The Fusion Process of RS(Remote Sensing) Data Based on Wavelet Neural Network

Li Ming Zhang; Xi Qing Zhao

doi:10.4028/www.scientific.net/AMR.605-607.2171

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607The Fusion Process of RS(Remote Sensing) Data...

The Fusion Process of RS(Remote Sensing) Data Based on Wavelet Neural Network

Abstract:

A wavelet network was constructed through multi-spectral, high-pixel wavelet decomposition of remote sensing image, which replaced the traditional neuron activation function with a nonlinear wavelet system. So we found a data fusion model. Multidimensional information fusion was to integrate the multi-source information characteristics of a high dimensional feature space. With the genetic search based on the natural selection, we combine effective evaluation of fusion accuracy.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

2171-2174

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.2171

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Online since:

December 2012

Authors:

Li Ming Zhang, Xi Qing Zhao

Keywords:

Fusion Process, Remote Sensing, Wavelet Neural Network (WNN)

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