混合像元分解模型综述  

A Review of Pixel Unmixing Models

作　　者：吕长春[1] 王忠武[1] 钱少猛[1] 

机构地区：[1]中国科学院遥感应用研究所,北京9718信箱100101

出　　处：《遥感信息》2003年第3期55-58,共4页Remote Sensing Information

摘　　要：介绍了五种混合像元分解模型 ,分别为线性模型、概率模型、几何光学模型、随机几何模型和模糊分析模型 ,并对其中几种常用模型的优缺点及其适用性进行总结讨论。In this paper five different types of pixel unmixing models are reviewed. There are: linear, probabilistic, geometric optical, stochastic geometric, and fuzzy models. A summary of the advantages and disadvantages of three most used models and their applicability is presented. Also, the similarity and difference between the models are analyzed.

关 键 词：遥感 混合像元分解 线性模型 概率模型 几何光学模型 随机几何模型 模糊分析模型 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]