| 基于分形和粗集理论的云杂波背景下序列图像弱目标检测 |
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| 引用本文： | 闫晓珂,史彩成,赵保军,何佩琨.基于分形和粗集理论的云杂波背景下序列图像弱目标检测[J].北京理工大学学报,2006,26(9):824-827. |
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| 作者姓名： | 闫晓珂 史彩成 赵保军 何佩琨 |
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| 作者单位： | 北京理工大学,信息科学技术学院电子工程系,北京,100081;中国人民解放军92941部队,辽宁,葫芦岛,125001;北京理工大学,信息科学技术学院电子工程系,北京,100081 |
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| 摘 要： | 提出了云杂波背景下序列图像中弱目标检测新方法.基于粗糙集理论建立了云杂波背景下弱目标检测模型,使之符合两种不同图像边缘的局部分形维的奇异值改变,根据目标和背景的时域特征完成目标检测.实验及仿真结果表明,该算法能够抑制空间和时间相关性强的云杂波背景,且算法简单.
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| 关 键 词： | 分形 粗集理论 云杂波图像 弱目标检测 |
| 文章编号： | 1001-0645(2006)09-0824-04 |
| 收稿时间： | 04 20 2006 12:00AM |
| 修稿时间： | 2006年4月20日 |
Weak Targets Detection in Cloud Clutter Image Sequences Based-on Fractal and Rough Set Theory |
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| YAN Xiao-ke,SHI Cai-cheng,ZHAO Bao-jun and HE Pei-kun.Weak Targets Detection in Cloud Clutter Image Sequences Based-on Fractal and Rough Set Theory[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(9):824-827. |
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| Authors: | YAN Xiao-ke SHI Cai-cheng ZHAO Bao-jun and HE Pei-kun |
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| Institution: | 1. Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China; 2.Navy Unit 92941, Huludao, Liaoning 125001, China |
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| Abstract: | A new method for the detection of moving dim targets in cloud clutter image sequences is proposed.A detection model of weak targets in cloud clutter background is established based on indiscernibility relation of rough sets(RS) theory,according to the concept that singular local fractal dimension(LFD) will be determined at edges even if the two segments incident to the edge have the same LFD,and the target is detected according to the difference in the temporal of cloud clutter and weak target.Simulation and the experimental results showed that the algorithms are effective in suppressing cloud clutters strongly spatial and temporal related,and they are easy to be implemented. |
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| Keywords: | fractal rough sets theory cloud clutter image weak target detection |
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