TU1.R15.2
A Deep Learning Training Data Set Development for USGS 3DEP Lidar Point Cloud Classification
Jung kuan Liu, United State Geological Survey, United States; Hanyang Liu, Shuang Song, Rongjun Qin, The Ohio State University, United States
Session:
TU1.R15: GeoAI for Advanced Mapping and Geospatial Data Analysis: Innovations, Applications, and Challenges I Oral
Track:
Community Contributed Themes
Location:
Jefferson West
Presentation Time:
Tuesday, 11 August, 08:45 - 09:00
Session Co-Chairs:
Jung kuan Liu, National Geospatial Technical Operations Center and Rongjun Qin, The Ohio State University
Presentation
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Session TU1.R15
TU1.R15.1: CLICK2POLY: A VLM FOR VECTOR MAPPING BUILDINGS AND WALLS
Nicolas Girard, Jawher Ben Abdallah, Arno Gobbin, Liuyun Duan, Sacha Lepretre, LuxCarta, France
TU1.R15.2: A Deep Learning Training Data Set Development for USGS 3DEP Lidar Point Cloud Classification
Jung kuan Liu, United State Geological Survey, United States; Hanyang Liu, Shuang Song, Rongjun Qin, The Ohio State University, United States
TU1.R15.3: MULTI-TEMPORAL VECTORIZED GEODATABASE UPDATING USING PLANETSCOPE IMAGERY AND A PRIOR DSM
Abdulmajeed Batarfi, Rongjun Qin, The Ohio State University, United States
TU1.R15.4: EXPLORING CROSS-GEOGRAPHIC LIMITATIONS OF TABULAR REGRESSION MACHINE LEARNING MODELS
Paul Markakis, Duke University, United States; Jordan Malof, University of Missouri, United States; Leslie Collins, Kyle Bradbury, Duke University, United States
TU1.R15.5: High-Resolution Socioeconomic Mapping Integrating Sentinel-1/2 and SDGSAT-1 Glimmer Imagery
Tan Xin, Meng Qingyan, Zhao Qikang, Lei Xuewen, Tan Zhixiong, Wu Jiahao, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Resources
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