摘要
以连云港台北盐场为例,分析了盐田内各类实测的地物光谱特征;对2000年的遥感影像数据(ETM影像)进行大气校正和几何校正;再利用主成分融合技术,将多波段的ETM影像与对应的全色波段影像进行主成分融合,在此基础上进行盐田水体分类.实验表明,该方法的结果分类精度较高,与实地调查结果基本相符,且现场调查工作量大大减少.
With the Taibei salt refinery of Lianyungang City as an example, an analysis was made of the spectral characteristics of different kinds of substances detected in salt fields. In consideration of the atmospheric and geometric effect, the TM images for year 2000 of the salt fields were revised. Then the principal component analysis was performed by fusion of multiple spectral bands of the TM images with their panchromatic images, and based on which, the water bodies of the salt fields were classified. Experiment showed that with high precision of classification, the result of the method accorded well with that of the field investigation, and that the workload for field investigation could be greatly reduced.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2004年第5期519-522,共4页
Journal of Hohai University(Natural Sciences)
基金
江苏省社会发展项目资助计划(BS2001047)
关键词
主成分融合
盐田水体
遥感
光谱特征
principal component fusion
salt field water body
remote sensing
spectral characteristic
