THP.P3.7

POLSAR IMAGE CLASSIFICATION USING ATTENTION BASED SHALLOW TO DEEP CONVOLUTIONAL NEURAL NETWORK

Mohammed Q. Alkhatib, Mina Al-Saad, Nour Aburaed, M. Sami Zitouni, Hussain Al-Ahmad, University of Dubai, United Arab Emirates
Session:
THP.P3: PolSAR and PolInSAR: Methods and Applications I Poster
Track:
SAR Imaging and Processing Techniques
Location:
Poster Area 3
Presentation Time:
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Co-Chairs:
Hiroyoshi Yamada, Niigata University and Arnando Marino, STIR U.
Session Managers:
HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha
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Session THP.P3
THP.P3.1: COMBINE SUPERPIXEL-WISE GCN AND PIXEL-WISE CNN FOR POLSAR IMAGE CLASSFICAITON
Haiyan Jin, Tiansheng He, Junfei Shi, Shanshan Ji, Xi'an University of Technology, China
THP.P3.2: POLSAR DESPECKLING NEURAL NETWORK BASED ON LOCAL TEXTURE FILTERS
YuFan Cai, Josaphat Tetuko Sri Sumantyo, Chiba University, Japan
THP.P3.4: ITERATIVE MULTISTAGE POLARIMETRIC SCATTERING DECOMPOSITION OF RADARSAT-2 AND ALOS-2 PALSAR-2 DATA
Ken Yoong Lee, National University of Singapore, Singapore; Yong Peng Ang, ST Engineering Geo-Insights Pte. Ltd., Singapore; Chenghua Shi, National University of Singapore, Singapore; Wahyu Wiratama, ST Engineering Geo-Insights Pte. Ltd., Singapore; Kim Hwa Lim, Soo Chin Liew, National University of Singapore, Singapore
THP.P3.5: POLSAR IMAGE CLASSIFICATION VIA TRANSFER LEARNING AND FULLY CONVOLUTIONAL NETWORK
Wen Xie, Hongyue Sun, Yuzhuo Zhang, Wen Ren, Xi’an University of Posts and Telecommunications, China
THP.P3.6: FINE CLASSIFICATION OF POLSAR LAND COVER TYPES BASED ON MULTI-BAND DATA
Fangzhou Han, Tianci Liu, Lamei Zhang, Harbin Institute of Technology, China; Shang Fang, University of Electro-Communications, Japan
THP.P3.7: POLSAR IMAGE CLASSIFICATION USING ATTENTION BASED SHALLOW TO DEEP CONVOLUTIONAL NEURAL NETWORK
Mohammed Q. Alkhatib, Mina Al-Saad, Nour Aburaed, M. Sami Zitouni, Hussain Al-Ahmad, University of Dubai, United Arab Emirates
THP.P3.8: A MULTIPLE-COMPONENT POLARIMETRIC DECOMPOSITION METHOD WITH REFINED VOLUME SCATTERING MODELS
Yu Wang, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Ruishi Wang, Special equipment inspection and Research Institute of Weifang, China; Weidong Yu, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Daqing Ge, Bin Liu, Xiangxing Wan, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
THP.P3.9: EIGENVALUE-EIGENVECTOR BASED HYBRID DECOMPOSITION OF POLARIMETRIC SAR DATA
Himanshu Maurya, Indian Institute of Information Technology Allahabad, India; Avik Bhattacharya, Indian Institute of Technology Bombay, India; Rajib Kumar Panigrahi, Indian Institute of Technology Roorkee, India; Subhadip Dey, Indian Institute of Technology Kharagpur, India
THP.P3.10: CROP DISCRIMINATION AND MAPPING USING MULTI-TEMPORAL RCM COMPACT POLARIMETRY SAR DATA
Hamid Jafarzadeh, Masoud Mahdianpari, Memorial University of Newfoundland, Canada; Abhinav Verma, Avik Bhattacharya, Indian Institute of Technology, India; Saeid Homayouni, Institut National de la Recherche Scientifique, Canada
THP.P3.11: CLASSIFICATION PERFORMANCE COMPARISON OF TIME-VARIANT SCATTERING FEATURES OF MULTI-TEMPORAL POLARIMETRIC SAR DATA
Li Gao, Zhiyuan Lin, Qiang Yin, Beijing University of Chemical Technology, China; Wen Hong, Chinese Academy of Sciences, China
Resources
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