A hybrid algorithm of the BP-ANN/GA for classification of urban terrain surfaces with fused data of Landsat ETM and ERS-2 SAR

Authors:
Guangzhen Cao;Ya Qiu Jin
Affiliations:
Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education), Fudan University, Shanghai 200433, China;Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education), Fudan University, Shanghai 200433, China
Venue:
International Journal of Remote Sensing
Year:
2007

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Abstract

A hybrid algorithm of the back propagation artificial neural network and genetic algorithm (BP-ANN/GA) was developed to optimize initial weights and to enable fast convergence of the BP-ANN. This algorithm was applied to the classification of urban terrain surfaces with fused data of Landsat ETM+ and ERS-2 SAR. An example of the Shanghai Pudong area using both Landsat ETM+ and ERS-2 SAR image data demonstrates well the classification when applying our fusion algorithm.