[1]尹辉,谷峰.一种频域特征的飞机目标提取方法[J].智能系统学报,2013,8(05):459-464.[doi:10.3969/j.issn.1673-4785.201304035]
 YIN Hui,GU Feng.A method of extracting aircraft target based on the frequency domain feature[J].CAAI Transactions on Intelligent Systems,2013,8(05):459-464.[doi:10.3969/j.issn.1673-4785.201304035]
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一种频域特征的飞机目标提取方法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第8卷
期数:
2013年05期
页码:
459-464
栏目:
出版日期:
2013-10-25

文章信息/Info

Title:
A method of extracting aircraft target based on the frequency domain feature
文章编号:
1673-4785(2013)05-0459-06
作者:
尹辉谷峰
中国人民解放军空军航空大学 航空航天情报系,吉林 长春 130022
Author(s):
YIN Hui GU Feng
Department of Aviation and Spaceflight Intelligence, Aviation University of Air Force, Changchun 130022, China
关键词:
频域特征飞机目标提取频谱分析Gabor滤波器组显著图
Keywords:
frequency domain feature aircraft target extraction frequency spectrum analysis Gabor filter banks salient image
分类号:
TP753
DOI:
10.3969/j.issn.1673-4785.201304035
文献标志码:
A
摘要:
针对军事遥感影像智能判读的目标定位与提取问题,将先验知识引入到目标提取过程中,提出一种基于频域特征的飞机目标提取方法.该方法通过绘制目标圆周剖面线将二维图像信号简化为一维信号,运用频谱能量的谐波叠置原理对飞机形状进行频谱分析,确定目标轮廓的固有频率;然后设计多尺度的Gabor滤波器组提取图像的纹理特征图,并进行特征图融合形成目标显著图;最后利用数学形态学的方法对目标显著图进行处理,得到最终的目标提取结果.实验结果表明,与基于无先验知识的视觉显著性目标检测方法相比,该方法抗干扰能力强,能够清楚、准确、完整地提取目标区域,是一种有效的飞机目标提取方法.
Abstract:
Focusing on the positioning and extraction of the intelligent interpretation in the military remote sensing image, prior knowledge is introduced into the target extraction process, so as to propose an aircraft target extraction method based on the frequency domain feature. In this method, by drafting the target circumference profile, the two-dimensional image signal is simplified into the one-dimensional signal, the harmonic superposition principle on the energy of frequency spectrum is applied to frequency spectrum analysis of aircraft shape, so as to determine the natural frequency of the target outline; then, by the design of multi-scale Gabor filter banks, the texture feature diagram on the image is extracted, and by combination of feature diagrams, a target salient image is formed; finally, the method of mathematical morphology is used to process the target salient image, obtaining the final target extraction result. The experimental results show that, in comparison with the visual saliency target detection method without prior knowledge, the method has powerful anti-disturbance ability, it may extract the target domain clearly, accurately and completely, and it is a kind of effective aircraft target extraction method.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-04-15.     网络出版日期:2013-09-29. 
通信作者:尹辉. E-mail:image_recognition@163.com.
作者简介:
尹辉,男,1989年生,硕士研究生,主要研究方向为数字图像处理与模式识别.
谷峰,男,1964年生,教授,硕士生导师,主要研究方向为数字图像处理、模式识别、复杂系统仿真.发表学术论文50余篇,出版著作5部.
更新日期/Last Update: 2013-11-28