DocumentCode :
29179
Title :
Building Change Detection in Multitemporal Very High Resolution SAR Images
Author :
Marin, Carlo ; Bovolo, Francesca ; Bruzzone, Lorenzo
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
Volume :
53
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
2664
Lastpage :
2682
Abstract :
The increasing availability of very high resolution (VHR) images regularly acquired over urban areas opens new attractive opportunities for monitoring human settlements at the level of individual buildings. This paper presents a novel approach to building change detection in multitemporal VHR synthetic aperture radar (SAR) images. The proposed approach is based on two concepts: 1) the extraction of information on changes associated with increase and decrease of backscattering at the optimal building scale and 2) the exploitation of the expected backscattering properties of buildings to detect either new or fully demolished buildings. Each detected change is associated with a grade of reliability. The approach is validated on the following: 1) COSMO-SkyMed multitemporal spotlight images acquired in 2009 on the city of L´Aquila (Italy) before and after the earthquake that hit the region and 2) TerraSAR-X multitemporal spotlight images acquired on the urban area of the city of Trento (Italy). Results demonstrate that the proposed approach allows an accurate identification of new and demolished buildings while presents a low false-alarm rate and a high reliability.
Keywords :
radar detection; radar imaging; radar resolution; synthetic aperture radar; COSMO-SkyMed multitemporal spotlight images; TerraSAR-X multitemporal spotlight images; backscattering properties; building change detection; multitemporal VHR synthetic aperture radar images; multitemporal very high resolution SAR images; Backscatter; Buildings; Image resolution; Sensors; Synthetic aperture radar; Urban areas; Building change detection; change detection; multitemporal images; remote sensing; synthetic aperture radar (SAR); very high geometrical resolution images;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2014.2363548
Filename :
6948368
Link To Document :
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