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.
曹广真, 金亚秋. 用于Landsat ETM+和ERS-2 SAR图像融合对城区地物特征分类的BP-ANN/GA混合算法[J]. 电子与信息学报, 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. , 2006, 28(7): 1153-1159 .
2006, Vol. 28 
