Title :
Road damage information extraction using high-resolution SAR imagery
Author :
Chenrong Fu ; Yan Chen ; Ling Tong ; Mingquan Jia ; Longfei Tan ; Xiaonan Ji
Author_Institution :
Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Road is a great part of transportation, emergency response and disaster relief, the monitor and real-time evaluation of the state of road are always important for the rescue works after disaster. SAR has some advantages of all-weather and all-time, which can be well adapted to disaster conditions. Until now the extraction of road damage information has been studied more in optical remote sensing, while less in SAR images. Base on the researches in optical and the studies of road information extraction in SAR, we explored the road damage information extraction in this paper, and proposed a new method of road damage information extraction.
Keywords :
condition monitoring; disasters; emergency services; feature extraction; geophysical image processing; image resolution; optical images; radar imaging; remote sensing by radar; roads; synthetic aperture radar; disaster relief; emergency response; high-resolution SAR imagery; optical remote sensing; rescue works; road damage information extraction; road state evaluation; Earthquakes; Feature extraction; Image edge detection; Indexes; Information retrieval; Roads; Synthetic aperture radar; DMFF; SAR; road damage; road extraction;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946812
