FR1.R9.4
AN EVALUATION OF INSTANCE, PANOPTIC AND UNIVERSAL SEGMENTATION ARCHITECTURES FOR AUTOMATED AGRICULTURAL FIELD BOUNDARY DELINEATION AT SCALE
Zhanpei Fang, Fuxin Li, Jamon Van Den Hoek, Oregon State University, United States
Session:
FR1.R9: Application-Oriented Remote Sensing Image Analysis Tasks Oral
Track:
Community Contributed Themes
Location:
Fairchild
Presentation Time:
Friday, 14 August, 09:15 - 09:30
Presentation
Discussion
Resources
No resources available.
Session FR1.R9
FR1.R9.1: M3: A MULTISTAGE, MULTITASK, AND MULTISPECTRAL FRAMEWORK FOR BUILDING FOOTPRINT SEGMENTATION IN INDUSTRIAL ZONES
Denis Groshev, Technical University of Munich, Germany; Matthew T Martinez, International Atomic Energy Agency, Austria
FR1.R9.2: Enhanced LULC Segmentation via Lightweight Model Refinements on ALOS-2 SAR Data
Ali Caglayan, Nevrez Imamoglu, Toru Kouyama, National Institute of Advanced Industrial Science and Technologhy (AIST), Japan
FR1.R9.3: URBANPANO-ISPRS: A VERY-HIGH-RESOLUTION PANOPTIC SEGMENTATION DATASET FOR URBAN SCENE UNDERSTANDING
Lei Chen, Qijian Zhang, Dengfeng Chai, Zhejiang University, China
FR1.R9.4: AN EVALUATION OF INSTANCE, PANOPTIC AND UNIVERSAL SEGMENTATION ARCHITECTURES FOR AUTOMATED AGRICULTURAL FIELD BOUNDARY DELINEATION AT SCALE
Zhanpei Fang, Fuxin Li, Jamon Van Den Hoek, Oregon State University, United States
Resources
No resources available.