TH1.R2.4

Context-Aware Change Detection With Semi-Supervised Learning

Ritu Yadav, Andrea Nascetti, Yifang Ban, KTH Royal Institute of Technology, Sweden
Session:
TH1.R2: Change Detection for Damage Assessment and Risk Prevention Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Thu, 20 Jul, 09:06 - 09:18 Pacific Time (UTC -8)
Session Chair:
Yifang Ban, KTH Royal Institute of Technology
Session Manager:
Shengjie Liu
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Session TH1.R2
TH1.R2.1: UNSUPERVISED GEOSPATIAL DOMAIN ADAPTATION FOR LARGE-SCALE WILDFIRE BURNED AREA MAPPING USING SENTINEL-2 MSI AND SENTINEL-1 SAR DATA
Puzhao Zhang, Yifang Ban, KTH Royal Institute of Technology, Sweden
TH1.R2.2: A MODULE FOR ENHANCING ACCURACY OF BUILDING DAMAGE DETECTION BY FUSING FEATURES FROM PRE AND POST DISASTER REMOTE SENSING IMAGES
Xuanchao Fu, The University of Tokyo, Japan; Toru Kouyama, National Institute of Advance Industrial Science and Technology, Japan; Wenhao Shen, Suomi Seki, The University of Tokyo, Japan; Ryosuke Nakamura, National Institute of Advance Industrial Science and Technology, Japan; Ichiro Yoshikawa, The University of Tokyo, Japan
TH1.R2.3: RAPID DAMAGE MAPPING IN AREAS OF CONFLICT BY MEANS OF SENTINEL-1 TIME SERIES: THE KYIV TEST CASE
Mattia Stasolla, Xavier Neyt, Royal Military Academy, Belgium
TH1.R2.4: Context-Aware Change Detection With Semi-Supervised Learning
Ritu Yadav, Andrea Nascetti, Yifang Ban, KTH Royal Institute of Technology, Sweden
TH1.R2.5: INSAR COUPLED WITH UAV-BASED INFRARED THERMOGRAPHY IN THE CONTEXT OF BRIDGE MONITORING
NURSENA KARA, Istanbul Technical University, Turkey; HUSEYIN ABDULLAH SISMAN, Akdeniz University, Turkey; ORKAN OZCAN, Istanbul Technical University, Turkey; OKAN OZCAN, Akdeniz University, Turkey; ESRA ERTEN, Istanbul Technical University, Turkey
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