基于CBERS-02B星HR与CCD数据的喀斯特山区影像融合研究  

CBERS-02B Image Fusion Technology Research Of Karst Areas

作　　者：胡娟[1] 罗淼[2] 安裕伦[1] 

机构地区：[1]贵州师范大学地理与环境科学学院,贵州贵阳550001 [2]贵州师范大学数学与计算机科学学院,贵州贵阳550001

出　　处：《地理空间信息》2011年第1期22-24,111,共4页Geospatial Information

基　　金：贵州省科学技术基金资助项目(黔科合J字LKS[2009]19号)

摘　　要：喀斯特山区海拔高且相对高差大、地块破碎、地表覆盖类型多样,常年多云多雨,卫星遥感数据质量因此常受到严重影响。国产自主卫星CBERS-02B获取的高分辨率全色影像(HR)和多光谱(CCD)影像能更快捷、更方便地提供喀斯特山区遥感影像。采用HIS变换、PCA变换、HPF等图像融合方法,对CBERS-02B星HR和CCD影像进行融合对比实验研究,并对其均值、标准方差、信息熵、交叉熵、光谱真实性、平均梯度等指标进行比较分析与评价,探索喀斯特高原山区背景下的CBERS-02B星HR与CCD数据的最佳融合方法。In Karst mountain areas,the high altitudes and relatively elevation differences were large,land fragmentation severely and land cover types diversity,there always cloudy and rainy all year round,therefore,the quality of satellite remote sensing data has severely being affected.Self-made satellite CBERS-02B to obtain high-resolution panchromatic images(HR) and multi-spectral Charge-coupled Device(CCD) image can be more efficient and easier to provide remote sensing image of the Karst Mountains.In this paper HIS transform,PCA transform,HPF and other image fusion methods were used for the fusion comparative study of the CBERS-02B satellite HR and CCD image,and for the analysis and evaluation of its mean,standard deviation,entropy,cross entropy,spectral authenticity,deviation index,average gradient indicators,in order to explore the best fusion method of Karst mountains plateau CBERS-02B satellite HR and the CCD data in the background of the Karst mountains plateau.

关 键 词：CBERS-02B 喀斯特山区 图像融合 

分 类 号：P237.3[天文地球—摄影测量与遥感]