Simultaneous image fusion and reconstruction using wavelets applications to SPOT + LANDSAT images

Jorge Núñez , Xavier Otazu , Octavifors , Albert Prades
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引用次数: 26

Abstract

In this paper we present a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of two images. The images to merge are a high-resolution panchromatic image and a low-resolution multispectral image. The method consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. We applied the method to merge SPOT and LANDSAT (TM) images. The current data fusion methods may not be satisfying because they can distort the spectral characteristics of the multispectral data. The technique presented here is clearly better than the standard IHS and LHS mergers in preserving both spectral and spatial information. The fusion of reconstructed images and the application of the technique to astronomical images are commented on.

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同时图像融合和重建使用小波应用于SPOT + LANDSAT图像
本文提出了一种基于多分辨率小波分解的图像合并和数据融合技术。要合并的图像是高分辨率全色图像和低分辨率多光谱图像。该方法是将高分辨率图像的小波系数加到多光谱(低分辨率)数据中。我们将该方法应用于SPOT和LANDSAT (TM)图像的合并。目前的数据融合方法由于会使多光谱数据的光谱特征失真,可能会导致数据融合效果不理想。在保留光谱和空间信息方面,本文提出的技术明显优于标准的IHS和LHS合并。对重建图像的融合以及该技术在天文图像中的应用进行了评述。
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