| 红外小目标检测的快速并行算法 |
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| 引用本文： | 汪国有,王岳环,张天序.红外小目标检测的快速并行算法[J].红外与激光工程,1999,28(3):13-18. |
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| 作者姓名： | 汪国有 王岳环 张天序 |
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| 作者单位： | 1. 华中理工大学图像识别与人工智能研究所,武汉,430074
2. 图像信息处理与智能控制国家教育部开放实验室,武汉,430074 |
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| 摘 要： | 利用平均灰度绝对差最大测度（ＡＧＡＤＭ）估计目标背景的不相似性，提出了一种红外小目标检测算法，分析了预处理前后图像信噪比增益与目标大小的关系，进而建立了检测概率和信噪比增益的关系，理论上证明了该算法具有优越的性能。接着，在分析了ＭＰＰ并行计算机体系结构的基础上，提出了两种基于ＭＰＰ的小目标检测并行快速实现算法。理论分析表明，基于ＭＰＰ的ＡＧＡＤＭ小目标检测并行快速实现算法运算时间复杂性为Ｏ（Ｌ２ｉ／Ｎ）。
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| 关 键 词： | 小目标 目标检测 自动目标识别 |
Fast parallel algorithm for small infrared target detection |
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| Wang Guoyou,Wang Yuehuan,Zhang Tianxu.Fast parallel algorithm for small infrared target detection[J].Infrared and Laser Engineering,1999,28(3):13-18. |
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| Authors: | Wang Guoyou Wang Yuehuan Zhang Tianxu |
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| Abstract: | In this paper, an algorithm for small infrared target detection using the average gray absolute difference maximum (AGADM) that can compute dissimilarity between an object and a scene is presented, then the signal\|to\|noise gain between original images and their preprocessed results as a function of an object size is analyzed and the theoretical relation between detection probability and the signal\|to\|noise gain is also established, which has shown the performance enhancement of this algorithm theoretically. After analyzing the structure of a MPP computer, two implementations for AGADM\|based small target detection on a parallel MPP computer are presented. Theoretical analysis has shown that the computational complexity for MPP\|based small target detection is O(L\ 2\-i/N).\= |
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| Keywords: | Small target Target detection Automatic target recognition |
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