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飞行目标的光谱辐射强度与梯度组合识别算法
Alternative TitleRecognition algorithm for flight targets with intensity and gradient combination in multispectral image
操乐林; 张珩; 张伟; 侯晴宇
Source Publication哈尔滨工业大学学报
2010
Volume42Issue:1Pages:33-36
ISSN0367-6234
Abstract利用人造飞行目标相邻波段光谱辐射强度连续性特点,提出了一种多光谱辐射强度和梯度相组合的目标识别快速算法.该算法首先对多光谱图像进行高通滤波实现背景抑制,而后以残余图像符合高斯统计分布为假设前提,建立了强度周值与光谱梯度闻值的概率密度函数,最后利用3σ准则确定强度阈值以达到噪声中目标和诱饵的检测,确定光谱梯度阔值对二者进行识别,这种依据数据统计特性进行的双阈值确定方法增强了算法的自适应性能.利用此算法进行了强噪声下的目标识别仿真试验,表明了算法的有效性.
Keyword目标识别 多光谱 辐射强度 光谱辐射梯度
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Indexed ByEI ; CSCD
Language中文
CSCD IDCSCD:3811603
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Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/44012
Collection先进制造工艺力学重点实验室
Corresponding Author操乐林
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GB/T 7714
操乐林,张珩,张伟,等. 飞行目标的光谱辐射强度与梯度组合识别算法[J]. 哈尔滨工业大学学报,2010,42(1):33-36.
APA 操乐林,张珩,张伟,&侯晴宇.(2010).飞行目标的光谱辐射强度与梯度组合识别算法.哈尔滨工业大学学报,42(1),33-36.
MLA 操乐林,et al."飞行目标的光谱辐射强度与梯度组合识别算法".哈尔滨工业大学学报 42.1(2010):33-36.
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