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本文通过对遥感图像的处理和光谱特征信息的分析,应用ETM+影像数据和地面调查数据,研究了遥感数据处理技术在植被信息提取中的应用,尝试对高山峡谷区的森林资源调查提出较为完善的计算机图像处理技术和自动分类方法。对道孚县台站林场和麻孜林场地类的分类结果表明:运用TM453波段融合能够达到较好的图像增强效果;运用无监督分类方法提取森林面积能达到较高的分类精度;NDVI比RVI更能突出植被信息和消除山体阴影的影响。
In this paper, the remote sensing image processing and spectral feature information analysis, the application of ETM + image data and ground survey data to study the application of remote sensing data processing technology in vegetation information extraction, try to alpine valley area forest resources survey is more perfect Computer image processing technology and automatic classification methods. The results of classification of Dafu County forest farm site and Mazili forest site showed that the TM453 band fusion can achieve better image enhancement effect; unsupervised classification of forest area can be used to achieve higher classification accuracy; NDVI is higher than RVI Better highlight vegetation information and eliminate the effects of mountain shadows.