A new ship detection algorithm based on local K-distribution in SAR images

doi:10.7523/j.issn.2095-6134.2010.1.005

›› 2010, Vol. 27 ›› Issue (1): 36-42.DOI: 10.7523/j.issn.2095-6134.2010.1.005

• Research Articles • Previous Articles Next Articles

A new ship detection algorithm based on local K-distribution in SAR images

AI Jia-Qiu^1,2, QI Xiang-Yang¹

1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China

Received:2009-06-24 Revised:2009-09-14 Online:2010-01-15

Abstract

Abstract:

The new ship detection algorithm based on local K-distribution proposed in this paper uses a target window and a background window, removes the leaked ship pixels in the background window by using special methods, and estimates the remaining pixels in the background window to get the local clutter’s gray mean and variance. Then the local clutter’s gray probability distribution can be modeled to realize CFAR detection. Compared with K-distribution CFAR detector and local K-distribution CFAR detector, the new algorithm can fit the local change of the sea clutter and detect the targets which are too near. The simulation results show the effectiveness of the new algorithm.

Key words: ship detection, K-distribution, local window, clutter extraction in the background window

CLC Number:

TN957.51

AI Jia-Qiu, QI Xiang-Yang. A new ship detection algorithm based on local K-distribution in SAR images[J]. , 2010, 27(1): 36-42.

References

[1] Chong J S, Zhu M H. Comparison on ship target detection algorithms of SAR imagery
[J]. Signal Processing, 2003, 19(6):580-582(in Chinese). 种劲松,朱敏慧. SAR图像舰船目标检测算法的对比研究
[J].信号处理,2003,19(6):580-582.

[2] Chong J S, Zhu M H. Target detection algorithm of SAR image based on local window K-distribution
[J]. Journal of Electronics & Information, 2003, 25(9):1276-1280(in Chinese). 种劲松,朱敏慧. SAR图像窗口K-分布目标检测算法
[J].电子与信息学报, 2003,25(9):1276-1280.

[3] Xie M H, Zhang Y F, Fu K. Algorithm of detection coastline from SAR images based on seeds growing
[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2007, 24(1):93-98(in Chinese). 谢明鸿,张亚飞,付琨.基于种子点增长的SAR图像海岸线自动提取算法
[J].中国科学院研究生院学报, 2007, 24(1):93-98.

[4] Chen D Y, Tu G F. A new algorithm of ship targets detection in SAR images using wavelet transform
[J]. Journal of Electronics & Information, 2007,29(4):855-858(in Chinese). 陈德元,凃国防.一种基于小波变换的SAR图像舰船检测的新算法
[J].电子与信息学报, 2007,29(4):855-858.

[5] Hao C P, Hou C H. A two parameter CFAR detector in K-distribution clutter
[J]. Journal of Electronics & Information, 2007,29(3):756-759(in Chinese). 郝程鹏,侯朝焕.一种K-分布杂波背景下的双参数恒虚警检测器
[J].电子与信息学报,2007,29(3):756-759.

[6] Eldhuset K. An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions
[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(4):1010-1019.

[7] Blake A P, Blacknell D, Oliver C J. Sea clutter analysis and its resolution dependence //Radar Conference 97. Edinburgh, UK, 1997:124-128.

[8] Li H Y, He Y J. Detection of weak ship signals with the optimization of polarimetric contrast enhancement
[J]. High Technology Letters, 2008, 14(1):85-91.

[9] Robertson N, et al. Ship surveillance using RADARSAT ScanSAR images //Ship Detection in Coastal Waters Workshop 2000. NS, Canada, 2000:41-45.

A new ship detection algorithm based on local K-distribution in SAR images

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 4

Recommended Articles

Metrics

Comments

[1]	WANG Xiaohui, HU Yuxin, LÜ Peng. Multiple moving ships detection method based on saliency map fusion for GF-4 satellite remote sensing image [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 649-659.
[2]	JIAO Tengzhang, HU Yuxin, Lü Peng, ZHANG Kai, TAI Xianqing. A method of multi-ship target detection and tracking by on-orbit satellite [J]. , 2020, 37(3): 368-378.
[3]	AI Jia-Qiu, QI Xiang-Yang, LIU Fan, SHI Li. A new CFAR ship detection algorithm based on independent joint K-distribution [J]. , 2010, 27(5): 651-656.
[4]	AI Jia-Qiu, QI Xiang-Yang, LIU Fan, SHI Li. Application of EMD-based speckle reduction and tophat transform in preprocessing of ship detection [J]. , 2010, 27(4): 517-522.