DocumentCode :
325583
Title :
Multisensor fusion through fuzzy reasoning. Application to land-cover classification using ERS-1/JERS-1 SAR composites
Author :
Solaiman, B. ; Pierce, L.E. ; Kellndofer, J.M. ; Mouchot, M.C. ; Ulaby, F.T.
Author_Institution :
Dept. Image et Traitement de l´´Inf., ENST de Bretagne, Brest, France
Volume :
3
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
1320
Abstract :
Fuzzy-based multisensor data fusion is studied and an iterative fuzzy classifier is proposed. The obtained results are given as a set of two maps: a thematic map, and a confidence map (a classification certainty map representing the degree of certainty in the thematic map). The application of this classifier using ERS-I/JERS-I SAR composites is shown to be very promising
Keywords :
fuzzy logic; geophysical signal processing; geophysical techniques; image classification; inference mechanisms; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; ERS-1; JERS-1; SAR image composite; SAR imaging; classification certainty; confidence map; fuzzy reasoning; geophysical measurement technique; image classification; iterative fuzzy classifier; land surface; land-cover classification; multisensor fusion; radar imaging; radar remote sensing; sensor fusion; synthetic aperture radar; terrain mapping; thematic map; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Image analysis; Image sensors; Laboratories; Physics computing; Satellites; Sensor fusion; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.691392
Filename :
691392
Link To Document :
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