摘要
本文选用了有蓝色波段和无蓝色波段两种遥感数据源,使用定量指标对各波段进行基本统计及分析,并计算各波段之间的联合熵、协方差、相关系数及最佳指数,确定四类遥感数据各自的最佳波段组合;并采用了几种融合方法将四种影像按照最佳波段组合融合,计算融合后影像与原始影像之间的相关系数,分析得到两类数据的最佳融合方法。
The two sorts of remote sensing data were used in this paper, which includes the data with blue band and the data without blue band. Each band was analyzed by criterion. The covariance, correlation and OIF of each band were counted in order to confirm the best band combination. The four images were fused by several methods according to the optimal bands combined. The correlation between the fused images and the original images is computed and the best fusion method to each sort of data is found. The result provides a good way for the combination of optimal bands of data and image fusion.
出处
《测绘科学》
CSCD
北大核心
2007年第3期72-74,87,共4页
Science of Surveying and Mapping
基金
国土资源部土地利用重点实验室开放基金项目(07-03)
关键词
遥感影像
最佳波段
联合熵
质量
multispectral remote sensing data
optimal bands combined
union entropy
quality