Abstract
The high-frequency surface wave radar (HFSWR) detects ship targets in the exclusive economic zone (EEZ) effectively. Most of the existing ship target detection algorithms for HFSWR process the spatial domain features. However, the ship target is usually concealed and interfered with various clutters and background noise in the Doppler spectrum. In this paper, an efficient ship target detection approach based on spatio-frequency analysis (SFA) and extreme learning machine (ELM) is proposed. The algorithm subsumes two successive phases: Phase I - ship target coarse detection using discrete wavelet transform (DWT) and Phase II - ship target fine detection via a classifier. Experimental results on a challenging ship target RD image dataset demonstrate the effectiveness and efficiency of the proposed method.
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Zhang, W., Wu, Q.M.J., Wang, J., Li, Z. (2022). A Novel Method Based on Spatio-Frequency Analysis for HFSWR Ship Detection. In: Berretti, S., Su, GM. (eds) Smart Multimedia. ICSM 2022. Lecture Notes in Computer Science, vol 13497. Springer, Cham. https://doi.org/10.1007/978-3-031-22061-6_34
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DOI: https://doi.org/10.1007/978-3-031-22061-6_34
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