陆地卫星CCT数据压缩处理的研究

<正>数据压缩处理是利用电子计算机,对遥感图象进行模式识别的一项重要技术。本文应用Karhunen—Love变换与R型因子分析,对陆地卫星计算机兼容磁带的多光谱数据作了压缩处理。结果,在基本保持遥感信息量的情况下,使特征量由四维压缩成二维,因而就能在座标纸上作出点聚图,对事物加以识别与区分。从计算结果看来,R型因子分析比Karhunen—Loève变换似更理想。

A STUDY ON THE COMPRESSION PROCESSING OF THE CCT DATA GATHERED BY LAND SATELLITES

With the aid of electronic computers, data compression processing is an important technique used for recognizing the pattern of remote sensing images. In this paper, Karhunen-Loeve transformation and the R-Factor Analysis have been used in compression-processing the multi-spectrum data on the land satellite Computer Compatible Tape (CCT). As a result, with about 99% of the information being kept, the characteristic quantities can be compressed from four dimensions into two dimensions, so that a picture with clusters of dots can be made on a sheet of paper for recognizing and defining the objects.