无人机遥感图像融合算法综述
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(海军航空大学,山东烟台 264000)

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TP391

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Overview of Remote Sensing Image Fusion Algorithm of UAV
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(Naval Aviation University, Yantai Shandong 264000, China)

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    摘要:

    “像素级”“决策级” 根据各级别特点,遥感图像拼接融合技术可分为“特征级”3个级别;无人机遥感图像的融合应采用像素级的融合方法。文章对一些常见的像素级融合方法进行了简要描述,重点介绍了 3种经典的图像融合方法,讲述了可以根据哪些指标对一幅图像从主观与客观两方面进行评价;在实验阶段,对 3种经典融合方法进行了实验验证与性能分析。

    Abstract:

    The current remote sensing image mosaic technology can be divided into three levels:“pixel level”,“feature lev. el”and“decision level”. According to the characteristics of each level, the fusion of remote sensing images of dronesshould adopt pixel-level fusion method. In this paper, some common pixel-level fusion methods were briefly described,and three classic image fusion methods were introduced. At the same time, it was introduced which indicators could beused to evaluate an image from both subjective and objective aspects. In the experimental stage, Experimental verificationand performance analysis were performed on three classical fusion methods.

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引用本文

王海鹏,么鸿原,林雪原,郭强.无人机遥感图像融合算法综述[J].海军航空大学学报,2018,33(5):423-428
WANG Haipeng, YAO Hongyuan, LIN Xueyuan, GUO Qiang. Overview of Remote Sensing Image Fusion Algorithm of UAV[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2018,33(5):423-428

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  • 在线发布日期: 2019-01-21
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