| 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 Chair | Zhengwei 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 |