TH1.R13.4
DEEP LEARNING-BASED SEGMENTATION OF SENTINEL-1 SAR SATELLITE IMAGERY FOR RIVER ICE DETECTION WITH WEAK OPTICAL SUPERVISION
Hamza Kaddour, Baya Cherif, Marouane Temimi, Stevens Institute of Technology, United States
Session:
TH1.R13: Image Segmentation Applications Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Thu, 13 Aug, 09:15 - 09:30
Presentation
Discussion
Resources
No resources available.
Session TH1.R13
TH1.R13.1: LORA-SFSAM: ALL-DAY SEA FOG DETECTION VIA ILLUMINATION-AWARE SPECTRAL MODELING USING SOLAR ZENITH ANGLE AND ROPE
Si'an Xie, Ming Wu, Mingrui Xu, Xing Zhang, Bin Zhang, Beijing University of Posts and Telecommunications, China
TH1.R13.2: CROSS-NETWORK COLLABORATION AND BOUNDARY REFINEMENT FOR SEMI-SUPERVISED REMOTE SENSING FARMLAND SEGMENTATION
Man Chen, Shuai Xu, Huaping Zhou, Kelei Sun, Anhui University of Science and Technology, China
TH1.R13.3: SegSP: Accurate Underwater Substrate Mapping via Superpixel-Based Refinement
Shiqi Wang, Yi Shang, Tyler M Hessler, Craig P Paukert, Zhenduo Zhai, University of Missouri, United States
TH1.R13.4: DEEP LEARNING-BASED SEGMENTATION OF SENTINEL-1 SAR SATELLITE IMAGERY FOR RIVER ICE DETECTION WITH WEAK OPTICAL SUPERVISION
Hamza Kaddour, Baya Cherif, Marouane Temimi, Stevens Institute of Technology, United States
TH1.R13.5: AFHM-Net: A Multi-Scale and Long-Range Hybrid Modeling Framework for Abandoned Farmland Segmentation
Yongsheng Zhang, Shanyan Lai, Hui Zhou, Chunyang Ye, Hainan University, China
Contacts