July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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My IGARSS 2019 Schedule

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Session Detail

Session Title FR2.R8: Big Data and Machine Learning - Machine Learning for Landcover/Landuse
Presentation Mode Oral
Session Time Friday, 02 August, 10:40 - 12:20
Location Room 414-415
Session ChairZhengwei Yang, USDA National Agricultural Statistics Service
  FR2.R8.1: IMPACT OF NON-PROPORTIONAL TRAINING SAMPLING OF IMBALANCED CLASSES ON LAND COVER CLASSIFICATION ACCURACY WITH SEE5 DECISION TREE
         Zhengwei Yang; USDA National Agricultural Statistics Service
         Claire Boryan; USDA National Agricultural Statistics Service
  FR2.R8.2: MULTISCALE BASED CHARACTERIZATION AND CLASSIFICATION OF URBAN LAND-USE
         Jacob Arndt; Oak Ridge National Laboratory
         Dalton Lunga; Oak Ridge National Laboratory
         Jeanette Weaver; Oak Ridge National Laboratory
         St. Thomas LeDoux; Oak Ridge National Laboratory
         Sarah Tennille; Oak Ridge National Laboratory
  FR2.R8.3: A CLASS ACTIVATION MAPPING GUIDED ADVERSARIAL TRAINING METHOD FOR LAND-USE CLASSIFICATION AND OBJECT DETECTION
         Rui Yang; Wuhan University
         Xin Xu; Wuhan University
         Zhaozhuo Xu; Stanford University
         Chujiang Ding; Wuhan University
         Fangling Pu; Wuhan University
  FR2.R8.4: SPATIAL INFORMATION INFERENCE NET: ROAD EXTRACTION USING ROAD-SPECIFIC CONTEXTUAL INFORMATION
         Ji Qi; Central South University
         Chao Tao; Central South University
         Hao Wang; Central South University
         Yuqi Tang; Central South University
         Zhenqi Cui; Central South University