[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(5):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(5):459-464.[doi:10.3969/j.issn.1673-4785.201304035]
点击复制
YIN Hui,GU Feng.A method of extracting aircraft target?based on the frequency domain feature[J].CAAI Transactions on Intelligent Systems,2013,8(5):459-464.[doi:10.3969/j.issn.1673-4785.201304035]
一种频域特征的飞机目标提取方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第5期
页码:
459-464
栏目:
学术论文—机器感知与模式识别
出版日期:
2013-10-25
- Title:
- A method of extracting aircraft target?based on the frequency domain feature
- 文章编号:
- 1673-4785(2013)05-0459-06
- Keywords:
- frequency domain feature; aircraft; target extraction; frequency spectrum analysis; Gabor filter banks; salient image
- 分类号:
- TP753
- 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:
-
［1］MARTIN R, MARFIL R, NUNEZ P, et al. A novel approach for salient image regions detection and description［J］. Pattern Recognition Letters, 2009, 30(16): 1464-1467.［2］CHANG L, PALANCAR J H, SUCAR L E, et al. FPGA-based detection of SIFT interest keypoints［J］. Journal of Electronic Imaging, 2013, 10(2): 371-392.
［3］BUTAKOFF C, FRANGI A F. Multi-view face segmentation using fusion of statistical shape and appearance models［J］. Computer Vision and Image Understanding, 2010, 114(3): 311-321.
［4］FELZENSZWALB P, MCALLEATE D, RAMANAN D. A discriminatively trained, multi scale, deformable part model［C］//IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Anchorage, USA, 2008: 1-8.
［5］王鹏伟，吴秀清，余珊.基于角点特征和自适应核聚类算法的目标识别［J］.计算机工程, 2007, 33(6): 179-181.
??????? WANG Pengwei, WU Xiuqing, YU Shan. Target identification based on corner character and self-adaptive kernel clustering algorithm［J］. Computer Engineering, 2007, 33(6): 179-181.
［6］余珊，吴秀清.基于变分域的主动形状模型标记点，自动标定［J］.计算机仿真, 2008, 25(3): 227-230.
???????? YU Shan, WU Xiuqing. Automatic marking for landmarks of active shape model based on variation domain［J］. Computer Simulation, 2008, 25(3): 227-230.
［7］蔡红萍，耿振伟，粟毅.遥感图像飞机检测新方法——圆周频率滤波法［J］.信号处理, 2007, 33(4): 539-543.
??????? CAI Hongping, GENG Zhenwei, SU Yi. A new method to detect airplanes in remote sensing image—circle-frequency filter［J］. Signal Processing, 2007, 33(4): 539-543.［8］张国云，章兢.基于Gabor小波的多尺度PCA支持向量机人脸识别方法［J］.数据采集与处理, 2009, 24(4): 437-442.?
??????? ZHANG Guoyun, ZHANG Jing. Multi-scale PCA support vector machine algorithm based on Gabor wavelet for face recognition［J］. Journal of Data Acquisition & Processing, 2009, 24(4): 437-442.
［9］BAU T C, SARKAR S, HEALEY G. Hyperspectral region classification using a three-dimensional Gabor filterbank［J］. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(9): 3457-3464.
［10］万伟，冯学智，肖鹏峰，等.基于傅里叶描述子的高分辨率遥感图像地物形状特征表达［J］.遥感学报, 2011, 15(1): 73-87.
???????? WAN Wei, FENG Xuezhi, XIAO Pengfeng, et al. Shape feature representation of ground objects from high-resolution remotely sensed imagery based on Fourier descriptors［J］. Journal of Remote Sensing, 2011, 15(1): 73-87.
［11］ACHANTA R, HEMAMI S, ESTRADA F, et al. Frequencytuned salient region detection［C］//IEEE International Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 1597-1604.
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