基于神经网络的遥感图像分类

Remote Sensing Image Classification Based on Neural Network

针对传统的遥感图像分类方法分类精度低的缺点 ,提出了一种基于神经网络的分类方法。实验结果表明 ,这种基于神经网络的分类器经过训练后 ,可应用于遥感图像的分类 。

The main drawback of traditional remote sensing image classification methods is its low precision.A neural network based remote sensing image classification technique has been presented.Experimental results show that the neural network classification system can be used in remote sensing image classification, and its classification precision is superior to that of the conventional maximum likelihood.