基于粒子群优化算法的多特征融合声纳图像目标检测评价

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Hongquan Lei, Diquan Li, Haidong Jiang
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引用次数: 0

摘要

传统的声纳图像目标检测分析存在检测时间长、检测精度低、检测速度慢等问题。针对这些问题,本文将采用基于粒子群优化算法的多特征融合声纳图像目标检测算法对声纳图像进行分析。该算法利用粒子群算法对多个特征向量的组合进行优化,实现特征的自适应选择和组合,从而提高了声纳图像目标检测的精度和效率。结果表明:在其他条件相同的情况下,在粒子群优化算法下,声纳图像多特征检测算法对三幅声纳图像的检测时间在4s-9.9s之间,而声纳图像单特征检测算法对三幅声纳图像的检测时间在12s-20.9s之间,表明PSO在多特征融合声纳图像目标检测中具有更好的性能和实用性,可以有效地应用于声纳图像目标检测领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-feature fusion sonar image target detection evaluation based on particle swarm optimization algorithm
Traditional sonar image target detection analysis has problems such as long detection time, low detection accuracy and slow detection speed. To solve these problems, this paper will use the multi-feature fusion sonar image target detection algorithm based on the particle swarm optimization algorithm to analyze the sonar image. This algorithm uses the particle swarm algorithm to optimize the combination of multiple feature vectors and realizes the adaptive selection and combination of features, thus improving the accuracy and efficiency of sonar image target detection. The results show that: when other conditions are the same, under the particle group optimization algorithm, the sonar image multiple feature detection algorithm for three sonar image detection time between 4s-9.9s, and the sonar image single feature detection algorithm of three sonar image detection time between 12s-20.9s, shows that the PSO in multiple feature fusion sonar image target detection with better performance and practicability, can be effectively applied to the sonar image target detection field.
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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