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

My IGARSS 2020 Schedule

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Session Detail

Session Title WE2.R18: Deep and Semantic Learning for Object Detection
Presentation Mode Virtual
Session Time Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsMelba M. Crawford, Purdue University and Jonathan Li, University of Waterloo
WE2.R18.1: UNDERWATER FIELD EQUIPMENT OF A NETWORK OF LANDMARKS OPTIMIZED FOR AUTOMATIC DETECTION BY AI
         Laurent Beaudoin; EPITA
         Loica Avanthey; EPITA
WE2.R18.2: UNDERWATER CALIBRATION IN NEAR REAL TIME: FOCUS ON DETECTION OPTIMIZED BY AI AND SELECTION OF CALIBRATION PATTERNS
         Loica Avanthey; EPITA
         Laurent Beaudoin; EPITA
WE2.R18.3: AUTOMATED DETECTION OF MANHOLE COVERS IN MLS POINT CLOUDS USING A DEEP LEARNING APPROACH
         Liyuan Qing; University of Waterloo
         Ke Yang; University of Waterloo
         Weikai Tan; University of Waterloo
         Jonathan Li; University of Waterloo
WE2.R18.4: A WEAKLY SUPERVISED DEEP LEARNING APPROACH FOR PLANT CENTER DETECTION AND COUNTING
         Azam Karami; Purdue University
         Melba M. Crawford; Purdue University
         Edward J. Delp; Purdue University
WE2.R18.5: UAV BASED REMOTE SENSING FOR TASSEL DETECTION AND GROWTH STAGE ESTIMATION OF MAIZE CROP USING MULTISPECTRAL IMAGES
         Ajay Kumar; Indian Institute of Technology Hyderabad Telangana India
         Mahesh Taparia; Indian Institute of Technology Hyderabad Telangana India
         P. Rajalakshmi; Indian Institute of Technology Hyderabad Telangana India
         Wei Guo; International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
         Balaji Naik; Professor Jayashankar Telangana State Agricultural University (PJTSAU)
         Balram Marathi; Professor Jayashankar Telangana State Agricultural University (PJTSAU)
         Uday Desai; Indian Institute of Technology Hyderabad Telangana India
WE2.R18.6: ACCURATE DETECTION OF HISTORICAL BUILDINGS USING AERIAL PHOTOGRAPHS AND DEEP TRANSFER LEARNING
         Yongzhu Xiong; Jiaying University
         Qi Chen; University of Hawaii at Manoa
         Mingyong Zhu; Jiaying University
         Yu Zhang; Jiaying University
         Kekun Huang; Jiaying University
WE2.R18.7: CENTER PIVOT CLASSIFICATION WITH DEEP RESIDUAL U-NET
         Anesmar Olino de Albuquerque; Universidade de Brasília
         Pablo Pozzobon de Bem; Universidade de Brasília
         Rebeca dos Santos de Moura; Universidade de Brasília
         Osmar Luiz Ferreira de Carvalho; Universidade de Brasília
         Pedro Henrique Guimarães Ferreira; Universidade de Brasília
         Cristiano Rosa Silva; Universidade de Brasília
         Roberto Arnaldo Trancoso Gomes; Universidade de Brasília
         Renato Fontes Guimarães; Universidade de Brasília
         Osmar Abilio Carvalho Júnior; Universidade de Brasília
WE2.R18.8: CONVOLUTIONAL NEURAL NETWORK FOR DETECTION OF RESIDENTIAL PHOTOVOLTAIC SYSTEMS IN SATELLITE IMAGERY
         Matthew Moraguez; Massachusetts Institute of Technology
         Alejandro Trujillo; Massachusetts Institute of Technology
         Olivier de Weck; Massachusetts Institute of Technology
         Afreen Siddiqi; Massachusetts Institute of Technology
WE2.R18.9: SAR EDDY DETECTION USING MASK-RCNN AND EDGE ENHANCEMENT
         Di Zhang; University of Hamburg
         Martin Gade; University of Hamburg
         Jianwei Zhang; University of Hamburg
WE2.R18.10: IMPROVING THE PERFORMANCE OF SEABIRDS DETECTION COMBINING MULTIPLE SEMANTIC SEGMENTATION MODELS
         Chunxiu Liu; Shandong University of Science and Technology
         Yanfang Ming; Shandong University of Science and Technology
         Jinshan Zhu; Shandong University of Science and Technology
WE2.R18.11: DEEP NETWORKS UNDER BLOCK-LEVEL SUPERVISION FOR PIXEL-LEVEL CLOUD DETECTION IN MULTI-SPECTRAL SATELLITE IMAGERY
         Wei Chen; School of Remote Sensing and Information Engineering, Wuhan University
         Yansheng Li; School of Remote Sensing and Information Engineering, Wuhan University
         Yongjun Zhang; School of Remote Sensing and Information Engineering, Wuhan University
         Xiaolong Hao; Beijing Tracking and Communication Technology Research Institute