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SPOT-5全色与多光谱遥感影像融合方法比较
Fusion Algorithms Comparison of SPOT-5 PAN and Multi-spectral Remote Sensing Images
【摘要】 随着遥感技术的发展,SPOT-5卫星数据以其优越的性价比,得到了较多的应用.在阐述遥感图像融合原理的基础上,以SPOT-5全色与多光谱影像为数据源,应用IHS变换、PCA融合、Brovey变换、乘积变换和HPF融合等5种比较常用的融合方法,从提高空间分辨率和保持原始图像光谱信息的角度进行了分析评价,探讨最适合于SPOT-5图像的融合方法.结果表明:在各种融合方法中,HPF与IHS融合的效果最好.
【Abstract】 With the development of remote sensing,the application of SPOT-5 data are extensive for its advantages.With the principles of image fusion methods,this paper focused on finding a proper method for fusing the panchromatic and multi-spectral images of SPOT-5 with IHS transformation,PCA resolution,Brovey transformation,multiplicative and HPF resolution.Results of different fusion methods were analyzed in terms of special resolution enhancement and spectral information maintenance.The results showed:HPF and IHS resolution had the best quality.
【Key words】 remote sensing image; image fusion; IHS transformation; PCA resolution; Brovey transformation; multiplicative transformation; HPF resolution;
- 【文献出处】 北华大学学报(自然科学版) ,Journal of Beihua University(Natural Science) , 编辑部邮箱 ,2011年02期
- 【分类号】S127
- 【被引频次】12
- 【下载频次】311