TH1.R5: Classification Methods for SAR Data

Thu, 1 Oct, 12:00 - 14:00 (UTC)
Thu, 1 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 1 Oct, 14:00 - 16:00 Central Europe Summer Time (UTC +2)
Thu, 1 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Mihai Datcu, German Aerospace Center (DLR) and Florence Tupin, Telecom ParisTech
Session Managers: John Agbo Ogbodo and Seif Ammar
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
12:00-12:10 (UTC)
20:00-20:10 (UTC +8)
14:00-14:10 (UTC +2)
05:00-05:10 (UTC -7)

TH1.R5.1: LAND COVER CLASSIFICATION FOR POLSAR IMAGES BASED ON MIXTURE MODELS AND MRF

Xiyun Liu, Junjun Yin, University of Science and Technology Beijing, China; Jihua Zhang, Shanghai Electro Mechanical Engineering Institute, China; Jian Yang, Tsinghua University, China
12:10-12:20 (UTC)
20:10-20:20 (UTC +8)
14:10-14:20 (UTC +2)
05:10-05:20 (UTC -7)

TH1.R5.2: SEMI-SUPERVISED CLASSIFICATION OF POLSAR DATA WITH MULTI-SCALE WEIGHTED GRAPH CONVOLUTIONAL NETWORK

Shijie Ren, Feng Zhou, Xidian University, China
12:20-12:30 (UTC)
20:20-20:30 (UTC +8)
14:20-14:30 (UTC +2)
05:20-05:30 (UTC -7)

TH1.R5.3: UNSUPERVISED LAND COVER CLASSIFICATION OF HYBRID POLSAR IMAGES USING DEEP NETWORK

Ankita Chatterjee, Jayasree Saha, Jayanta Mukhopadhyay, Subhas Aikat, Arundhati Misra, Indian Institute of Technology Kharagpur, India
12:30-12:40 (UTC)
20:30-20:40 (UTC +8)
14:30-14:40 (UTC +2)
05:30-05:40 (UTC -7)

TH1.R5.4: COMPLEX-VALUED SPATIAL-SCATTERING SEPARATED ATTENTION NETWORK FOR POLSAR IMAGE CLASSIFICATION

Zhaohao Fan, Zexuan Ji, Peng Fu, Tao Wang, Xiaobo Shen, Quansen Sun, Nanjing University of Science and Technology, China
12:40-12:50 (UTC)
20:40-20:50 (UTC +8)
14:40-14:50 (UTC +2)
05:40-05:50 (UTC -7)

TH1.R5.5: A HYBRID AND EXPLAINABLE DEEP LEARNING FRAMEWORK FOR SAR IMAGES

Zhongling Huang, Chinese Academy of Sciences, China; Mihai Datcu, German Aerospace Center, Germany; Zongxu Pan, Bin Lei, Chinese Academy of Sciences, China
12:50-13:00 (UTC)
20:50-21:00 (UTC +8)
14:50-15:00 (UTC +2)
05:50-06:00 (UTC -7)

TH1.R5.6: POLSAR SCENE CLASSIFICATION VIA LOW-RANK TENSOR-BASED MULTI-VIEW SUBSPACE REPRESENTATION

Mengqian Chen, Bo Ren, Biao Hou, Xidian University, China; Jocelyn Chanussot, University Grenoble Alpes, France; Shuang Wang, Xiangrong Zhang, Xidian University, China; Wen Xie, Xi'an University of Posts and Telecommunications, China
13:00-13:10 (UTC)
21:00-21:10 (UTC +8)
15:00-15:10 (UTC +2)
06:00-06:10 (UTC -7)

TH1.R5.7: POLSAR IMAGE CLASSIFICATION BASED ON OPTIMAL FEATURE AND CONVOLUTION NEURAL NETWORK

Ping Han, Zetao Chen, Yishuang Wan, Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, China; Zheng Cheng, Civil Aviation University of China, China
13:10-13:20 (UTC)
21:10-21:20 (UTC +8)
15:10-15:20 (UTC +2)
06:10-06:20 (UTC -7)

TH1.R5.8: ASSESSING FOREST/NON-FOREST SEPARABILITY USING SENTINEL-1 C-BAND SAR

Johannes N. Hansen, Edward T. A. Mitchard, Stuart King, University of Edinburgh, United Kingdom
13:20-13:30 (UTC)
21:20-21:30 (UTC +8)
15:20-15:30 (UTC +2)
06:20-06:30 (UTC -7)

TH1.R5.9: LEARNING RELATION BY GRAPH NEURAL NETWORK FOR SAR IMAGE FEW-SHOT LEARNING

Rui Yang, Xin Xu, Xirong Li, Lei Wang, Fangling Pu, Wuhan University, China
13:30-13:40 (UTC)
21:30-21:40 (UTC +8)
15:30-15:40 (UTC +2)
06:30-06:40 (UTC -7)

TH1.R5.10: A NEURAL NETWORK APPROACH TO CLASSIFY MIXED CLASSES USING MULTI FREQUENCY SAR DATA

Anjana Kukunuri, Deepak Murugan, Dharmendra Singh, Indian Institute of Technology Roorkee, India
13:40-13:50 (UTC)
21:40-21:50 (UTC +8)
15:40-15:50 (UTC +2)
06:40-06:50 (UTC -7)

TH1.R5.11: STACKED RANDOM FORESTS: MORE ACCURATE AND BETTER CALIBRATED

Ronny Hänsch, German Aerospace Center (DLR), Germany
13:50-14:00 (UTC)
21:50-22:00 (UTC +8)
15:50-16:00 (UTC +2)
06:50-07:00 (UTC -7)

TH1.R5.12: MULTI-VIEW CNN-LSTM NEURAL NETWORK FOR SAR AUTOMATIC TARGET RECOGNITION

Chenwei Wang, Jifang Pei, Zhiyong Wang, Yuling Huang, Jianyu Yang, UESTC, China