Detection performance analysis of recurrence quantification analysis measures for low observable target within sea clutter under different sea conditions

Abstract

An approach based on recurrence quantification analysis (RQA) measures is proposed to detect the low observable target within sea clutter in this study. Based on the criterion named the fixed amount of nearest neighbours, recurrence plots (RPs) are constructed. RQA measures are used to describe the line structures of the RPs. According to the differences between the RQA measures of sea clutter with and without a target, the low observable target within sea clutter can be detected. Four sea clutter datasets under different sea conditions in the IPIX OHGR database are selected to analyse the target detection performance of RQA measures. Compared with the multifractal correlation spectrum approach and the cell average constant false alarm rate detector, the author's approach can achieve a higher detection probability. Furthermore, the authors analyse the receiver operating characteristic curves of RQA measures in all of polarisations under different sea conditions. The experimental results show that the horizontal-horizontal polarisation dataset and one of the horizontal-vertical and vertical-horizontal polarisation datasets should be selected for the target detection, and the significant wave height has a greater influence on the target detection performance than the wind speed does.

Convolutive Complex-Valued Independent Component Analysis for Nonlinear Radar Signal Processing and Maritime Weak Target Detection

“…For a full comparison, the proposed detector is employed to detect real-life sea-surface small floating targets existing in IPIX datasets. Many novel detection methods have been proposed to solve this type of problem [12,14,15,19]. Figure 5 illustrates the TD images of the detected target from primary cells of five datasets using the cICA-based detector with CCEBM.…”

“…Nevertheless, the proposed detector's detection performance is approximately the same in high and low sea states, suggesting that it is a robust detector for different RCSs, SCRs, CNRs, and shape parameters. Proposed cICA-based detector with CCEBM Feature-based detector using three TF features [15] Tri-feature-based detector [14] Fractal-based detector [10], [11] Data label Adaptive composite GLRT detector [26] Data label Proposed cICA-based detector 3-D polarimetric-feature detector [20] Tri-feature-based detector at VH [14] Tri-feature-based detector at HV [14] Tri-feature-based detector at HH [14] Tri-feature-based detector at VV [14] (c) Figure 6: e probabilities of detection for all twenty datasets at VV polarization: (a) proposed detector, feature-based detector using three TF features [15], trifeature-based detector [14], and fractal-based detector [10,11]; (b) proposed detector, feature-compression-based detector [19], and adaptive composite GLRT detector [24]; (c) ROC curves for the proposed detector at VV polarization, 3D polarimetricfeature detector [19], and trifeature-based detector [14] at HH, HV, VH, and VV, while T � 512, T Ref � 0, and T CPI � 512. Mathematical Problems in Engineering…”

“…Many other studies have attempted to detect weak targets in maritime high-resolution radars in recent years [10][11][12][13][14][15][16][17][18][19][20][21][22]. Some linear methods, e.g., adaptive detection in compound-Gaussian clutter and GLRT-based novel methods [23], are examples of such detectors.…”

“…e timefrequency analysis (TFA)-based detection method [24] is proposed for such scenarios in addition to some nonlinear methods, e.g., fractal-based detection [10][11][12], time-frequency (TF) feature-based detection [13], other featurebased detection methods [14][15][16][17][18][19], and polarimetric-feature detection [19]. In coherent high-resolution maritime surveillance radars, due to the complex and nonstationary nature of the returned backscatters from the sea surface, the detection of low-velocity or floating small targets is a challenging problem as the target Doppler frequency occurring in the clutter Doppler cell makes clutter filtering impossible [14].…”