A Methodology Based on Deep Learning for Contact Detection in Radar Images
Rosa Gonzales Martínez,
Valentín Moreno,
Pedro Rotta Saavedra
et al.
Abstract:Ship detection, a crucial task, relies on the traditional CFAR (Constant False Alarm Rate) algorithm. However, this algorithm is not without its limitations. Noise and clutter in radar images introduce significant variability, hampering the detection of objects on the sea surface. The algorithm’s theoretically Constant False Alarm Rates are not upheld in practice, particularly when conditions change abruptly, such as with Beaufort wind strength. Moreover, the high computational cost of signal processing advers… Show more
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