一种快速评价图像融合技术性能的方法及其误差分析

Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412) Pub Date : 2003-05-20 DOI:10.1109/IMTC.2003.1208270

Qiang Wang, Yi Shen, Ye Zhang

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引用次数: 6

摘要

摘要图像融合正在成为图像处理领域的前沿技术之一。对不同的融合技术进行性能评估和分析是图像融合技术的重要组成部分。本文在去年的会议上提出了一种基于定量相关分析(QCA)的fmt方法，并利用流感模型对不同融合技术的性能进行了比较，使融合后的图像可以直接与原始图像进行比较，并且融合后的图像速度比传统的QCA方法更快。给出了该方法应用于典型高光谱图像(AI’iri)的模拟结果，并分析了该方法在高光谱图像(AI’iri)中所使用的高光谱图像误差

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A fast method to evaluate the performances of image fusion techniques and its error analysis

Absfracf - Image fusion is beconring one of tire IroHest tecltliigues in imuge processing. And llie performances waluafion mdliod tliat run conipure und analyze differeitf fusion teclmigues is an essential purr of image fusion teclmiques. In this paper, a fmt method hmed on llie quuntitaiiw CorreIaiion analysis (QCA), wliicli is proposed iri lastyear's conference, is dewloped Using flu mdlrod, tlie perfornrances of different fusion tecliwiqua can he compered direct& hosed on tlre originul inrages uiid the fused images niflr U faster speed tliarr llie old QCA nretlrod, especidy wlreir (he number of oripiiid imuges iircremes dromaficaUy "Ire siniulution resuuE of the proposed metliod applied to a typical hyperspectral image (AI'IRI~ are cllso presented Aiidflre error of corre(ntion irzfornrafioii errlropy used iii the /os1 QCA mdlrod is aira&ied

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Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)

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