典型文献
Underwater Target Detection Based on Reinforcement Learning and Ant Colony Optimization
文献摘要：
Underwater optical imaging produces images with high resolution and abundant information and hence has outstanding advantages in short-distance underwater target detection. However, low-light and high-noise scenarios pose great challenges in un-derwater image and video analyses. To improve the accuracy and anti-noise performance of underwater target image edge detection, an underwater target edge detection method based on ant colony optimization and reinforcement learning is proposed in this paper. First, the reinforcement learning concept is integrated into artificial ants' movements, and a variable radius sensing strategy is pro-posed to calculate the transition probability of each pixel. These methods aim to avoid undetection and misdetection of some pixels in image edges. Second, a double-population ant colony strategy is proposed, where the search process takes into account global search and local search abilities. Experimental results show that the algorithm can effectively extract the contour information of underwater targets and keep the image texture well and also has ideal anti-interference performance.
文献关键词：
中图分类号：
作者姓名：
WANG Xinhua;ZHU Yungang;LI Dayu;ZHANG Guang
作者机构：
School of Computer Science,Northeast Electric Power University,Jilin 132012,China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,College of Computer Science and Technology,Jilin University,Changchun 130012,China;State Key Laboratory of Applied Optics,Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China
文献出处：
引用格式：
[1]WANG Xinhua;ZHU Yungang;LI Dayu;ZHANG Guang-.Underwater Target Detection Based on Reinforcement Learning and Ant Colony Optimization)[J].中国海洋大学学报（自然科学英文版）,2022(02):323-330
A类：
derwater,undetection,misdetection
B类：
Underwater,Target,Detection,Based,Reinforcement,Learning,Ant,Colony,Optimization,optical,imaging,produces,images,high,resolution,abundant,information,hence,has,outstanding,advantages,short,distance,underwater,However,low,light,noise,scenarios,great,challenges,video,analyses,To,improve,accuracy,anti,performance,colony,optimization,reinforcement,learning,proposed,this,paper,First,concept,integrated,into,artificial,ants,movements,variable,radius,sensing,strategy,calculate,transition,probability,each,These,methods,aim,avoid,some,pixels,edges,Second,double,population,where,search,process,takes,account,global,local,abilities,Experimental,results,show,that,algorithm,can,effectively,extract,contour,targets,keep,texture,well,also,ideal,interference
AB值：
0.599408
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