Multi-sensor decision level image fusion based on fuzzy theory and unsupervised FCM

被引：2

作者：

Wang Yi ^{[1
]}

Chen Wei ^{[1
]}

Mao Shiyi ^{[1
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100083, Peoples R China

来源：

REMOTE SENSING OF THE ENVIRONMENT: 15TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA | 2006年 / 6200卷

关键词：

decision level fusion; fuzzy logic; multi-sensor image fusion; unsupervised FCM;

D O I：

10.1117/12.681719

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

We present a multi-sensor decision level image fusion algorithm based on fuzzy theory. The main interest of this method is its high speed classification and efficient fusion of complementary information. FCM classifiers are used for classification of each sensor image, and the classification results are fused by our fusion rule. The originality of this work is to define the fusion rule for multi-sensor image classification. Applications to SAR, infrared and multi-spectral image fusion produce interesting results.

引用

页数：7

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