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

Yi Wang; Wei Chen; Shiyi Mao

doi:10.1117/12.681719

9 June 2006 Multi-sensor decision level image fusion based on fuzzy theory and unsupervised FCM

Yi Wang, Wei Chen, Shiyi Mao

Proceedings Volume 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China; 62000J (2006) https://doi.org/10.1117/12.681719
Event: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 2005, Guiyan City, China

Abstract

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.

Citation Download Citation

Yi Wang, Wei Chen, and Shiyi Mao "Multi-sensor decision level image fusion based on fuzzy theory and unsupervised FCM", Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000J (9 June 2006); https://doi.org/10.1117/12.681719

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