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

FR1.R5.3

A QUANTITATIVE ANALYSIS ON THE USE OF SUPERVISED MACHINE LEARNING IN EARTH SCIENCE

Katrina Virts, Ashlyn Shirey, George Priftis, Kumar Ankur, Muthukumaran Ramasubramanian, Hassan Muhammad, Ashish Acharya, University of Alabama in Huntsville, United States; Rahul Ramachandran, National Aeronautics and Space Administration, United States
Session:
Networks and Time Series Methods for Remote Sensing
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 2 Oct, 12:20-12:30 (UTC)
Fri, 2 Oct, 20:20-20:30 China Standard Time (UTC +8)
Fri, 2 Oct, 14:20-14:30 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 05:20-05:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Rahul Ramachandran, NASA Marshall Space Flight Center and Veraldo Liesenberg, Santa Catarina State University - UDESC
Session Managers:
Rabia Munsaf Khan and Laura Almendra Martín

Presentation

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Session

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