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