陆地卫星TM数字图像与植被信息提取方法的研究

ON EXTRACTATION OF VEGETATION INFORMATION FROM LANDSAT TM DATA BASED UPON RATIOING AND PRINCIPAL COMPONENT ANALYSIS

研究了陆地卫星TM多波段数字图像子集的选取方法及其在植被研究中的应用.使用比值交换及Karhunen-Loe＇ve变换,可以有效地提取和集中植被信息.在主成分假彩色合成图像上,各个森林植被类型及其分布显现得非常清晰。

The application of landsat TM digital image on vegetation cover research is studied and the approaches of selecting a subset of a TM multi-image are discussed for enhancement by false-color compositing and ratioing. Vegetation cover informations are extracted successfully by ratioing and Karhunen-Loeve transform.