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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 |
Cao Guang-zhen Jin Ya-qiu |
The Key Laboratory of Ministry of Education for Wave Scattering and Remote Sensing Information, Fudan University, Shanghai 200433, China |
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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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Received: 15 November 2004
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