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

TU1.R20.1

SUN GLINT REMOVAL OF HYPERSPECTRAL IMAGES VIA TEXTURE-AWARE TOTAL VARIATION

Puhong Duan, Hunan University, China; Jian Kang, Technical University of Berlin, Germany; Xudong Kang, Hunan University, China; Pedram Ghamisi, Helmholtz Institute Freiberg for Resource Technology, Germany; Shutao Li, Hunan University, China
Session:
Student Paper Contest Finalists I
Track:
Student Paper Competition
Presentation Time:
Tue, 29 Sep, 12:00-12:20 (UTC)
Tue, 29 Sep, 20:00-20:20 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00-14:20 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 05:00-05:20 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Joel Johnson, Ohio State University and Francesca Bovolo, Fondazione Bruno Kessler
Session Managers:
Thiago Borba Onofre and Seda Özarpacı

Presentation

Discussion

Resources

Session

TU1.R20.1: SUN GLINT REMOVAL OF HYPERSPECTRAL IMAGES VIA TEXTURE-AWARE TOTAL VARIATION
Puhong Duan, Hunan University, China; Jian Kang, Technical University of Berlin, Germany; Xudong Kang, Hunan University, China; Pedram Ghamisi, Helmholtz Institute Freiberg for Resource Technology, Germany; Shutao Li, Hunan University, China
TU1.R20.2: REMOTE SENSING IMAGE SPATIO-TEMPORAL FUSION VIA A GENERATIVE ADVERSARIAL NETWORK THROUGH ONE PRIOR IMAGE PAIR
Yiyao Song, Hongyan Zhang, Liangpei Zhang, Wuhan University, China
TU1.R20.3: NEW ALGORITHM FOR NEAR-FIELD ISAR IMAGING
Jixiang Fu, Xidian University, China; Villanova University, United States; Yang Lan, Mengdao Xing, Guangcai Sun, Xidian University, China
TU1.R20.4: SPATIAL BIAS CORRECTION OF SOCIAL MEDIA DATA BY EXPLOITING REMOTE SENSING KNOWLEDGE IN DATA-DEFICIENT REGIONS
Zhenjie Liu, Jun Li, Sun Yat-sen University, China; Javier Plaza, Antonio Plaza, University of Extremadura, Spain
TU1.R20.5: A Non-model Based Three Component Scattering Power Decomposition for Full Polarimetric SAR Data
Subhadip Dey, Debanshu Ratha, Dipankar Mandal, Avik Bhattacharya, Indian Institute of Technology Bombay, India; Alejandro C. Frery, Universidade Federal de Alagoas, Brazil