多光谱和高光谱图像增强和融合的新变换技术

G. Yigitler, O. Ersoy, T. Ibrekei
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引用次数: 1

摘要

本文提出了一种开发多光谱/高光谱图像增强和融合算法的新方法。在目前用于图像增强的方法中,条带通常是单独处理的,这导致了相当大的失真。很多频带的信息量也没有得到很好的利用。这项工作的目的是更有效地利用现有的信息量,消除这种扭曲,并改善图像的外观。为了实现这一目标,我们使用变换技术开发了两种新的算法。在所开发的算法中,图像增强和图像融合被同时考虑
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New transform techniques for enhancement and fusion of multispectral and hyperspectral images
This paper presents a new approach to the development of multispectral/hyperspectral image enhancement and fusion algorithms. In approaches used up to now for image enhancement, the bands are typically processed separately, and this results in considerable distortion. The amount of information in many bands are also not very efficiently used. The objective of this work is to utilize the amount of information available more effectively, remove such distortions and to improve the appearance of the images. To realize this goal, we developed two new algorithms using transform techniques. In the resulting algorithms developed, image enhancement and image fusion are considered together
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