By comparison of k - l change and k - t change , this paper thinks tasseled cap change can separate vegetation from soil better 比较cbers - 01图像k - l变换和k - t变换的两个主要成分,发现缨帽变换能较好地分离土壤和植被。
2.
While the apsheron battalion was marching by , miloradovitch , a red - faced man , wearing a uniform and orders , with no overcoat , and a turned - up hat with huge plumes stuck on one side , galloped ahead of them , and saluting in gallant style , reined up his horse before the tsar 当阿普舍的一营人走过的时候，面色绯红的米洛拉多维奇没有披军大衣，穿着一身制服，胸前挂满了勋章，歪歪戴着一顶大缨帽，疾速地向前驰骋，在皇帝面前猛然勒住战马，英姿勃勃地举手敬礼。
3.
After analysis of tm / etm + data ' s advantage over the forest change detection , tasseled cap transformation , principal component analysis and normalized difference vegetation index were chosen to enhance the vegetation spectral information . expert classification system was adopted to extract the main tree species in the littoral shelter forest 在分析etm +数据在森林资源监测中的优势的基础上，通过缨帽变换、主成分分析和植被指数法增强植被光谱信息，结合专家分类系统对沿海防护林主要树种进行提取。
4.
On the basis of geometric correction for remote sensing images data , detailed character analysis was conducted for the tm images . several image transformations which are linear scale transformation , ratio processing , principal components transformation , tasseled - cap transformation and minimum noise fraction rotation ( mnf transformation ) were then implemented 在对研究区数据进行几何精校正的基础上，对tm数据进行了详细的特征分析，并对其进行了有利于植被信息提取的几种图像变换：线性拉伸、比值增强、主成分变换、缨帽变换以及最低噪声分离变换( mnf变换) 。
