IEEE IGARSS 2020 || Virtual Symposium || September 26 - October 2, 2020

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

Session:

Spatial and Temporal Interpolation Approaches and Applications

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Wed, 30 Sep, 15:20-15:30 (UTC)
Wed, 30 Sep, 23:20-23:30 China Standard Time (UTC +8)
Wed, 30 Sep, 17:20-17:30 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 08:20-08:30 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