摘要
混合像元是遥感领域研究的热点,混合像元的问题若得不到很好的解决,将会给遥感的后续应用研究带来较大的误差。本文简要介绍目前国内混合像元的主要分解方法:有线性光谱混合模型、非线性光谱混合模型、模糊监督分类法和神经网络模型分类法,并对其优缺点进行了简要说明。
Mix element is a hot spot in the domain of remote sensing. Being failed to solve the mix element will bring about big errors in the following applied research of the remote sensing. This article briefly introduces main decomposition method of the present domestic mix element.There are linear spectrum mix model, the non- linear spectrum mix model, the fuzzy surveillance classification and the neural network model classification. And then it explains their advantages and shortcomings.
出处
《林业科技情报》
2007年第1期2-3,共2页
Forestry Science and Technology Information
关键词
遥感
混合像元
分解
模型
综述
remote sensing
mix element
decomposition
model
summary
