MO1.R11.2

A DEEP CONVOLUTIONAL NEURAL NETWORK FOR BUILDING DAMAGE EVALUATION FROM SATELLITE IMAGES

Jau-Lang Su, Chia-Cheng Yeh, National Science and Technology Center for Disaster Reduction, Taiwan; Mohammad Alkhaleefah, National Taipei University of Technology, Taiwan; Lena Chang, National Taiwan Ocean University, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan; ,
Session:
MO1.R11: Applied Deep Learning Applications in Remote Sensing Data Analysis Oral
Track:
Community-Contributed Sessions
Location:
Room 106
Presentation Time:
Mon, 17 Jul, 13:12 - 13:24 Pacific Time (UTC -7)
Session Co-Chairs:
Yang-Lang Chang, National Taipei University of Technology and Chih-Chang Yu, Chung Yuan Christian University
Session Manager:
Lanying Wang
Presentation
Discussion
Resources
No resources available.
Session MO1.R11
MO1.R11.1: APPLICATION OF SENTINEL-1 AND DEM DATA TO SHORELINE DETECTION BASED ON U-NET METHOD
Lena Chang, Yi-Ting Chen, Kai-Yu Hsiao, National Taiwan Ocean University, Taiwan; Meng-Che Wu, Taiwan Space Agency, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan
MO1.R11.2: A DEEP CONVOLUTIONAL NEURAL NETWORK FOR BUILDING DAMAGE EVALUATION FROM SATELLITE IMAGES
Jau-Lang Su, Chia-Cheng Yeh, National Science and Technology Center for Disaster Reduction, Taiwan; Mohammad Alkhaleefah, National Taipei University of Technology, Taiwan; Lena Chang, National Taiwan Ocean University, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan; ,
MO1.R11.3: INCREMENTED SCENE CLASSIFICATION ON SATELLITE IMAGERY USING FEATURE MAP DISTILLATION AND CLASSIFIER DISCREPANCY
Chih-Chang Yu, Tzu-Ying Chen, Chung Yuan Christian University, Taiwan; Hsu-Yung Cheng, National Central University, Taiwan
MO1.R11.4: A TRANSFORMER-BASED NETWORK USING CLIP FEATURES AND MASK TOKENS FOR REMOTE SENSING IMAGE CAPTIONING
Qiaoling Lin, Xiutiao Ye, Ruixuan Wang, Dou Quan, Yanhe Guo, Yu Gu, Shuang Wang, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China
MO1.R11.5: SEN2DWATER: A NOVEL MULTISPECTRAL AND MULTITEMPORAL DATASET AND DEEP LEARNING BENCHMARK FOR WATER RESOURCES ANALYSIS
Francesco Mauro, University of Sannio, Italy; Benjamin Rich, Veronica Wairimu Muriga, Massachusetts Institute of Technology (MIT), United States; Fjoralba Janku, University of Sannio, Italy; Alessandro Sebastianelli, European Space Agency (ESA), Italy; Silvia Liberata Ullo, University of Sannio, Italy
Resources
No resources available.