Multisensor fusion through fuzzy reasoning. Application to land-cover classification using ERS-1/JERS-1 SAR composites

被引：0
|
作者：
Solaiman, B [1 ]
Pierce, LE [1 ]
Kellndorfer, JM [1 ]
Mouchot, MC [1 ]
Ulaby, FT [1 ]
机构：
[1] ENST Br, Dept Image & Traitement Informat, F-29285 Brest, France
来源：
IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT | 1998年
关键词：
D O I：
10.1109/IGARSS.1998.691392
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper, fuzzy-based multisensor data fusion is studied and an iterative fuzzy classifier is proposed. 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-1/JERS-1 SAR composites is shown to very promising.
引用
收藏
页码：1320 / 1322
页数：3
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