FR2.R13.3
RECOVERING SATELLITE IMAGERY GEOMETRY FROM GOOGLE EARTH MAPS FOR LOW-COST URBAN TEXTURE MAPPING
Shiqi Li, Xu Huang, Sun Yat-Sen University, China
Session:
FR2.R13: 3D mapping Oral
Track:
Theory and Techniques
Location:
Georgetown West
Presentation Time:
Friday, 14 August, 11:30 - 11:45
Session Chair:
Candan Eylül Kilsedar, Politecnico di Torino
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Session FR2.R13
FR2.R13.1: GSRGS-TDOM: a global scene representation-based 3DGS framework for fast, high-fidelity TDOM generation with depth regulation
CHAO YANG, Yapeng Li, Shihong Yao, Wen Xiao, Nengcheng Chen, China University of Geosciences(Wuhan), China
FR2.R13.2: GDOP-BASED GCP OPTIMIZATION FOR UAV PHOTOGRAMMETRY
Ritesh Sharma, Neha Sharma, Shreyas Harish, Colin Drake, Yuichi Motai, Virginia Commonwealth University, United States
FR2.R13.3: RECOVERING SATELLITE IMAGERY GEOMETRY FROM GOOGLE EARTH MAPS FOR LOW-COST URBAN TEXTURE MAPPING
Shiqi Li, Xu Huang, Sun Yat-Sen University, China
FR2.R13.4: DISASTER MANAGEMENT IN URBAN AREAS USING 3D GEOSPATIAL DATA: TOWARDS A DIGITAL TWIN OF TURIN
Candan Eylül Kilsedar, Fatima Baha Eddine, Daniele Sanmartino, Luigi La Riccia, Emere Arco, Vittorio Scolamiero, Piero Boccardo, Politecnico di Torino, Italy
FR2.R13.5: DEEP S2P: INTEGRATING LEARNING BASED STEREO MATCHING INTO THE SATELLITE STEREO PIPELINE
Elías Masquil, Universidad de la República, Uruguay; Thibaud Ehret, AMIAD, France; Pablo Musé, Universidad de la República, Uruguay; Gabriele Facciolo, Université Paris-Saclay, ENS Paris-Saclay, France
Resources
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