TUP1.PD: Cross-Domain Learning and Semantic Segmentation in Remote Sensing
Tuesday, 5 August, 09:15 - 10:30
Location: Poster Area
Session Type: Poster
Track: AI and Big Data
Poster Area

TUP1.PD.1: CROSS-DOMAIN POLSAR IMAGE CLASSIFICATION BASED ON MULTIMODAL DOMAIN GENERALIZATION NETWORK
Wenxin Yao, Yice Cao, Zhenhua Wu, Jie Chen, Chenchen liu, Liu Xiong, Zhixiang Huang, Anhui University, China
Poster Area

TUP1.PD.2: A MULTI-MODAL CO-LEARNING MODEL WITH SHARED AND SPECIFIC FEATURES FOR LAND-COVER CLASSIFICATION
Francisco Mena, University of Kaiserslautern-Landau, Germany; Dino Ienco, Cassio Dantas, INRAE, UMR TETIS, University of Montpellier, France; Roberto Interdonato, CIRAD, UMR TETIS, University of Montpellier, France; Andreas Dengel, German Research Center for Artificial Intelligence, Germany
Poster Area

TUP1.PD.3: DOMAIN CLASS SEMANTIC ALIGNMENT NETWORK WITH UNDISTORTED RANDOMIZATION FOR CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
Baozhu Gong, Kai Yang, Guo Cao, Nanjing University of Science and Technology, China
Poster Area

TUP1.PD.4: HYPER SPECTRAL IMAGE CLASSIFICATION WITH A DENSE ASYMMETRIC CONVOLUTION AND DILATED CONVOLUTION IDLE BLOCK NETWORK
Zhaobin Wang, guannan lei, Zhongxin Chen, Yaonan Zhang, Lanzhou University, China
Poster Area

TUP1.PD.5: SWIN-LSTM: A HYPERSPECTRAL IMAGE CLASSIFICATION METHOD THAT CAN EXTRACT CROSS MODAL INFORMATION
Bowen Song, Weili Kong, Harbin Engineering University, China; Baisen Liu, Heilongjiang Institute of Technology, China
Poster Area

TUP1.PD.6: HYBRID MULTI-DIMENSIONAL CONVOLUTION AND ATTENTION NETWORK FOR CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
Hongrui Wang, Boshan Shi, Guo Cao, Nanjing University of Science and Technology, China
Poster Area

TUP1.PD.7: SEMANTIC-SAM AI MODEL FOR PRECISE RECOGNITION OF COAL MINING AREA SCENES
Libing Wang, Jihong Dong, China University of Mining and Technology, China
Poster Area

TUP1.PD.8: REVOLUTIONIZING REMOTE SENSING WITH INTERPRETABLE MACHINE LEARNING - TSETLIN MACHINE
Pabodini Sinharage, Sandun Dassanayake, University of Moratuwa, Sri Lanka
Poster Area

TUP1.PD.9: Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
Amritendu Mukherjee, Dipanwita Sinha Mukherjee, Parthasarathy Ramachandran, Indian Institute of Science, Bangalore, India
Poster Area

TUP1.PD.10: Improving Geological Interpretation with Multi-Scale Fusion and Lithological Hierarchical Constraints
Yu Jiang, Chinese Academy of Sciences, China; Jun Wang, Zhipeng Wan, Shen Wang, China University of Geosciences, China; Fei Wang, Chinese Academy of Sciences, China; Wei Han, China University of Geosciences, China; Yongjun Xu, Chinese Academy of Sciences, China
Poster Area

TUP1.PD.11: TOWARDS PRACTICAL SAR-TO-OPTICAL TRANSLATION: AN END-TO-END SAR-TO-LULC APPROACH LEVERAGING JAXA LULC MAP
Xuanchao Fu, The University of Tokyo, Japan; Toru Kouyama, National Institute of Advanced Industrial Science and Technology, Japan; Junho Hur, The University of Tokyo, Japan; Ryosuke Nakamura, National Institute of Advanced Industrial Science and Technology, Japan; Ichiro Yoshikawa, The University of Tokyo, Japan
Poster Area

TUP1.PD.12: WEAKLY SUPERVISED SEMANTIC SEGMENTATION WITH EXTREMELY SPARSE ANNOTATIONS FOR LAND COVER MAPPING
Yuanhong Liao, Tsinghua University, China; Shuang Chen, University of Hong Kong, China; Ming Lin, Zhou Chen, Yuqi Bai, Tsinghua University, China