基于可见光波段的城市航空影像植被提取

Vegetation Extraction in Urban Aerial Image on the Basis of Visible Light Wave

指出了通过遥感技术提取植被信息已经是植被提取的主要方式,而植被指数是遥感技术植被提取的重要手段。植被在近红外波段有一个反射峰值,根据这一特性,植被指数一般都包含近红外波段。由于航空摄影一般都只搭载仅包含可见光波段的数码相机,所以需要设计出仅依赖可见光波段的波段指数来提取植被信息。试验比较了几种主要的可见光波段指数方法,通过比较其效果发现,航空影像植被指数跟绿波段和蓝波段的差异较为相关,而跟红波段相关性小。进而提出了一种加强绿波段和蓝波段差异的植被指数,试验结果证明:提取的植被效果很好,可以作为航空影像植被提取的一个有效方法。

This paper pointed out that extracting vegetation information through remote sensing was a main way of vegetation information extraction, and vegetation index was an important means of extracting vegetation information through remote sensing. Vegetation had a reflection peak in near-infrared wave band, according to the characteris tics, vegetation index generally contained near-infrared wave band. As aerial photography only carried visible light wave band digital camera, we needed to design a vegetation index relying on visible light band to extract vegetation in- formation. In this paper, we conducted a experiment comparing several main visible light wave band vegetation in- dex, through which we found that vegetation index is related with the difference between green band and blue band, and rarely related with the red band. So we presented a vegetation index enhancing the difference between green band and blue band, which was proved a effective way from exoeriment.