基于小波变换的多传感器图像融合优化算法

Cheng Ying
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引用次数: 0

摘要

提出了一种基于小波变换的图像融合优化算法。该算法旨在解决同时保留空间信息和频谱信息的问题。首先通过小波变换对多光谱图像进行低频增强,对高分辨率图像进行高频增强;然后,它把它们融合在一起。该方法对传统的小波变换融合方法进行了优化。通过实验将不同分辨率的SAR和TM图像数据合并到同一目标上,结果表明该方法在保留主动光谱信息的同时减少了遮挡效应。它提供了一个更令人满意的融合结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimal Algorithm of Multi-sensor Image Fusion Based on Wavelet Transform
This paper proposes a wavelet based optimal algorithm for image fusion. The algorithm aims at solving problem of preserving spatial and spectrum information at the same time. First it enhances respectively low frequency of multi spectral image and high frequency of high resolution image through wavelet transform. Then, it fuses them. So this approach optimizes traditional wavelet transform fusion method. Through the experiment merging images data of different SAR and TM image to the same object from different resolution images data, the result shows this approach reduces blocking effects while holding actively spectrum information. It provides a more satisfactory fusion outcome.
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CiteScore
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