自联想神经网络的遥感图象主分量提取
摘 要
提出了一种自联想神经网络的遥感图象主分量提取方法.这种方法可以应用于图象的压缩、特征提取和图象滤波中.实验结果表明:自联想神经网络算法简单、易于实现,其压缩效果与K-L变换相当.
关键词
Principal Component Extraction for Remote Sensing Image\nUsing Auto-Association Neural Network
() Abstract
A new method of principal component extraction for remote sensing image based on auto-association\nneural network is presented in this paper. The proposed method is applied to the image data compression, feature\nextraction and filtering. Experiments show that auto-association neural network for extracting the principal\ncomponents of the image is as good as the conventional K-L transform.
Keywords
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