一种基于Hilbert振动分解的泛锐化混合方法

Nidhi Saxena, K. K. Sharma
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引用次数: 2

摘要

Pansharpening方案利用全色(PAN)图像提高了多光谱(MS)图像的空间和光谱分辨率。提出了一种基于Hilbert振动分解(HVD)的混合泛锐化方法。在该方法中,利用HVD将MS和PAN图像按能量递减的顺序分解成许多瞬时幅值和频率分量。利用MS和PAN图像分解中能量最高的第一分量的瞬时幅值,利用pansharpening模型生成pansharpening图像。在视觉感知和客观度量方面的实验结果表明,与现有方案相比,所提出的融合方案提高了光谱和空间质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid approach for pansharpening using Hilbert vibration decomposition
Pansharpening scheme improves the spatial and spectral resolution of the multispectral (MS) images using the Panchromatic (PAN) image. In this paper, a new Hybrid pansharpening approach using Hilbert vibration decomposition (HVD) is proposed. In the proposed method both the MS and PAN images are decomposed into many instantaneous amplitudes and frequency components in the decreasing order of energy using the HVD. The instantaneous amplitude of the first component (having highest energy) in the decomposition of the MS and PAN images are used to generate the pansharpened image using pansharpening model. Experimental results of the proposed technique in terms of both visual perception and objective metrics demonstrate that the proposed fusion scheme has improved spectral and spatial quality as compared to the existing schemes.
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