THP2.PQ: RS for Crop Classification and Carbon Emission
Thursday, 7 August, 14:30 - 15:45
Location: Plaza Ballroom: Poster Area Q
Session Type: Poster
Session Co-Chairs: Subhadip Dey, Max Planck Institute for Mathematics and Hansanee Fernando, University of Saskatchewan
Track: Land Applications
Plaza Ballroom: Poster Area Q
THP2.PQ.1: STUDY ON THE LAYOUT OF MULBERRY INDUSTRY IN CHINA BASED ON REMOTE SENSING
Plaza Ballroom: Poster Area Q
THP2.PQ.3: ACCURATE CLASSIFICATION AND CHANGE MONITORING OF CROPS IN BEIJING BASED ON MULTI-TEMPORAL REMOTE SENSING DATA
Plaza Ballroom: Poster Area Q
THP2.PQ.6: An Improved Green Vegetation Segmentation Method Based on RGB and NIR Image Pairs
Plaza Ballroom: Poster Area Q
THP2.PQ.8: PIG IMAGE SEGMENTATION BASED ON IMAGE ENHANCEMENT AND IMPROVED MASK R-CNN
Plaza Ballroom: Poster Area Q
THP2.PQ.9: National-Scale In-Season Mapping of Agricultural Field Boundaries in Ukraine
Plaza Ballroom: Poster Area Q
THP2.PQ.10: FUSING SELF-SUPERVISED AND SUPERVISED LEARNING: A UNIFIED PRE-TRAINING FRAMEWORK FOR CROP MAPPING
Plaza Ballroom: Poster Area Q