TU4.P11.1
MAMBA2-DRIVEN CNN FOR EFFICIENT FLOOD MAPPING IN SAR IMAGERY: A VISUAL STATE SPACE DUALITY APPROACH
Yuxin Wei, Bin Liu, Shanghai Ocean University, China
Session:
TU4.P11: Segmentation Methods for Specific Applications Oral
Track:
Data Analysis
Location:
Room P11
Presentation Time:
Tuesday, 5 August, 15:45 - 16:00
Presentation
Discussion
Resources
No resources available.
Session TU4.P11
TU4.P11.1: MAMBA2-DRIVEN CNN FOR EFFICIENT FLOOD MAPPING IN SAR IMAGERY: A VISUAL STATE SPACE DUALITY APPROACH
Yuxin Wei, Bin Liu, Shanghai Ocean University, China
TU4.P11.2: A SEMI-AUTOMATED METHOD FOR FULL-HORIZON SEISMIC INTERPRETATION
Diego H. Diemmer Mariani, Leandro Tonietto, Lucas Adams Seewald, Ademir Marques Junior, Maurício Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil; Andre L. Durante Spigolon, George de Barros, Petrobras, Brazil
TU4.P11.3: SEGMENTATION OF NON-CLOUD REGIONS OF TROPICAL CYCLONES WITH SEGFORMER
Joshua May, Mehrtash Harandi, J. Scott Tyo, Elizabeth A. Ritchie, Monash University, Australia
TU4.P11.4: CROPLAND EXTRACTION METHOD BASED ON CONVOLUTIONAL TEMPORAL SEIF-ATTENTION MECHANISM
minghui chang, Shihua Li, shuaifeng peng, University of Electronic Science and Technology of China, China; Katharina Anders, Mathilde Letard, Jiapan wang, Technical University of Munich (TUM), Germany
TU4.P11.5: UNSUPERVISED DOMAIN ADAPTATION U-NET FOR ROAD DETECTION
Gustavo R. Collegio, São Paulo State University, Brazil; Antonio G. G. Filho, Brazilian Army Geographic Service, Brazil; Aluir P. Dal Poz, São Paulo State University, Brazil; Ayman Habib, Purdue University, United States
Resources
No resources available.