基于改进小波变换的海上目标检测

doi:10.3969/j.issn.1001-506X.2020.01.12

Abstract

Abstract:

In order to improve the accuracy of ballistic missile against ships, it is of great significance to study and analyze the sea targets detection of the missile-borne synthetic aperture radar. Aiming at the problem that the detection algorithm based on the traditional wavelet transform is difficult to quickly realize edge detection under coherent noise, a detection model based on the improved wavelet transform is proposed. Firstly, the traditional wavelet transform is improved by using the directional adjustable wavelet function, and non-maximum suppression can be avoided under the condition of improving the detection accuracy. Then, aiming at the complex operation of the azimuth wavelet transform, the variable azimuth angle and mask matrix are constructed respectively from two aspects of algorithm principle and engineering application to reduce the computation. On this basis, the combined processing of high and low hat filtering and closed operation is used to enhance edge discrimination, and the target detection can be completed through binarization processing. Finally, taking the ship target detection as an example, the validity of the improved model is verified from the aspects of detection accuracy and operation time.

Key words: wavelet transform, missile-borne synthetic aperture radar, target detection

CLC Number:

TN95

Yaomin HE, Huafeng HE, Yongzhuang XU, Yifan WANG, Jing SU. Marine target detection based on improved wavelet transform[J]. Systems Engineering and Electronics, 2020, 42(1): 83-89.

Figures/Tables 11

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Table 1

Fig.6

Fig.7

Fig.8

Fig.9

Table 2

References 30

1	HANG Z , DAN P , XIN W , et al. A novel algorithm of edge location based on omni-directional and multi-scale MM[J]. Journal of Computers, 2014, 9 (4): 990- 997.
2	TAO W, NA W. Multi-scale mathematical morphology based image edge detection[C]//Proc.of the 2nd International Conference on Intelligent System Design&Engineering Application, 2012: 1060-1062.
3	QIAN X , SRENIVAS V , CHAITALI C . A distributed Canny edge detector:algorithm and FPGA implementation[J]. IEEE Trans.on Image Processing, 2014, 23 (7): 2944- 2960. doi: 10.1109/TIP.2014.2311656
4	TOUZI R , LOPES A , BOUSQUET R . A statistical and geometrical edge detector for SAR images[J]. IEEE Trans.on Geoscience and Remote Sensing, 1988, 26 (6): 764- 773. doi: 10.1109/36.7708
5	FORTOFT R , MARTHON P , LOPES A , et al. An optimum multi-edge detector for SAR image segmentation[J]. IEEE Trans.on Geoscience and Remote Sensing, 1998, 36 (3): 793- 802. doi: 10.1109/36.673672
6	MALLAT S , HWANG W L . Singularity detection and processing with wavelets[J]. IEEE Trans.on Information Theory, 1992, 38 (2): 617- 643. doi: 10.1109/18.119727
7	MALLA S , ZHONG S . Characterization of signals from multi-scale edges[J]. IEEE Trans.on Pattern Analysis and Machine Intelligence, 1992, 14 (7): 710- 732. doi: 10.1109/34.142909
8	CHEN D , LI Q . The use of complex contourlet transform on fusion scheme[J]. Proceedings of World Academy of Science, Engineering and Technology, 2005, 32 (7): 342- 347.
9	CUNHA A L , ZHOU J P , DO M N . The non-subsampled contourlet transform:theory, design, and applications[J]. IEEE Trans.on Image Processing, 2006, 15 (10): 3089- 3100. doi: 10.1109/TIP.2006.877507
10	GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmen-tation[C]//Proc.of the IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580-587.
11	REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once unified, real-time object detection[C]//Proc.of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.
12	田明辉, 力寿红, 岳丽华. 遥感图像中复杂海洋背景的海上舰船检测[J]. 小型微型计算机系统, 2008, 29 (11): 2163- 2166.
	TIAN M H , WAN S H , YUE L H . Ship detection in remote sensing images with complex sea surface background[J]. Journal of Chinese Computer Systems, 2008, 29 (11): 2163- 2166.
13	肖永豪, 余卫宇. 基于蜂群算法的图像边缘检测田[J]. 计算机应用研究, 2010, 27 (7): 2748- 2750.
	XIAO Y H , YU W Y . Bee colony algorithm for image edge detection[J]. Application Research of Computers, 2010, 27 (7): 2748- 2750.
14	ELDHUSET K . An automated ship and ship wake detection system for space-borne SAR images in coastal regions[J]. IEEE Trans.on Geoscience and Remote Sensing, 1996, 34 (4): 1010- 1019. doi: 10.1109/36.508418
15	HENSCHEL M D , REY M T , CAMPBELL J . Comparison of probability statistics for automated ship detection in SAR imagery[J]. Proceedings of SPIE, 2004, 3491, 986- 991.
16	KAPLAN L M . Improved SAR target detection via extended fractal features[J]. IEEE Trans.on Aerospace and Electronis Systems, 2001, 37 (4): 157- 162.
17	朱军, 史彩成, 何佩琨. 隔点差分自适应阈值红外图像分割算法的FPGA实现[J]. 激光与红外, 2005, 35 (2): 134- 136. doi: 10.3969/j.issn.1001-5078.2005.02.020
	ZHU J , SHI C C , HE P K . Interval dot difference with adaptive threshold segmentation algorithm using FPGA in IR[J]. Laser&Infrared, 2005, 35 (2): 134- 136. doi: 10.3969/j.issn.1001-5078.2005.02.020
18	吴一全, 记守新, 尹丹艳. 基于NMF、ICA和Coutourlet变换的红外小目标检测[J]. 宇航学报, 2011, 32 (8): 1833- 1839. doi: 10.3873/j.issn.1000-1328.2011.08.027
	WU Y Q , JI S X , YIN D Y . Infrared small target detection based on NMF, ICA and complex Contourlet transform[J]. Journal of Astronautic, 2011, 32 (8): 1833- 1839. doi: 10.3873/j.issn.1000-1328.2011.08.027
19	XU Y S , WEAVER J B , HEALY D M , et al. Wavelet transform domain filters:a spatially selective noise filtration technique[J]. IEEE Trans.on Image Processing, 1994, 35 (6): 747- 758.
20	刘东华, 王元钦, 李秋娜. 小波分析理论在图像目标检测中的应用[J]. 仪器仪表学报, 2004, 25 (4): 660- 665.
	LIU D H , WANG Y Q , LI Q N . Application of wavelet analysis theory to image target detection[J]. Chinese Journal of Scientific Instrument, 2004, 25 (4): 660- 665.
21	KINGSBURY N. Shift invariant properties of the dual-tree complex wavelet transform[C]//Proc.of the IEEE International Conference on Acoustics, Speech and Signal Processing, 1999: 1221-1224.
22	KINGSBURY N. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties[C]//Proc.of the IEEE International Conference on Image Processing, 2000: 375-378.
23	HO C H, FAN L, CHANG K. New uniplanar coplanar waveguide couplers[C]//Proc.of the IEEE MTT-S International Microwave Symposium, 1994: 285-288.
24	GONZALEZ R C , WOODS R E . Digital image processing[M]. Beijing: Publishing House of Electronics Industry, 2011.
25	BAI X Z , BAI X Z , ZHOU F G . Analysis of new top-hat transformation and the application for infrared dim-small target detection[J]. Pattern Recognition, 2010, 43 (6): 2145- 2156. doi: 10.1016/j.patcog.2009.12.023
26	刘昆, 刘卫东. 基于加权融合特征与OSTU分割的红外弱小目标检测算法[J]. 计算机工程, 2017, 43 (7): 253- 260. doi: 10.3969/j.issn.1000-3428.2017.07.043
	LIU K , LIU W . Detection algorithm for infrared Dim small targets based on weighted fusion feature and OSTU segmentation[J]. Computer Engineering, 2017, 43 (7): 253- 260. doi: 10.3969/j.issn.1000-3428.2017.07.043
27	郦苏丹, 李广侠, 张翠, 等. SAR图像的多尺度边缘检测方法[J]. 系统工程与电子技术, 2004, 26 (3): 307- 320. doi: 10.3321/j.issn:1001-506X.2004.03.008
	LI S D , LI G X , ZHANG C , et al. Multi-scale edge detection in SAR images[J]. Systems Engineering and Electronics, 2004, 26 (3): 307- 320. doi: 10.3321/j.issn:1001-506X.2004.03.008
28	PAES R L , LORENZZETTI J , GHERARDI D F M . Ship detection using terra SAR-X images in the Campos basin[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7 (3): 545- 548. doi: 10.1109/LGRS.2010.2041322
29	CHABRIER S , EMILE B , ROSENBERGER C , et al. Unsupervised performance evaluation of image segmentation[J]. EURASIP Journal on Advances in Signal Processing, 2006. doi: 10.1155/ASP/2006/96306
30	陈文婷, 邢相薇, 计科峰. SAR图像舰船目标识别综述[J]. 现代雷达, 2012, 34 (11): 53- 58. doi: 10.3969/j.issn.1004-7859.2012.11.013
	CHEN W T , XING X W , JI K F . Overview of ship target recognition in SAR image[J]. Modern Radar, 2012, 34 (11): 53- 58. doi: 10.3969/j.issn.1004-7859.2012.11.013

方法	传统小波	8方向小波	可变方向角
时间	0.511	0.442	0.406

方法	a	b	c	d	e	f
精度A	0.893	0.954	0.983	0.991	0.785	0.902
时间/s	0.605	0.536	0.408	0.811	0.314	0.447

[1]	Yu XIAO, Zhenghong DENG, Zhan ZHANG. Waveform design based on two-stage mutual information for multi-target detection [J]. Systems Engineering and Electronics, 2022, 44(9): 2736-2742.
[2]	Xiang LIU, Tianyao HUANG, Yimin LIU. Distributed target detection for frequency agile radars [J]. Systems Engineering and Electronics, 2022, 44(6): 1833-1838.
[3]	Xiaofeng ZHAO, Yebin XU, Fei WU, Jiahui NIU, Wei CAI, Zhili ZHANG. Ground infrared target detection method based on global sensing mechanism [J]. Systems Engineering and Electronics, 2022, 44(5): 1461-1467.
[4]	Hai LI, Jin BAI, Yan SUN, Jiawei REN. Radar hydrometeor classification based on modified wavelet transform interpolation-TAN [J]. Systems Engineering and Electronics, 2022, 44(5): 1527-1535.
[5]	Wenxiao WEI, Jieyu LIU, Qiang SHEN, Cheng LI. Feature fusion small target detection algorithm based on human eye view-point map [J]. Systems Engineering and Electronics, 2022, 44(4): 1120-1127.
[6]	Xiaoya JIA, Hongqiao WANG, Yadan YANG, Zhongma CUI, Bin XIONG. Anchor free SAR image ship target detection method based on the YOLO framework [J]. Systems Engineering and Electronics, 2022, 44(12): 3703-3709.
[7]	Chunling XUE, Fei CAO, Qing SUN, Jianqiang QIN, Xiaowei FENG. Sea-surface weak target detection based on multi-feature information fusion [J]. Systems Engineering and Electronics, 2022, 44(11): 3338-3345.
[8]	Tao JIN, Di ZHU, Jieying HE, Wenyu WANG. Study on the characteristics of high terahertz band atmospheric background radiation observed from satellites [J]. Systems Engineering and Electronics, 2022, 44(10): 3003-3011.
[9]	Yonggang LI, Weigang ZHU, Qiongnan HUANG, Yuntao LI, Yonghua HE. Near-shore ship target detection with SAR images in complex background [J]. Systems Engineering and Electronics, 2022, 44(10): 3096-3103.
[10]	Shufeng GONG, Weijun LONG, De BEN, Minghai PAN. Adaptive fuzzy CFAR detection fusion algorithm for netted radar [J]. Systems Engineering and Electronics, 2022, 44(1): 100-107.
[11]	Wei YANG, Yongxiang LIU, Yaowen FU, Xiang LI. Robust radar target detection method based on continuous belief function theory [J]. Systems Engineering and Electronics, 2021, 43(9): 2463-2469.
[12]	Yanling SHI, Zipeng LIU, Xueliang ZHANG, Weiliang GU. Feature detection of floating small target on the sea surface based on EMD energy proportion [J]. Systems Engineering and Electronics, 2021, 43(2): 300-310.
[13]	Ning WANG, Ming ZHOU, Guoqing LIU, Yuhao YANG, Jun SUN. Interframe noncoherent integration technology based on Chirp Z transform for sea surface target [J]. Systems Engineering and Electronics, 2021, 43(2): 383-389.
[14]	Ruochen ZHAO, Jingdong WANG, Siyu LIN, Dongze GU. Small building detection algorithm based on convolutional neural network [J]. Systems Engineering and Electronics, 2021, 43(11): 3098-3106.
[15]	Sainan SHI, Zeyuan DONG, Jing YANG, Chunjiao YANG. Sea-surface small target detection based on autonomic learning of time-frequency graph [J]. Systems Engineering and Electronics, 2021, 43(1): 33-41.

Marine target detection based on improved wavelet transform

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 30

Related Articles 15

Recommended Articles

Metrics

Comments