Study on Dim Target Detection and Discrimination from Sea Clutter

Dim target detection from sea clutter is one of the difficult topics in ocean remote sensing application. By aiming at the shortcoming of false alarms when using track before detect （TBD） based on dynamic programming, a new discrimination method called statistics of direction histogram （SDH） is prop...

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Bibliographic Details
Published in:China ocean engineering 2013-04, Vol.27 (2), p.183-192
Main Authors: Wang, Wen-guang, Sun, Zuo-wei, Li, Chen-ming, Wang, Jun
Format: Article
Language:English
Subjects:
Clutter
Coastal Sciences
Discrimination
Engineering
False alarms
Fluid- and Aerodynamics
Marine
Marine & Freshwater Sciences
Numerical and Computational Physics
Ocean engineering
Oceanography
Oceans
Offshore Engineering
SDH
Simulation
Statistics
Target detection
动态规划
实际测量
弱小目标检测
杂波背景
检测过程
遥感应用
雷达数据
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Summary:Dim target detection from sea clutter is one of the difficult topics in ocean remote sensing application. By aiming at the shortcoming of false alarms when using track before detect （TBD） based on dynamic programming, a new discrimination method called statistics of direction histogram （SDH） is proposed, which is based on different features of trajectories between the true target and false one. Moreover, a new series of discrimination schemes of SDH and Local Extreme Value method （LEV） are studied and applied to simulate the actually measured radar data. The results show that the given discrimination is effective to reduce false alarms during dim targets detection.
ISSN:0890-5487
2191-8945
DOI:10.1007/s13344-013-0016-x