Target Detection within Sea Clutter Using the Saturation Phenomenon of Fluctuation Analysis

Sun, Kang; Jin, Gang; Wang, Chaoyu; Zhu, Xiaohua

doi:10.2991/iccsee.2013.205

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2014

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“…Some researchers focus on the sea clutter properties based on fractal theory [5]. To improve the algorithm performance for target detection, the great Hurst exponent was discussed with fluctuation analysis to distinguish the target from the sea clutter [6], and then the fluctuation curve slope was suggested to describe the properties of target and sea clutter to overcome the saturation [7]. Jian et al introduced an algebraic fractal model of sea spikes including the spike amplitude, the minimum spike width, and the minimum interval between spikes [8].…”

Section: Prior Work On Target Detection In Msarmentioning

confidence: 99%

Vision-based target detection in marine search and rescue

Wang

2014

SPIE Proceedings

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In this paper, we propose a vision-based target detection scheme based on video saliency to find the rescue targets automatically. A new definition of video saliency is first proposed to comprehend the target properties based on structure similarity among adjacent video frames. Then, a cascaded target detection is devised with the local image feature and regional video saliency. We treat the salient objects in aerial images as a basic feature and filter the false candidates based on the region-based video saliency. The propose method can improve the search and rescue of targets, and reduce the economical losses in marine accidents.

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Section: Prior Work On Target Detection In Msarmentioning

confidence: 99%

Vision-based target detection in marine search and rescue

Wang

2014

SPIE Proceedings

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Target Detection within Sea Clutter Using the Saturation Phenomenon of Fluctuation Analysis

Cited by 1 publication

References 10 publications

Vision-based target detection in marine search and rescue

Vision-based target detection in marine search and rescue

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