基于小波变换的模糊混合多光谱图像融合方法

T. Zaveri, Ishit Makwana, M. Zaveri
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引用次数: 1

摘要

在大多数标准的泛锐化方法中,观察到在最终的泛锐化图像中出现颜色失真。在遥感应用的图像分析中,光谱信息起着重要的作用,由于光谱信息的颜色失真,会影响图像的分析。本文提出了一种基于小波变换的模糊混合多光谱图像融合方法,该方法在光谱保真度和空间保真度之间提供了一种新的折衷方案,并保留了更多的细节光谱和空间信息。提出了新的基于模糊的混合图像融合规则。将该方法应用于多幅配准的全色和多光谱图像,并使用标准图像融合参数对仿真结果进行了比较。仿真结果还与五种不同标准和最近提出的潘锐化方法进行了比较。仿真结果表明,与先前报道的方法相比,该算法保留了更好的空间和光谱信息以及更好的视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy based hybrid multispectral image fusion method using DWT
In most of the standard Pan-sharpening methods, it is observed that color distortion appears in the final Pansharped image. In the area of image analysis in remote sensing applications, spectral information plays an important role and due to the color distortion, image analysis may get affected. In this paper, a fuzzy based hybrid multispectral image fusion method using wavelet transform is proposed which provides novel tradeoff solution between the spectral and spatial fidelity and preserves more detail spectral and spatial information. New fuzzy based hybrid image fusion rules are also proposed. Proposed method is applied on several registered Panchromatic and Multispectral images and simulation results are compared using standard image fusion parameters. The simulation results of proposed method are also compared with five different standard and recently proposed Pan sharpening methods. It has been observed from simulation results that the proposed algorithm preserves better spatial and spectral information and better visual quality as compared to earlier reported methods.
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