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 FR1.R5: Networks and Time Series Methods for Remote Sensing
Presentation Mode Virtual
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsRahul Ramachandran, NASA Marshall Space Flight Center and Veraldo Liesenberg, Santa Catarina State University - UDESC
FR1.R5.1: UNSUPERVISED SEQUENTIAL CLASSIFICATION OF MODIS TIME-SERIES
         Trienko Grobler; Stellenbosch University
         Waldo Kleynhans; University of Pretoria
         Brian Salmon; University of Tasmania
         Christiaan Burger; Stellenbosch University
FR1.R5.2: EMPLOYING DEEP LEARNING TO ENABLE VISUAL EXPLORATION OF EARTH SCIENCE EVENTS
         Manil Maskey; NASA Marshall Space Flight Center
         Rahul Ramachandran; NASA Marshall Space Flight Center
         Iksha Gurung; University of Alabama in Huntsville
         Muthukumaran Ramasubramanian; University of Alabama in Huntsville
         Brian Freitag; University of Alabama in Huntsville
         Aaron Kaulfus; University of Alabama in Huntsville
         Georgios Priftis; University of Alabama in Huntsville
         Drew Bollinger; Development Seed
         Ricardo Mestre; Development Seed
         Daniel da Silva; Development Seed
FR1.R5.3: A QUANTITATIVE ANALYSIS ON THE USE OF SUPERVISED MACHINE LEARNING IN EARTH SCIENCE
         Katrina Virts; University of Alabama in Huntsville
         Ashlyn Shirey; University of Alabama in Huntsville
         George Priftis; University of Alabama in Huntsville
         Kumar Ankur; University of Alabama in Huntsville
         Muthukumaran Ramasubramanian; University of Alabama in Huntsville
         Hassan Muhammad; University of Alabama in Huntsville
         Ashish Acharya; University of Alabama in Huntsville
         Rahul Ramachandran; National Aeronautics and Space Administration
FR1.R5.4: CLOUD DETECTION USING GABOR FILTERS AND ATTENTION-BASED CONVOLUTIONAL NEURAL NETWORK FOR REMOTE SENSING IMAGES
         Jing Zhang; State Key Laboratory of Integrated Service Networks, Xidian University
         Qin Zhou; State Key Laboratory of Integrated Service Networks, Xidian University
         Hui Wang; State Key Laboratory of Integrated Service Networks, Xidian University
         Yuchen Wang; State Key Laboratory of Integrated Service Networks, Xidian University
         Yunsong Li; State Key Laboratory of Integrated Service Networks, Xidian University
FR1.R5.5: IMPROVED CLOUD DETECTION MODEL USING S-NPP CRIS FSR DATA VIA MACHINE LEARNING
         Mengfan Zhang; University of Electronic Science and Technology of China
         Hao Chen; University of Electronic Science and Technology of China
         Guanghui Liu; University of Electronic Science and Technology of China
         Miao Tian; University of Electronic Science and Technology of China
FR1.R5.6: LABEL SMOOTHING TECHNIQUE FOR ORDINAL CLASSIFICATION IN CLOUD ASSESSMENT
         Yuxuan Wei; East China Normal University
         Qixuan Liu; East China Normal University
         Guixu Zhang; East China Normal University
         Yaxin Peng; Shanghai University
         Chaomin Shen; East China Normal University
FR1.R5.7: NEW NETWORK BASED ON UNET++ AND DENSENET FOR BUILDING EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGERY
         Zhonggui Tong; University of Electronic Science and Technology of China
         Yuxia Li; University of Electronic Science and Technology of China
         Yuzhen Li; ChengDu Software Industry Development Center
         Kunlong Fan; University of Electronic Science and Technology of China
         Yu Si; University of Electronic Science and Technology of China
         Lei He; Chengdu University of Information Technology
FR1.R5.8: DETECTION OF SOLAR CORONAL MASS EJECTIONS FROM RAW IMAGES WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
         Diego Valsesia; Politecnico di Torino
         Andrea Grippi; Politecnico di Torino
         Enrico Magli; Politecnico di Torino
         Roberto Susino; National Institute for Astrophysics - Astrophysical Observatory of Torino
         Daniele Telloni; National Institute for Astrophysics - Astrophysical Observatory of Torino
         Gianalfredo Nicolini; National Institute for Astrophysics - Astrophysical Observatory of Torino
         Marta Casti; ALTEC SpA
         Angelo Fabio Mulone; ALTEC SpA
         Rosario Messineo; ALTEC SpA
FR1.R5.9: VESSEL DETECTION USING IMAGE PROCESSING AND NEURAL NETWORKS
         Konstantina Bereta; MarineTraffic
         Raffaele Grasso; NATO-STO-CMRE
         Dimitris Zissis; University of the Aegean
FR1.R5.10: SATELLITE-DERIVED BATHYMETRY USING DEEP CONVOLUTIONAL NEURAL NETWORK
         Bibin Wilson; Indian Institute of Technology Bombay
         Nikhil Cherian Kurian; Indian Institute of Technology Bombay
         Anand Singh; Indian Institute of Technology Bombay
         Amit Sethi; Indian Institute of Technology Bombay
FR1.R5.11: HUMAN IDENTIFICATION USING MICRO-MOTION AND LIGHTWEIGHT NEURAL NETWORKS
         Li Sun; Xi'an Jiaotong University
         Hua Xu; Airforce Engineering University
         Guohe Zhang; Xi'an Jiaotong University
         Feng Liang; Xi'an Jiaotong University
         Zhichao Tian; Xi'an Jiaotong University
         Yanxin Yuan; Airforce Engineering University
FR1.R5.12: LARGE-SCALE PRECISE MAPPING OF AGRICULTURAL FIELDS IN SENTINEL-2 SATELLITE IMAGE TIME SERIES
         Yady Tatiana Solano-Correa; Fondazione Bruno Kessler
         Daniel Carcereri; University of Trento
         Francesca Bovolo; Fondazione Bruno Kessler
         Lorenzo Bruzzone; University of Trento