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遥感技术与应用  2007, Vol. 22 Issue (2): 183-187    DOI: 10.11873/j.issn.1004-0323.2007.2.183
研究与应用     
Envisat AP图像P-CFAR舰船检测方法研究
田巳睿1,2,3,王 超3,1,张 红3,1
(1.中国科学院遥感应用研究所国家遥感重点实验室,北京 100101;2.中国科学院研究生院,北京 100049;3.中国科学院中国遥感卫星地面站,北京 100086)
Ship Detection with Polarimetric CFAR Detector Using Envisat ASAR AP Data
TIAN Si-rui1,2,3, WANG Chao3,1, ZHANG Hong3,1
(1.State Key Laboratory of Remote Sensing,IRSA,Chinese Academy of Sciences,Beijing100101,China;
2.Graduated University of Chinese Academy Sciences,Beijing100049,China; 3.China Remote Sensing
Satellite Ground Station,Chinese Academy of Sciences,Beijing100086,China)
 全文: PDF 
摘要:

Envisat的AP数据可以在一次成像过程中得到同一场景的两幅不同极化模式的数据,使用这种数据进行船只检测可以有效的提高检测概率并降低虚警率。为利用AP数据中包含的关于目标和场景的有效信息,引入了基于向量矢量的P-CFAR检测器对交替极化数据进行检测。首先使用GIS数据对陆地区域进行了掩膜处理,剔除了陆地区域的影响。然后使用P-CFAR检测器对目标进行检测。通过检测器窗口的滑动,我们对中心像素的信息量进行计算,并将其与检测阈值进行比较,从而检测得到目标。最后,为剔除虚警,使用了一个复合目标辨识算法对检测得到的候选目标进行了辨识。为了评价该算法的检测性能,利用Envisat ASAR的交替极化数据进行了实验,实验结果表明该方法能够充分利用目标和场景的有效信息,在环境干扰较大的情况下也可以对舰船进行有效的检测。

关键词: Envisat AP数据P-CFAR检测器舰船检测    
Abstract:

The alternative polarization mode of Envisat ASAR can offer two registered images with different polarization during one observation, so that more information can be gained from the two images. Ships detection capability can be improved by using the AP data. Therefore, in order to detect ships with Envisat AP data, the P-CFAR detector is introduced and adopted. Firstly, GIS data are adopted to mask the land areas in the AP data. Then the P-CFAR detector is applied to the AP data. By moving the slider window,the central cell' s information is calculated and compared with a threshold. Then all the candidate targets are detected. Finally, a compound discrimination algorithm comprised by several discriminators is performed to reduce the number of false alarms. To evaluate the capability of our algorithm, it is applied to some AP data, and results show that the P-CFAR algorithm can effectively detected the ship targets, even in a clutter condition.

Key words: Envisat AP data    P-CFAR detector    Ship detection
收稿日期: 2006-11-04 出版日期: 2011-11-25
:  TP 75   
基金资助:

国家自然科学基金项目(40501044)。

作者简介: 田巳睿(1981-),男,博士生,主要从事目标检测与目标识别研究工作。
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引用本文:

田巳睿,王 超,张 红. Envisat AP图像P-CFAR舰船检测方法研究[J]. 遥感技术与应用, 2007, 22(2): 183-187.

TIAN Si-rui, WANG Chao, ZHANG Hong. Ship Detection with Polarimetric CFAR Detector Using Envisat ASAR AP Data. Remote Sensing Technology and Application, 2007, 22(2): 183-187.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2007.2.183        http://www.rsta.ac.cn/CN/Y2007/V22/I2/183

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