%0 Journal Article
%T A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+ and ERS-2 SAR<br>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
%A Cao Guang-zhen Jin Ya-qiu
%A <br>曹广真
%A 金亚秋
%J 电子与信息学报
%D 2006
%I 
%X 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.
%K BP-ANN/GA<br>图像融合
%K 地表分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=00EEEF62A6737B26&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=DF92D298D3FF1E6E&sid=09D7E2FA8227CA7B&eid=545EC3172B3789BC&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11