基于视觉显著性的海面船只候选区域检测方法

doi:10.11896/JsJkx.191000196

摘要/Abstract

摘要： 海面船只检测技术具有重要的民用和军用价值,针对复杂海面场景下船只检测精度低的问题,提出了一种基于视觉显著性的遥感图像海面船只候选区域检测方法。为检测到所有船只的候选区域,该方法首先采用Scharr边缘检测算子提取显著目标的边缘轮廓特征,然后基于边缘检测结果运用FT显著性模型得到最终的候选区域检测结果。在公开遥感数据集上的仿真实验结果表明,该方法在多种复杂检测场景下的船只候选区域检测任务中取得了较好的检测效果,实现了对船只候选区域的快速提取。

关键词: FT显著性模型, Scharr边缘检测算子, 候选区域检测, 遥感图像

Abstract: Maritime ship detection technology has important civil and military value.Aiming at the problem of low accuracy of ship detection in complex sea scenes,a candidate region detection method for maritime ship based on visual saliency is proposed.In order to detect all the candidate regions of ships,the proposed method firstly uses Scharr edge detection operator to extract the edge contour features of salient targets,and then uses FT to obtain the final detection results of candidate regions based on the edge detection results.Experimental results on publicly available remote databases show that the proposed method gets good detection results in the detection of candidate regions of ships in a variety of complex marine scenes and realizes the quick extraction of the candidate regions of ships.

Key words: Candidate region extraction, FT saliency model, Remote sensing image, Scharr edge detection operator

中图分类号:

TP391

刘俊琦, 李智, 张学阳. 基于视觉显著性的海面船只候选区域检测方法[J]. 计算机科学, 2020, 47(6A): 237-241. https://doi.org/10.11896/JsJkx.191000196

LIU Jun-qi, LI Zhi and ZHANG Xue-yang. Candidate Region Detection Method for Maritime Ship Based on Visual Saliency[J]. Computer Science, 2020, 47(6A): 237-241. https://doi.org/10.11896/JsJkx.191000196

参考文献

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