MOP1.PP.8
CANOPY AREA INDEX INVERSION OF RAPE CROP (BRASSICA NAPUS L.) USING RADARSAT-2 DATA
Hu Zhong, Shangrong Wu, State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China (the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences), China
Session:
MOP1.PP: Advanced Polarimetric SAR Methods and Applications Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Monday, 4 August, 14:15 - 15:45
Session Chair:
Ryoichi Sato, Nigata University
Presentation
Discussion
Resources
No resources available.
Session MOP1.PP
MOP1.PP.1: POLSAR CHANGE DETECTION BASED ON SUPERPIXEL SEGMENTATION AND POLARIMETRIC DECOMPOSITION
Nengcai Li, Deliang Xiang, Huaiyue Ding, Beijing University of Chemical Technology, China; Jianda Cheng, Linyi University, China; Yi Su, National University of Defense Technology, China
MOP1.PP.2: Mitigating Radar Incidence Angle Impact on PolSAR Backscatter from Urban Targets with Large Azimuthal Orientation Angles
Yong Wang, Dingfeng Duan, University of Electronic Science and Technology of China, China
MOP1.PP.3: POWER-BASED POLSAR SHIP DETECTOR WITH THE SUB-LOOK DECOMPOSITION
Nishang Xie, Tao Zhang, Jin Ma, Shanghai Jiao Tong University, China; Zhen Yang, Jiangxi Science and Technology Normal University, China; Feiming Wei, Shanghai Jiao Tong University, China
MOP1.PP.4: Exploring Complex-Valued Convolutional Kolmogorov-Arnold Networks for PolSAR Image Classification
Zuzheng Kuang, Haixia Bi, Xi’an Jiaotong University, China; Chen Xu, Peng Cheng Laboratory, China
MOP1.PP.5: Automatic Geo-Localization of Polarimetric SAR Images with the Aid of Vector Data
Chen Wang, Xiaoshuang Ma, Beiping Song, Anhui University, China
MOP1.PP.6: A NEW ENTROPY ESTIMATION METHOD FOR DUAL-POLARIMETRIC SAR DATA: COMPARATIVE ANALYSIS WITH QUAD- AND OTHER DUAL-POLARIZATION APPROACHES
Liting Liang, Yunhua Zhang, Dong Li, Xiao Dong, National Space Science Center, Chinese Academy of Sciences, China
MOP1.PP.7: Knapsack Problem-based Cycle Pseudo Labels Generation for PolSAR Image Classification
Yuwei Guo, Wei Zhan, Zhuangzhuang Sun, Yongshuai Huang, Wenhao Zhang, Xidian University, China
MOP1.PP.8: CANOPY AREA INDEX INVERSION OF RAPE CROP (BRASSICA NAPUS L.) USING RADARSAT-2 DATA
Hu Zhong, Shangrong Wu, State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China (the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences), China
MOP1.PP.9: POLSAR IMAGE SEGMENTATION BASED ON DUAL-FORMER DIFFUSION MODEL WITH BOUNDARY AND SEMANTIC INFORMATION
Nuo Chen, Wuhan University, China; Xingyu Pan, University of Nottingham Ningbo China, China; Xiaoxiao Fang, Wuhan University, China; Xinlong Liu, Chongqing Jiaotong University, China; Chu He, Wuhan University, China
MOP1.PP.10: DOP-Based Multifrequency Analysis for Ship Detection in SAR Imagery
Gaurav Kumar Dashondhi, Bennett University, India; Girjesh Dasaundhi, Indian Institute of Technology Bombay, India; Shakti Sharma, Mukund Pratap Singh, Yogesh Pal, Bennett University, India; Gulab Singh, Indian Institute of Technology Bombay, India
MOP1.PP.11: EPISODIC LEARNING FOR AIRBORNE POLSAR CROP CLASSIFICATION
Isabella Lee, John Trinder, Arcot Sowmya, The University of New South Wales, Australia; Qianqian Zhang, Shanghai Jiao Tong University, China
MOP1.PP.12: Tree Barrier Identification of Transmission Corridor Based on SAR Satellite Images
Zezhong Zheng, Yizuo Li, Shuang Yu, University of Electronic Science and Technology of China, China
Resources
No resources available.