SAR INTERFEROMETRY
Dayalan Kasilingam, University of Massachusetts Dartmouth, United States
MO2.R15.6: A MODIFIED SIFT ALGORITHM FOR POLSAR IMAGE REGISTRATION
Hongmiao Wang, Tsinghua University, China; Jing Wang, Science and Technology on Information System Engineering Laboratory, China; Junjun Yin, University of Science and Technology Beijing, China; Jian Yang, Tsinghua University, China
MO2.R15.7: DEEP LEARNING BASED CLASSIFICATION USING SEMANTIC INFORMATION FOR POLSAR IMAGE
Lu Zhang, Xi’an University of Posts and Telecommunication, China; Wen Xie, Xi’an University of Posts and Telecommunications, China; Feng Zhao, Xi’an University of Posts and Telecommunication, China; Hanqiang Liu, Shaanxi Normal University, China; Yiping Duan, Tsinghua University, China
MO2.R15.8: POLSAR IMAGE CLASSIFICATION VIA COMPLEX-VALUED MULTI-SCALE CONVOLUTIONAL NEURAL NETWORK
Lamei Zhang, Siyu Zhang, Hongwei Dong, Harbin Institute of Technology, China; Da Lu, AVIC Leihua Electric Technology Research Institute, China
MO2.R15.9: COMPARISON STUDY OF MULTITEMPORAL POLSAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
Chen-Song Tao, Si-Wei Chen, Shun-Ping Xiao, National University of Defense Technology, China
MO2.R15.10: A NOVEL MODEL-BASED POLARIMETRIC SAR DATA DECOMPOSITION APPROACH AND ITS APPLICATIONS
Zezhong Wang, Qiming Zeng, Peking University, China