基于改进SW算法的渔船AIS轨迹特征提取方法

打开文本图片集

中图分类号：U675.79 文献标志码：A 文章编号：1004—6755（2025）10—0015-05

DOI：10.3969/j.issn.1004-6755.2025.10.004

Abstract：To address the issue of lost turning features caused by sole reliance on distance thresholds in traditional Sliding Window （SW） algorithms for fishing vessel AIS trajectory feature extraction，this paper proposes an improved SW algorithm incorporating dual thresholds of distance and angle. This method dynamically calculates spatial distance deviation and heading angle changes of trajectory points within a sliding window，screening key feature points through dual constraints. Experimental results demonstrate that the improved SW algorithm significantly outperforms the Douglas-Peucker （DP） algorithm and traditional SW methods in fishing vessel trajectory feature extraction，providing a more scientifically robust approach for identifying fishing vessel operational behaviors.

Key words： fishing vessel AIS；trajectory feature extraction； sliding window algorithm； distancethreshold；angle threshold

渔船作为渔业生产的主要工具，在国民生活中承担着重要的生产任务。（剩余4787字）