摘要
提出了用Ｂ－Ｐ神经网络实现多波段遥感图像监督分类的方法．给出了用Ｂ－Ｐ神经网络对４种农作物的４波段遥感图像监督分类实例．结果表明：与传统的分类法相比，在特征提取相对较少情况下。
A method of supervised classification of multispectral remote sensing image was suggested using B P neural network. An example of supervised classification of 4 spectral remote sensing images for 4 crops was described by this method. The results show that even if the feature extractions are fewer than the traditional classification, the classification of multispectral remote sensing image tallys with the cases.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
1998年第2期153-156,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金
关键词
多波段
遥感图像
图像监督分类
神经网络
multispectral, remote sensing image, supervised classification of image, neural network, B P algorithm.
