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
Session:
TU2.P11: Segmentation Methods for Specific Features and Application Contexts Oral
Track:
Data Analysis
Location:
Room P11
Presentation Time:
Tuesday, 5 August, 10:45 - 11:00
Presentation
Discussion
Resources
No resources available.
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: AUTOMATIC RIVER SEGMENTATION FROM OPTICAL SATELLITE IMAGES
Maria Zampella, Andrea Dosi, Massimo Brescia, Mariarca D'Aniello, Adriano Ettari, Carlo Donadio, University of Naples Federico II, Italy
TU2.P11.5: 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
Resources
No resources available.