.png){kind=icon}
返回
Explainable underwater target recognition models: principles, methods, and applications
.png){kind=icon}
OA
AI
DOI：10.3389/fphy.2025.1682253.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
随着海洋战略重要性的日益提升，水下智能系统已成为信号处理、目标识别和自主导航的关键技术。深度学习的广泛应用显著推动了水下声学任务的发展，但其黑箱特性引发了关于决策可解释性的重大关切，限制了其在高风险场景中的可信应用。本文系统回顾了水下目标识别的可解释模型，阐述了可解释性的核心概念和主要方法。同时，本文综述了声纳成像、信号分析和自主导航领域的研究进展及代表性成果。最后，本文识别了未来发展方向，包括因果推理、跨模态协作和物理知识融合，旨在为开发安全可靠的水下智能系统提供参考。
Keyword:
underwater intelligent perception
underwater target recognition
artificial intelligence
explainable artificial intelligence
explainability in deep learning
期刊
F
IF:
2.1
论文数:
253
被引数:
0
机构
引用论文
Underwater small target detection based on dynamic convolution and attention mechanism基于动态卷积和注意力机制的水下小目标检测OAAI
OAAI分享收藏分享收藏"Why Should I Trust You?"“我为什么要相信你？”.png)
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningIF0
PREAI
分享收藏Transfer Learning and Few-Shot Learning Based Deep Neural Network Models for Underwater Sonar Image Classification With a Few Samples基于迁移学习和少样本学习的水下声纳图像分类深度神经网络模型
PREAI
分享收藏Side-Scan Sonar Image Classification Based on Joint Image Deblurring-Denoising and Pre-Trained Feature Fusion Attention Network基于联合图像去模糊-去噪和预训练特征融合注意力网络的侧扫声呐图像分类ELECTRONICSOAAI
ELECTRONICSIF2.6
OAAI分享收藏Accurate Underwater ATR in Forward-Looking Sonar Imagery Using Deep Convolutional Neural NetworksIEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions可解释人工智能 (XAI) 2.0: 开放挑战和跨学科研究方向的宣言INFORMATION FUSIONOAAI
INFORMATION FUSIONIF15.5
OAAI分享收藏Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey基于人工智能的水下声学目标识别：一项综述OAAI
OAAI分享收藏Underwater Acoustic Target Recognition Based on Sub-Regional Feature Enhancement and Multi-Activated Channel Aggregation基于子区域特征增强和多激活通道聚合的水下声学目标识别
PREAI
分享收藏
查看更多内容