DocumentCode :
484387
Title :
SAR Image Fusion in Multi Sensor Context for Small Urban Area Detection
Author :
Gouinaud, Christophe
Author_Institution :
UMR 6158 CNRS, LIMOS-ISIMA, Aubiere
Volume :
3
fYear :
2008
fDate :
7-11 July 2008
Abstract :
The purpose of this work is to provide new fusion methods adapted to multi sensor SAR use for urban area segmentation. We explain first backscattering of radar signal from urban object and characterize variation due to sensors characteristics. Then, we propose two new data fusion methods suitable for radar images. The first one will use similar response to enhance quality of building backscattering and the second one will use two images to calibrate a statistical scheme based on the differences in backscattering from speckled area to urban area. We will show the results of our work applied on tropical areas.
Keywords :
backscatter; building; geophysical signal processing; geophysical techniques; image fusion; image segmentation; radar imaging; radar signal processing; remote sensing; sensor fusion; synthetic aperture radar; building backscattering; data fusion method; image fusion; multi-sensor SAR image; multi-sensor data fusion algorithm; radar image; radar signal processing; sensor characteristics; synthetic aperture radar; urban area detection; urban area segmentation; urban object; Backscatter; Image fusion; Image segmentation; Image sensors; Radar imaging; Rough surfaces; Sensor fusion; Sensor phenomena and characterization; Surface roughness; Urban areas; SAR; fusion; image processing; urban;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779518
Filename :
4779518
Link To Document :
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