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

WE2.R3.4

A NOVEL GENERAL SEMISUPERVISED DEEP LEARNING FRAMEWORK FOR CLASSIFICATION AND REGRESSION WITH REMOTE SENSING IMAGES

Zhao Chen, Guangchen Chen, Feng Zhou, Bin Yang, Lili Wang, Qiong Liu, Yonghang Chen, Donghua University, China
Session:
Spatial and Temporal Interpolation Approaches and Applications
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 30 Sep, 15:00-15:10 (UTC)
Wed, 30 Sep, 23:00-23:10 China Standard Time (UTC +8)
Wed, 30 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Riadh Abdelfattah, Université of Carthage: COSIM Lab, Higher School of Communications of Tunis, Tunisia. and B.S. Daya Sagar, Indian Statistical Institute-Banagalore Centre
Session Manager:
Vasala Saicharan

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Session

WE2.R3.1: A spatialization method of population data considering spatial heterogeneity
Zhen Zhao, HongMei Guo, Ying Zhang, Yuan Shen, Earthquake Administration of Sichuan Province, China
WE2.R3.2: RAPID ESTIMATION OF ORTHOGONAL MATCHING PURSUIT REPRESENTATION
Ayan Chatterjee, Peter Yuen, Cranfield University, United Kingdom
WE2.R3.3: PRODUCING A GAP-FREE LANDSAT TIME SERIES FOR THE TAITA HILLS, SOUTHEASTERN KENYA
Zhipeng Tang, Hari Adhikari, Petri Pellikka, Janne Heiskanen, University of Helsinki, Finland
WE2.R3.4: A NOVEL GENERAL SEMISUPERVISED DEEP LEARNING FRAMEWORK FOR CLASSIFICATION AND REGRESSION WITH REMOTE SENSING IMAGES
Zhao Chen, Guangchen Chen, Feng Zhou, Bin Yang, Lili Wang, Qiong Liu, Yonghang Chen, Donghua University, China
WE2.R3.5: Infinite Number of Looks Prediction in PolSAR Filtering by Linear Regression
Mohamed Yahia, Tarig Ali, GIS and Mapping Laboratory, American University of Sharjah UAE, United Arab Emirates; Maruf Mortula, American University of Sharjah UAE, Tunisia; Riadh Abdelfattah, Université of Carthage: COSIM Lab, Higher School of Communications of Tunis, Tunisia; Samy Elmahdy, GIS and Mapping Laboratory, American University of Sharjah UAE, United Arab Emirates
WE2.R3.6: A DEEP GAUSSIAN PROCESS FOR FORECASTING CROP YIELD AND TIME SERIES ANALYSIS OF PRECIPITATION BASED IN MUNSHIGANJ, BANGLADESH
Mostafa Didar Mahdi, Nusrat Jahan Mrittika, Maleeha Shams, Labib Chowdhury, Shahnewaz Siddique, North South University, Bangladesh
WE2.R3.7: azimuth velocity estimation in multi-channel SAR based on variable-boresight mode
Yahua Ren, Junfeng Wang, Xingzhao Liu, Yesheng Gao, Shanghai Jiao Tong University, China
WE2.R3.8: water body detection and water quality monitoring in the Dam based on the X-band SAR and optical data
Boram Lee, Yoon-Kyung Lee, Sang-Wan Kim, Sejong University, Korea (South)
WE2.R3.9: REMOTE SENSING IMAGES INPAINTING BASED ON STRUCTURED LOW-RANK MATRIX APPROXIMATION
Yue Hu, Zidi Wei, Harbin Institute of Technology, China; Kuangshi Zhao, No.703 Research Institute of CSIC, China
WE2.R3.10: LAND COVER CLASSIFICATION OF AN AREA SUSCEPTIBLE TO LANDSLIDES USING RANDOM FOREST AND NDVI TIME SERIES DATA
Tatiana Dias Tardelli Uehara, Anderson Reis Soares, Renata Pacheco Quevedo, Thales Sehn Körting, Leila Maria Garcia Fonseca, Marcos Adami, Brazil's National Institute for Space Research, Brazil