一种基于卡通纹理分解和压缩感知的泛锐化方法

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI:10.1109/IRANIANCEE.2017.7985339

Sadegh Najafzadeh, H. Ghassemian

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引用次数: 1

摘要

提出了一种基于卡通纹理分解和压缩感知的泛锐化方法。利用低分辨率多光谱和高分辨率全色图像的纹理，采用压缩感知方法重建高分辨率多光谱纹理。在WorldView-3和QuickBird卫星采集的两个数据集上进行了实验，从客观和视觉角度验证了该方法的有效性。

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A new pan-sharpening method based on cartoon-texture decomposition and compressed sensing

A novel pan-sharpening method based on cartoon-texture decomposition and compressed sensing is proposed in this paper. The textures of low resolution multispectral and high resolution panchromatic images are used to reconstruct the high resolution multispectral textures by employing the compressed sensing approach. Experiments on two data sets which are collected by WorldView-3 and QuickBird satellites show the effectiveness of the proposed method from the objective and visual perspectives.

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来源期刊

2017 Iranian Conference on Electrical Engineering (ICEE)

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