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象素级多传感器图像融合技术
引用本文:胡江华,柏连发.象素级多传感器图像融合技术[J].南京理工大学学报(自然科学版),1996,20(5):453-456.
作者姓名:胡江华  柏连发
作者单位:南京理工大学电子工程与光电技术学院
基金项目:南京理工大学科研发展基金
摘    要:多传感器图像融合是图像信息物综合怀分析过程,它可有效地萃取多通道图像信息,构成统一图像,提供显示中心显示或决策机构判别。各种图像传感器的性能极大地依赖于使用环境,至今还没有一种图像传感器在多种不同的使用条件下,其各项性能都高于其它类型的图像传感器,融合多传感器国图像能够提高图像探测系统的探测和识别能力。

关 键 词:传感器  图象融合  图象处理  夜间目标识别  象素级

Pixel level Multisensor Image Fusion Technique
Hu Jianghua,Bai Lianfa,Zhang Baomin.Pixel level Multisensor Image Fusion Technique[J].Journal of Nanjing University of Science and Technology(Nature Science),1996,20(5):453-456.
Authors:Hu Jianghua  Bai Lianfa  Zhang Baomin
Abstract:Multisensor image fusion is a process of synthesising and processing of multisensor image data. The composite image is got by fusing many channels of images, and displayed in display center and judged by decision authorities. The performance of all kinds of image sensisors depends much on working conditions and there is not any of image sensors whose performance (working distance, measurement precision, resolution, anti interfere sensitivity, etc.) is bettter than other kinds of image sensors under different working conditions. Multisensor image fusion can improve the capability of image detection system for detecting and recognizing targets. Concept, principle, processing construction for pixel level multisensor image fusion are described, and major problems and possible ways of solution are also presented. The proper combination of low light level(LLL) camera with optical filters is used to implement multisensor(or multispectral) image fusion experiment at night for outdoor static scene by the aid of computer. The results of experiment indicate that multisensor image fusion has improved the capability for recognizing targets.
Keywords:image date processing  image composite  target acquisition  multiple sensors
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