摘要
采用IHS变换、Brovey变换、PCA变换、Gram-Schmidt变换、CN变换和小波变换等遥感影像融合方法,对松花坝水源区2002年Landsat 7 ETM+多光谱数据与全色波段进行融合,并结合影像的光谱统计参数选取相应评价指标,对这些方法进行评价。结果表明,6种融合方法均能不同程度地提高影像质量,源于同一传感器的不同分辨率影像融合能够有效避免异源传感器影像融合所常见的实相及校正误差,PCA变换效果最佳。
Remote sensing image fusion methods, such as HIS, Brovey, PCA, Gram-Schmidt, CN and Wavelet, were employed in the fusion of Landsat7 ETM ＋ multi-spectrum data and panchromatic band of 2002 at Songhua Dam water source area. These methods were evaluated according to images spectral statistical parameters and evaluation indexes. The results showed that all the six fusion methods could improve the quality of images in different level, only because image fusion of different resolution were from the same sensor which could avoid visual interpretation and rectification in accuracy, it was considered that methods of PCA could achieve the best effect.
出处
《林业调查规划》
2012年第6期22-25,29,共5页
Forest Inventory and Planning
基金
水利部公益性行业项目"高原盆地城市水源地保护和恢复技术研究"(201101042)
关键词
ETM+遥感影像
融合
评价指标
松花坝水源区
ETM ＋ remote sensing image
fusion
evaluation index
Songhua dam water source area
作者简介
董金义（1986-），男，云南保山人，硕士研究生。主要研究方向为乏维GIS和遥感技术应用。Email：dongjinyi@163．com．
