An Automatic Target Detection Method Based on Multidirection Dictionary Learning for HFSWR

Wang, Xinyang; Li, Yang; Zhang, Ning; Cong, Yang

doi:10.1109/lgrs.2021.3062610

Cited by 11 publications

(2 citation statements)

References 15 publications

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“…Since not all echo spectrum amplitudes of clutters are normally distributed, the multidirectional gradient and local variance of some false plots located in clutter regions are similar to those of moving vessel plots, they may be misclassified as moving vessels. It is noticed that an R-D map can be divided into different regions [31] according to different characteristics of clutters, noise, and moving vessels, as illustrated in Figure 4. R S is near the first-order peaks, R G is near zero Doppler frequency, R B contains the cells at far range with little echo.…”

Section: • Plot Position Probabilitymentioning

confidence: 99%

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

Sun

et al. 2022

Remote Sensing

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Due to high false alarm rate and low positioning accuracy of compact high-frequency surface wave radar in moving vessel detection, false plot-to-track association often occurs during moving vessel tracking, thus leading to track fragmentation and false tracking. In order to address this problem, a plot quality evaluation method is proposed and applied to plot-to-track association. Firstly, the differences in spatial correlation of echo spectrum amplitudes and position among moving vessels, clutters, and noise on a range-Doppler map are analyzed, and a plot quality index integrating multi-directional gradient, local variance, and plot position probability is developed. Then, the plots labeled as low quality are removed to reduce both the negative impact of false alarms on plot-to-track association and the computational burden. Eventually, both plot quality index and kinematic parameters are used to calculate the association cost and determine the plot-track pairs during the plot-to-track association procedure. Experimental results with field data demonstrate that the proposed plot quality index can effectively distinguish moving vessel and other plots. Compared with both the nearest neighbor data association method and the joint probability data association method, the association accuracy of the proposed method is greatly improved and, thus, the tracking continuity is enhanced in dense clutter scenarios.

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Section: • Plot Position Probabilitymentioning

confidence: 99%

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

Sun

et al. 2022

Remote Sensing

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“…Sea clutter is experienced as two strong lines in the radar image, with low power in far ranges but considerably stronger and spread in near ranges. Therefore, heavy-tailed distributions, such as Weibull [1] or K [2], are better candidates to represent sea clutter. Although both Weibull and K are compound Gaussian distributions, K-distribution is better suited to model sea clutter, as its parameters are more related to physical phenomena [3].…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Surface Wave Radar Performance Analysis for CA-CFAR Algorithm in K-distributed Clutter

Medeiros,

Costa,

Mippo

et al. 2023

Anais Do XLI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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This paper analyzes the performance of a cellaveraging constant false alarm rate (CA-CFAR) algorithm designed for K-distributed clutter in High-Frequency Surface Wave Radar applications (HFSWR). Due to complex scattering mechanisms, the clutter returns in the range-Doppler spectrum are highly non-homogeneous. This study compares a closed-form probability of detection of the K-distribution CA-CFAR to a numerical simulation of sea clutter based on a physical sea radar cross-section (RCS) model, which considers wind conditions and operating parameters. The simulation shows that the closedform analytical expression acts as an upper bound for detector performance, which is degraded in practice by the strong peaks of the clutter power.

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Sports Video Moving Target Detection and Tracking Based on Particle Filter and Related Algorithms

Wang

2023

Lecture Notes in Electrical Engineering

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An Automatic Target Detection Method Based on Multidirection Dictionary Learning for HFSWR

Cited by 11 publications

References 15 publications

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

High-Frequency Surface Wave Radar Performance Analysis for CA-CFAR Algorithm in K-distributed Clutter

Sports Video Moving Target Detection and Tracking Based on Particle Filter and Related Algorithms

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