基于YOLOv8的水下人体声呐图像实时目标检测轻量化算法.docxVIP

基于YOLOv8的水下人体声呐图像实时目标检测轻量化算法

目录

一、概述....................................................3

1.1研究背景.............................................3

1.2研究目的与意义.......................................4

1.3论文结构安排.........................................6

二、相关工作综述............................................7

2.1水下目标检测研究现状.................................9

2.2YOLO系列算法的发展历程..............................10

2.3轻量化模型的研究进展................................12

2.4声呐图像处理技术....................................14

三、YOLOv8基础理论.........................................15

3.1YOLOv8的基本原理....................................16

3.2YOLOv8网络结构特点..................................18

3.3YOLOv8训练流程......................................19

3.4YOLOv8性能评估标准..................................21

四、水下人体声呐图像特性分析...............................22

4.1声呐图像的物理特性..................................23

4.2水下环境对声呐图像的影响............................24

4.3声呐图像预处理方法..................................25

五、基于YOLOv8的轻量化算法设计.............................26

5.1算法设计目标........................................28

5.2轻量化策略选择......................................29

5.3特征提取模块优化....................................29

5.4目标检测头改进......................................31

5.5损失函数调整........................................32

六、实验设计与实现.........................................33

6.1实验环境配置........................................34

6.2数据集构建..........................................35

6.3参数设置与训练过程..................................36

6.4性能测试与结果分析..................................37

七、系统实现与应用案例.....................................38

7.1系统架构设计........................................40

7.2关键技术实现........................................41

7.3应用场景介绍........................................43

7.4实际案例分析........................................44

八、结论与展望.............................................45

8.1研究成果总结........................................46

8.2存在的问题与挑战...................