TU2.P11.3

Weakly-supervised 3D Building Reconstruction from Monocular Remote Sensing Images

Weijia Li, Sun Yat-sen University, China
Session:
TU2.P11: Segmentation Methods for Specific Features and Application Contexts Oral
Track:
Data Analysis
Location:
Plaza: Room P11
Presentation Time:
Tuesday, 5 August, 11:00 - 11:15
Session Co-Chairs:
Qian Du, Mississippi State University and Osmar Carvalho, University of Brasília
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Session TU2.P11
TU2.P11.1: EXTRACTION OF TALL BUILDING ROOF AND FACADES BASED ON DSM AND COORDINATE TRANSFORMATION
Lin Yi, Feng Wang, Niangang Jiao, Jingxing Zhu, Hongjian You, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU2.P11.2: A SCENE-ADAPTIVE FEATURE FUSION MECHANISM FOR EXTRACTING BUILDINGS FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY
Tong Xue, Kaimin Sun, Song Gao, Jinjiang Wei, Kaini Jiang, Shunxia Miao, Wuhan University, China
TU2.P11.3: Weakly-supervised 3D Building Reconstruction from Monocular Remote Sensing Images
Weijia Li, Sun Yat-sen University, China
TU2.P11.4: OPTIMISING DEEP LEARNING MODELS FOR SUBSURFACE FEATURE DETECTION WITH IMAGE ENHANCEMENT TECHNIQUES ON SENTINEL-2 DATA
Andaleeb Yaseen, Ca’ Foscari University, Italy; Giulio Poggi, Marco Fiorucci, Center for Cultural Heritage Technology, Istituto Italiano di Tecnologia, Italy; Sebastiano Vascon, Ca’ Foscari University, Italy; Arianna Traviglia, Center for Cultural Heritage Technology, Istituto Italiano di Tecnologia, Italy
TU2.P11.5: Zero-Shot Detection of Center Pivot Irrigation Systems with SAM and Geometric Heuristics
Osmar Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Albuquerque, University of Brasília, Brazil
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