A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+ and ERS-2 SAR

Cao Guang-Zhen; Jin  Ya-Qiu

Volume 28 Issue 7

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(7): 1153-1159

Cao Guang-Zhen, Jin Ya-Qiu. A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+ and ERS-2 SAR[J]. Journal of Electronics & Information Technology, 2006, 28(7): 1153-1159.

Citation:

Cao Guang-Zhen, Jin Ya-Qiu. A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+ and ERS-2 SAR[J]. Journal of Electronics & Information Technology, 2006, 28(7): 1153-1159.

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A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+ and ERS-2 SAR

Received Date: 2004-11-15
Rev Recd Date: 2005-04-25
Publish Date: 2006-07-19

Abstract

Abstract

A hybrid algorithm of the BP-ANN/GA (Back Propagation Artificial Neural Network and Genetic Algorithm) is developed to optimize the initial weights and make fast convergence of the BP-ANN. This algorithm is applied to classification of urban terrain surfaces with fused data of Landsat ETM+ and ERS-2 SAR. An example of the Shanghai Pudong area using both the Landsat ETM+ and ERS-2 SAR image data well demonstrates the classification speed and accuracy of the algorithm.

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References

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