摘要
基于TM遥感影像,提取研究区内植被专题信息,通过对TM多光谱影像进行K-T变换,得到亮度、绿度、湿度3个新的分量,计算各组分分量和归一化植被指数NDVI的相关系数,从而进行波段组合,将其分类结果与K-T变换基础上分类结果、以及原始图像基础上分类结果进行比较。分析表明,波段的合成与K-T变换均能提高遥感影像分类精度,并且波段组合基础上植被分类与信息提取效果良好,精度更高。
The vegetation information in study area was extracted based on TM remote sensing images. Through K-T transformation, the green- ness, brightness, wetness were obtained. The correlation coefficient of components and NDVI for bands combination were calculated, the results of its classification with the classification results after k-t transformation were compared, as well as the classification results of the original image. Analysis showed that the bands combination and K-T transformation can improve the precision of remote sensing image classification, and the re- sult of extracting the vegetation information based on bands combination is good, the precision is higher.
出处
《安徽农业科学》
CAS
2013年第14期6569-6571,共3页
Journal of Anhui Agricultural Sciences
