基于重排频谱时频脊的海面小目标检测

Detection of Small Targets on Sea Surface Based on Time-Frequency Ridge of Rearranged Spectrum

针对由于传统W-H算法计算量大,检测效率不高,海面小目标检测难度较大的问题,提出了基于重排频谱时频脊的小目标检测新算法。通过研究实测数据的时频谱能量分布特点,对比了在不同极化条件下,传统算法与新算法对多组实测数据的分析结果,研究了Hough参数域内的尖峰特性,对小目标实现了有效检测,验证了算法的可行性。最终得出结论:新算法选取重排算法以及提取重排谱时频脊提高了检测能力,降低了运算量,对海面小目标实现有效检测,且HH极化条件下新算法的检测性能更好。

It is difficult to detect small targets on the sea surface due to large amount of calculation and low detection efficiency of the traditional W-H algorithm.To solve the problema new small target detection algorithm based on time-frequency ridge of rearranged spectrum is proposed.This paper studies the characteristics of energy distribution of the time-frequency spectrum of the measured datacompares the analysis results of multiple groups of measured data of the traditional algorithm with that of the new algorithm under different polarization conditionsand studies the characteristics of spikes in Hough parameter domain.The algorithm can effectively detect small targetswhich verifies the feasibility of the algorithm.Finallyit is concluded thatby selecting the rearrangement algorithm and extracting the ridge of the rearranged time-frequency spectrumthe new algorithm improves the detection abilityreduces the computation amountand effectively detects small targets on the sea surface with better performance under the condition of HH polarization.