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在本文中讨论了气象卫星ＮＯＡＡ的ＡＶＨＲＲ数字图像及陆地卫星ＴＭ数字图像植被信息表达的 问题。对于ＡＶＨＲＲ数字图像可以通过定义绿度的方法，找到方便而简洁的植被类型空间分布的彩 色表达子集。ＴＭ数字图像的各波段植被信息丰富，缨帽变换可以有效地集中这些植被信息，使用 该变换的前三个组份能重构出植被的空间分布。对于有严重阴影的山区，可考虑先行比值变换， 再做缨帽变换来提取植被分布的信息。
In this paper, we discuss the problem of AVHRR digital images of meteorological satellites NOAA and vegetation information representation of terrestrial satellite TM digital images. For AVHRR digital images, we can find a convenient and concise subset of color representation of the spatial distribution of vegetation types by defining the green degree. Vegetation information in each band of TM digital images is rich, and cap tassel transformation can effectively concentrate the vegetation information. The first three components of the transform can reconstruct the spatial distribution of vegetation. For mountainous areas with severe shading, we can consider the ratio conversion first and then the tassel cap transformation to extract the vegetation distribution information.