Title :
Bright line detection in COSMO-SkyMed SAR images of urban areas
Author :
Brett, P.T.B. ; Guida, R.
Author_Institution :
Surrey Space Centre, Univ. of Surrey, Guildford, UK
Abstract :
Bright lines are a characteristic feature of synthetic aperture radar (SAR) amplitude images of urban areas, and are commonly associated with man-made structures. In order to aid in the development of SAR applications using these features, an automated approach to bright line detection is proposed, based on scale-space ridge detection at a single scale, and using a naïve Bayesian classification step to select the ridge points corresponding to bright lines. The effectiveness of the technique is demonstrated by applying it to a COSMO-SkyMed image of L´Aquila, Italy.
Keywords :
geophysical image processing; image classification; object detection; radar imaging; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed constellation; SAR; bright line detection; naive Bayesian classification; scale-space ridge detection; synthetic aperture radar; urban areas; Bayesian methods; Buildings; Feature extraction; Remote sensing; Synthetic aperture radar; Urban areas;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764767