WE1.R13.3

STRUCTRUAL HEALTH MONITORING IN TAIPEI: FIRST TOMOSAR APPLICATION IN TAIWAN

Yi-Ching Chen, CGG Satellite Mapping, Taiwan; Yunung Nina Lin, Hsin Tung, Academia Sinica, Taiwan; Peter Tian-Yuan Shih, Tee-Ann Teo, National Yang Ming Chiao Tung University, Taiwan
Session:
WE1.R13: 3D Mapping with Remote Sensing Data for Digital TwIns, Disaster Management, and Building Information Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Wed, 19 Jul, 08:54 - 09:06 Pacific Time (UTC -7)
Session Chair:
Ingo Simonis, OGC
Session Manager:
Coryn Wolk
Presentation
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session WE1.R13
WE1.R13.1: POLYHEDRON-BASED GRAPH NEURAL NETWORK FOR COMPACT BUILDING MODEL RECONSTRUCTION
Zhaiyu Chen, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu, Technical University of Munich, Germany
WE1.R13.2: A METHOD FOR COMPLETING MISSING 3D POINT CLOUD RECONSTRUCTED FROM AERIAL MULTI-VIEW IMAGES USING SELF-ATTENTION MECHANISM
Takenobu Kiyama, Chun Xie, Hidehiko Shishido, University of Tsukuba, Japan; Hisatoshi Toriya, Akita University, Japan; Itaru Kitahara, University of Tsukuba, Japan
WE1.R13.3: STRUCTRUAL HEALTH MONITORING IN TAIPEI: FIRST TOMOSAR APPLICATION IN TAIWAN
Yi-Ching Chen, CGG Satellite Mapping, Taiwan; Yunung Nina Lin, Hsin Tung, Academia Sinica, Taiwan; Peter Tian-Yuan Shih, Tee-Ann Teo, National Yang Ming Chiao Tung University, Taiwan
WE1.R13.4: POINT CORRESPONDENCE PRESERVED LINE SEGMENT MATCHING
Mingyue Dong, Zhuang Yuan, Xianwei Zheng, Wuhan University, China; Linwei Yue, China University of Geosciences, China; Jianya Gong, Wuhan University, China
WE1.R13.5: USING UAV DATA TO IMPROVE THE SITUATIONAL AWARENESS FOR FIRST RESPONDERS IN DISASTER MANAGEMENT: THE EXAMPLE OF FLOODING IN THE AHR VALLEY, GERMANY
Magdalena Halbgewachs, Lucas Angermann, Marc Wieland, German Aerospace Center (DLR), Germany; Uwe Kippnich, Bavarian Red Cross (BRK), Germany; Konstanze Lechner, German Aerospace Center (DLR), Germany
Resources
No resources available.