Remote sensing image fusion based on adaptive RBF neural network

Authors:
Yun Wen Chen;Bo Yu Li
Affiliations:
Department of Computer Science and Engineering, School of Information Science and Engineering, Fudan University, Shanghai, China;Department of Computer Science and Engineering, School of Information Science and Engineering, Fudan University, Shanghai, China
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Year:
2006

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Abstract

With the availability of multi-sensor and multi-frequency image data from operational observation satellites, the fusion of image data has become an important tool in remote sensing image evaluation and segmentation. This paper presents a novel Radius Basis Function (RBF) neural network with some distinctive training strategies, which can integrate multiple information sources efficiently and exploit the potential advantages of each feature. Multi-scale features extracted from remote sensing images are evaluated adaptively and used for segmentation. Experimental results obtained on artificial and real data are both presented which demonstrate the effectiveness of our proposal.