TUP1.PB: Cross-Domain Learning and Semantic Segmentation in Remote Sensing
Tuesday, 5 August, 09:15 - 10:30
Location: Plaza Ballroom: Poster Area B
Session Type: Poster
Session Co-Chairs: Zhenhua Wu, Anhui University and Jagannath Aryal, University of Melbourne
Track: AI and Big Data
Plaza Ballroom: Poster Area B
TUP1.PB.1: CROSS-DOMAIN POLSAR IMAGE CLASSIFICATION BASED ON MULTIMODAL DOMAIN GENERALIZATION NETWORK
Plaza Ballroom: Poster Area B
TUP1.PB.2: A MULTI-MODAL CO-LEARNING MODEL WITH SHARED AND SPECIFIC FEATURES FOR LAND-COVER CLASSIFICATION
Plaza Ballroom: Poster Area B
TUP1.PB.5: SWIN-LSTM: A HYPERSPECTRAL IMAGE CLASSIFICATION METHOD THAT CAN EXTRACT CROSS MODAL INFORMATION
Plaza Ballroom: Poster Area B
TUP1.PB.6: HYBRID MULTI-DIMENSIONAL CONVOLUTION AND ATTENTION NETWORK FOR CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
Plaza Ballroom: Poster Area B
TUP1.PB.7: SEMANTIC-SAM AI MODEL FOR PRECISE RECOGNITION OF COAL MINING AREA SCENES
Plaza Ballroom: Poster Area B
TUP1.PB.8: REVOLUTIONIZING REMOTE SENSING WITH INTERPRETABLE MACHINE LEARNING - TSETLIN MACHINE
Plaza Ballroom: Poster Area B
TUP1.PB.10: Improving Geological Interpretation with Multi-Scale Fusion and Lithological Hierarchical Constraints
Plaza Ballroom: Poster Area B
TUP1.PB.11: TOWARDS PRACTICAL SAR-TO-OPTICAL TRANSLATION: AN END-TO-END SAR-TO-LULC APPROACH LEVERAGING JAXA LULC MAP
Plaza Ballroom: Poster Area B