DocumentCode :
1507086
Title :
A first step toward automatic interpretation of SAR images using evidential fusion of several structure detectors
Author :
Tupin, Florence ; Bloch, Isabelle ; Maître, Henri
Author_Institution :
Dept. TSI, Ecole Nat. Superieure des Telecommun., Paris, France
Volume :
37
Issue :
3
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
1327
Lastpage :
1343
Abstract :
The authors propose a method aiming to characterize the spatial organization of the main cartographic elements of a synthetic aperture radar (SAR) image and thus giving an almost automatic interpretation of the scene. Their approach is divided into three main steps which build the whole image interpretation gradually. The first step consists of applying low-level detectors taking the speckle statistics into account and extracting some raw information from the scene. The detector responses are then fused in a second step using Dempster-Shafer theory, thus allowing the modeling of the knowledge that there is about operators, including possible ignorance and their limits. A third step gives the final image interpretation using contextual knowledge between the different classes. Results of the whole method applied to different SAR images and to various landscapes are presented
Keywords :
Markov processes; geophysical signal processing; geophysical techniques; image classification; image processing; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; Dempster-Shafer theory; SAR; automatic interpretation; context; contextual knowledge; evidential fusion; geophysical measurement technique; image classification; image interpretation; image processing; land surface; model; radar imaging; radar remote sensing; several structure detectors; spatial organization; synthetic aperture radar; terrain mapping; Data mining; Detectors; Layout; Radar detection; Radar imaging; Roads; Satellites; Spaceborne radar; Synthetic aperture radar; Urban areas;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.763297
Filename :
763297
Link To Document :
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