节点文献
遥感图像数据融合方法与评价方法
Study on fusion and evaluation methods for remote sensing images
【摘要】 为了对比分析不同融合方法的融合效果,本文采用Brovey、Intensity-Hue-Saturation(IHS)、Principal com-ponent(PC)、Gram-Schmit和Wavelet融合方法对北京和三亚地区的两幅ETM+遥感影像进行融合。对于融合后的图像,采用衡量信息量的信息熵、标准差,衡量光谱保真能力的偏差指数和相关系数进行了融合效果评价。结果表明:Brovey方法融合后的图像在对原有波谱信息的保留上具有最大的优势,但是其空间信息的详细程度最差;Intensity-Hue-Saturation(IHS)方法融合后的图像,具有最大程度的空间细节信息,而对原光谱信息的保留能力最差。PC、Gram-Schmit以及Wavelet融合方法无论在空间信息的详细程度还是在对原图像光谱保真能力上,都相差不大,其融合效果非常接近。
【Abstract】 Different fusion methods such as Brovey,IHS,PC,Gram-Schmit and Wavelet were applied on two ETM+ images of Beijing and Sanya to evaluate the fusion effects.For the processed images,standard variation and information entropy were used to evaluate the spatial information.Bias index and correlation coefficient were used to evaluate spectral fidelity.The results showed that Brovey fusion method has the most advantage in spectral fidelity but has the lowest spatial information.In contrast,IHS fusion method has the most spatial information but lowest in spectral fidelity.PC,Gram-Schmit and Wavelet fusion methods have almost the same effects in terms of spatial information and spectral fidelity.
【Key words】 Fusion methods; information entropy; standard variation; bias index; correlation coefficient;
- 【文献出处】 河北农业大学学报 ,Journal of Agricultural University of Hebei , 编辑部邮箱 ,2010年01期
- 【分类号】TP751
- 【被引频次】11
- 【下载频次】453