Title :
An automatic bridge detection technique for high resolution SAR images
Author :
Wang, Guiting ; Huang, Shan ; Jiao, Licheng
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi´´an, China
Abstract :
In this paper, an approach for detecting bridges over water bodies from high resolution SAR images is presented. It consists of two steps: water extraction and bridge detection. A method based on porosity combined with an edge mending algorithm utilizing canny edges is used to extract water bodies firstly. By considering the ubiety of bridges and water bodies, the candidate bridge regions are detected. Then the candidate bridge regions are confirmed on the basis of the geometric characteristics of bridges. Finally bridges are detected in confirmed bridge regions according to geometric characteristics of bridges and water extraction result. The proposed approach has been tested with SAR images that have a spatial resolution of 1 m. The experimental results show that our method can detect bridges effectively.
Keywords :
feature extraction; image resolution; object detection; radar imaging; radar resolution; synthetic aperture radar; automatic bridge detection technique; bridge geometric characteristics; edge mending algorithm; high-resolution SAR images; synthetic aperture radar; water body extraction; Bridges; Data mining; Image edge detection; Image recognition; Image resolution; Image segmentation; Remote sensing; Rivers; Roads; Water; Classification; line detection; porosity;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374121
