光谱角法在ASTER影像土地利用分类中的应用

Study of land use classification using SAM from ASTER data

为了验证光谱角法(SAM)对ASTER影像分类效果,本文对SAM分类的原理进行了阐述和分析,采用了SAM方法以ASTER遥感影像数据为数据源对泸沽湖地区的土地利用进行分类研究,并对分类精度进行了分析。研究结果表明SAM方法用于ASTER数据是一种有效的分类方法,对提高ASTER影像分类精度具有重要的意义。

In order to verify the effect of Spectral Angel Mapper（ SAM）on ASTER image, in the paper, the principle of SAM classification and analysis were elaborated. SAM was applied for Lugu Lake area in land use classion using ASTER data. At last, classification accuracy was analyzed. The resuhs showed that SAM is an effective method from ASTER remote sensing image to classify and play an important part in improving image classification accuracy.