彩色空间变换在DEM与遥感影像复合中的应用研究  

Application of the Color Transformation to DEM and Remotely Sensed Data Merging

作　　者：梁伟[1] 杨勤科[1] 

机构地区：[1]西北农林科技大学水土保持研究所

出　　处：《水土保持通报》2006年第6期59-62,共4页Bulletin of Soil and Water Conservation

基　　金：区域水土流失模型试验研究(黄委会项目第四专题;2004SZ01-04);水土流失动态监测与评价关键技术("十一五"国家科技支撑计划项目;2006BAD09B05;西北农林科技大学科研专项"黄土高原地形复杂区土地利用信息提取方法研究"

摘　　要：非遥感数据与遥感数据复合是提高遥感影像解译精度的重要方法之一。以延河流域1997年TM影像和1∶5万DEM为数据基础,在遥感影像处理软件ERDAS IMAGINE 8.4支撑下,研究了遥感数据与非遥感数据的复合方法。研究表明,利用彩色空间变换能取得较好的效果。把遥感影像从RGB颜色模式通过彩色空间变换变换到IHS颜色模式,利用DEM代替IHS模式的色度(H)分量并通过逆变换变回到RGB模式。变换后各地类间颜色对比度增大,有利于监督分类中分类模板的建立和提高分类精度。Merging remotely sensed data and non-remotely sensed data is one of the important methods of improving the interpretation accuracy. The attributes of the RGB and IHS modes and color transformation theory are discussed. The TM images of the Yanhe basin are taken for instance, and the merging method of remotely sensed data and non-remotely sensed data has been studied with the support of ERDAS IMAGINE. Firstly, the TM image is transformed from the RGB mode to the IHS mode. Secondly, the H component of the IHS mode is replaced with the DEM, and then the components of I and S are stretched. Thirdly, they are transformed to the RGB mode. The experiments indicate that the method replacing the H component of the IHS mode with DEM is better for supervised classification, and the supervised classification accuracy of the merging data is 6 % higher than that of the normal merging data.

关 键 词：遥感 RGB IHS 彩色空间变换 

分 类 号：P237[天文地球—摄影测量与遥感]