摘要
简述了遥感影像融合的过程,并利用SPOT5的全色和多光谱影像在Envi软件里采用IHS、GramSchmidt、Brovey和Color Normalized(CN)的融合算法进行融合,然后对几种影像融合的结果进行定性定量的评价分析。分析的结果表明:与原多光谱相比,HIS融合方法的清晰度和信息的丰富度最高;Gram-Schmidt的光谱保真度和相关度最佳,清晰度和信息的丰富度也仅次于HIS融合结果;Brovey和CN的融合算法是最差的,但是在凸显植被和水体地物时Brovey和CN有优势。总而言之对于不同地物类型,每种融合方法具有各自的优势和限制,所以应根据不同的用途选择最佳的融合算法。
utilizing HIS, Gram - Schmidt, Brovey and CN fusion methods fused SPOT5 panchromatic and multi spectral image in ENVI software. Then analysis and evaluation of several fused images are qualitative and quantitative, the results showed that： compared with the original multi spectral, the HIS method fused image is detail information fidelity, more correlation and the best information; Spectral fidelity Gram - Schmidt is the best, meanwhile in details, correlation and information is second only to HIS. Fused image of Brovey and CN is not the most ideal. But Brovey and CN have the advantage to highlight the features of vegetation and water. In a word, each fusion methods have their own advantages and limitations to different type Key words：
出处
《云南地理环境研究》
2013年第6期8-13,共6页
Yunnan Geographic Environment Research
基金
云南省应用基础研究面上项目"基于MODIS数据的云南省干旱遥感动态监测研究"(2010ZC073)
