基于小波变换和Haar变换的图像融合:增强Ortophotos中Ikonos图像的空间分辨率

Rubén Javier Medina Daza, E. Upegui
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引用次数: 4

摘要

本文的目的是开发和评估两种方法,这些方法可以在不显著损失光谱分辨率的情况下提高空间分辨率,使用Ikonos图像和ortopphoto。利用RGB-IHS变换和小波实现小波TRWH变换(Fast Haar变换)和Haar变换。利用Matlab中预定义的小波变换,结合ARSIS技术,对多光谱图像(Im)和直像图像(Io)的强度分量进行融合,分别生成新的强度1。执行逆变换的hs - rgb,从而获得一个多光谱图像。最后用数理统计指标CC、ERGAS、RSE和Qu对所得结果进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image fusion using the Wavelet TRW and Haar transforms: Enhancement of spatial resolution for the Ikonos images from Ortophotos
This article has as a purpose to develop and assess two methodologies that allow to enhance spatial resolution without significant loss of the spectral resolution, with an Ikonos image and a Ortophoto. Using the RGB-IHS transform and the wavelet implementation of the Wavelet TRWH transform (Fast Haar transform) and Haar. Applying the fusion to the intensity components of the multispectral image (Im) and the ones from the ortophoto (Io) through the Wavelet haar transform predefined in Matlab together with the ARSIS technique, a new intensity l is generated respectively. To perform the inverse transforms IHS-RGB and thus obtain an multispectral image. Finally the obtained results are shown with the mathematical-statistical indexes CC, ERGAS, RSE and Qu.
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