FR2.M2.4
CadNet: a Deep Learning Model with Enhanced Line Connectivity for Cadastral Boundary Delineation
Jeroen Grift, Claudio Persello, Mila Koeva, University of Twente, Netherlands
Session:
FR2.M2: Advances in Image Analysis and Data Fusion for Earth Observation Towards Sustainable Development Goals II Oral
Track:
Community-Contributed Sessions
Location:
Room M2
Presentation Time:
Friday, 8 August, 11:15 - 11:30
Session Co-Chairs:
Silvia Ullo, University of Sannio and Ujjwal Verma, Manipal Institute of Technology
Presentation
Discussion
Resources
No resources available.
Session FR2.M2
FR2.M2.1: Prompt-Driven Building Footprint Extraction in Aerial Images With Offset-Building Model
Kai Li, Yupeng Deng, Yunlong Kong, Diyou Liu, Jingbo Chen, Yu Meng, Junxian Ma, Chenhao Wang, Chinese Academy of Sciences, China
FR2.M2.2: IMPROVED REMOTE SENSING ECOLOGICAL INDEX FOR ENHANCED TIME SERIES STABILITY
Jian Guo, Ran Kang, Tianhe Xu, Hermann Kaufmann, School of space science and technology, Shandong University, China
FR2.M2.3: INTEGRATING SATELLITE AND STREET-VIEW IMAGES FOR URBAN SIDEWALK EXTRACTION
Yi Lin, Jinhua Yu, Junyan Ye, Weijia Li, Sun Yat-sen University, China
FR2.M2.4: CadNet: a Deep Learning Model with Enhanced Line Connectivity for Cadastral Boundary Delineation
Jeroen Grift, Claudio Persello, Mila Koeva, University of Twente, Netherlands
FR2.M2.5: ZESHOT-VQA: ZERO-SHOT VISUAL QUESTION ANSWERING FRAMEWORK WITH ANSWER MAPPING FOR NATURAL DISASTER DAMAGE ASSESSMENT
Ehsan Karimi, Maryam Rahnemoonfar, Lehigh University, United States
Resources
No resources available.