TU3.P10.5
FIVE-COMPONENT SCATTERING POWER DECOMPOSITION FOR POLSAR DATA BY USING ORIENTED AND RANDOM DIHEDRAL COMPONENTS
Chino Kobayashi, Hiroyoshi Yamada, Ryoichi Sato, Niigata University, Japan
Session:
TU3.P10: PolSAR and PolInSAR I Oral
Track:
SAR Imaging and Processing Techniques
Location:
Plaza: Room P10
Presentation Time:
Tuesday, 5 August, 14:15 - 14:30
Session Co-Chairs:
Avik Bhattacharya, Indian Institute of Technology Bombay and Fang Shang, University of Electro-Communications
Session TU3.P10
TU3.P10.1: DUCAT: Dual-pol Unsupervised Clustering and Analysis Technique
Abhinav Verma, Avik Bhattacharya, Indian Institute of Technology Bombay, India; Paolo Gamba, CNIT, Research Unit of the University of Pavia, Italy
TU3.P10.2: Model-Based Polarimetric SAR Target Decomposition: A Scheme to Introduce Repeat-Pass PolInSAR Coherence
Di Zhuang, Lamei Zhang, Bin Zou, Harbin Institute of Technology, China
TU3.P10.3: Polarimetric SAR Classification Using Muti-Polarimetric Features Based on Two Branch CNN
Shuaiying Zhang, Zhen Dong, National University of Defense Technology, China; Yue Zhang, Ocean University of China, China; Huadong Lin, Ministry of Natural Resources, China; Youjun Wang, National University of Defense Technology, China; Yarong Zou, Wentao An, National Satellite Ocean Application Service, China
TU3.P10.4: Low-Height Forest Height Inversion Using Improved PolInSAR Best Normal Matrix Approximation and Iteration Method
Xian Shi, Shandong University of Science and Technology, China; Lijun Lu, Guoman Huang, Chinese Academy of Surveying and Mapping, China
TU3.P10.5: FIVE-COMPONENT SCATTERING POWER DECOMPOSITION FOR POLSAR DATA BY USING ORIENTED AND RANDOM DIHEDRAL COMPONENTS
Chino Kobayashi, Hiroyoshi Yamada, Ryoichi Sato, Niigata University, Japan
Resources