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植被指数和纹理特征在影像解译中的应用
引用本文:宫丽玮,闫利.植被指数和纹理特征在影像解译中的应用[J].北京测绘,2014(1):91-95.
作者姓名:宫丽玮  闫利
作者单位:武汉大学 测绘学院,湖北武汉,430079;武汉大学 测绘学院,湖北武汉,430079
摘    要:以QuickBird影像为例,分别分析了植被指数和纹理特征两大解译标志,植被指数主要介绍了比值植被指数、归一化植被指数、修正型土壤调整植被指数、差值植被指数四种,纹理特征主要基于灰度共生矩阵进行分析,并通过对比分类实验验证了这两大解译标志在遥感影像分类中的作用。

关 键 词:植被指数  纹理特征  解译标志  分类

Application of Vegetation Index and Texture Features in Image Interpretation
GONG Li-wei,YAN Li.Application of Vegetation Index and Texture Features in Image Interpretation[J].Beijing Surveying and Mapping,2014(1):91-95.
Authors:GONG Li-wei  YAN Li
Institution:(School of Geodesy and Geomatics in Wuhan University, Wuhan Huhei 430079, China)
Abstract:With Quick Bird image as an example, the two interpretation signs vegetation index and texture features are re spectively analyzed. Four kinds of vegetation indexes are mainly introduced, Ratio Vegetation Index, Normalized Differ ence Vegetation Index, Modified Soil Adjusted Vegetation Index, and Difference Vegetation Index. Texture features are analyzed based on gray level cooccurrence matrix. And through comparing the classification results, verify the effect of these two interpretation signs in remote sensing image classification.
Keywords:vegetation index  texture feature interpretation sign classification
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