BAYESIAN SUPER-RESOLUTION PANSHARPENING USING CONTOURLETS

被引：5

作者：

Amro, I. ^{[1
]}

Mateos, J. ^{[1
]}

Vega, M. ^{[2
]}

机构：

[1] Univ Granada, Dept Ciencias Computac & IA, E-18071 Granada, Spain

[2] Univ Granada, Dept Lenguajes Sistem Informat, Granada, Spain

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

pansharpening; super-resolution; contourlets; multispectral image; remote sensing; IMAGES; FUSION; QUALITY;

D O I：

10.1109/ICIP.2010.5652713

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Pansharpening is a technique that fuses a low resolution multispectral image and a high resolution panchromatic image, to obtain a multispectral image with the spatial resolution and quality of the panchromatic image while preserving spectral information of the multispectral image. In this paper, we present a new pansharpening method based on super-resolution and contourlet transform. The experimental results show that the proposed method not only enhances the spatial resolution of the pansharpened image, but also preserves the spectral information of the original multispectral image.

引用

页码：809 / 812

页数：4

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