摘要
随着遥感影像融合技术的应用越来越广泛,影像融合不仅要求能够提高空间分辨率,更重要的是保持原有影像的光谱信息,减少失真。文章以两种具有代表性的融合算法(IHS变换与主成分变换)在ETM+影像中的分类应用为例,对两种算法的分类结果进行定性和定量的对比与分析。
With development of technology of RS image fusion, it has been applied widely. Fusion of RS image demands not only increasing its spatial resolution, but also keeping its spectral information so as to reduce distortion of RS images. Taking it for example that application of classification of ETM ＋ images based on two representational Fusing methods （ IHS transform and principal component analysis）, this paper discusses the experimental results through comparison and analysis.
出处
《山西科技》
2007年第4期50-52,59,共4页
Shanxi Science and Technology
关键词
遥感
融合
分类
IHS变换
主成分变换
RS
image fusion
classification
IHS transform
principal component analysis
