Active Bayesian Deep Learning With Vector Sensor for Passive Sonar Sensing of the Ocean

被引:8
作者
Fischer, John [1 ]
Orescanin, Marko [1 ]
Leary, Paul [2 ]
Smith, Kevin B. B. [2 ]
机构
[1] Naval Postgrad Sch, Dept Comp Sci, Monterey, CA 93943 USA
[2] Naval Postgrad Sch, Dept Phys, Monterey, CA 93943 USA
关键词
Uncertainty; Deep learning; Bayes methods; Data models; Acoustics; Monitoring; Training; Active learning; Bayesian deep learning; machine learning; passive sonar; vector sensor; ROC CURVE; NOISE; AREA;
D O I
10.1109/JOE.2023.3252624
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Multiple studies have explored and reported on using passive sonar scalar pressure fields for both biological and man-made target classification. Here, inclusion of the vector field is considered and evaluated as an input feature in the classification of ship noises. We find that the inclusion of vector field information can significantly improve the understanding of the classification model performance. Based on an analysis of the epistemic and aleatoric uncertainties of probabilistic classification models, using vector field information as additional inputs leads to an F-1 score of 0.8 in classification, comparable to scalar pressure field inputs only, but with 39% lower epistemic uncertainty in favor of utilizing the vector field component. Moreover, we verify that a similar conclusion applies to the active learning scenario, where we demonstrate the ability to utilize vector field information and epistemic uncertainty estimates to train a model that achieves an F-1 score of 0.8 while using only 23% of the overall data. The ability to decompose uncertainty into an aleatoric and epistemic component leads to additional model explainability.
引用
收藏
页码:837 / 852
页数:16
相关论文
共 50 条
  • [41] Deep Active Learning for Multi-Label Classification of Remote Sensing Images
    Mollenbrok L.
    Sumbul G.
    Demir B.
    IEEE Geoscience and Remote Sensing Letters, 2023, 20
  • [42] Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images
    Zhang, Hui
    Liu, Wei
    Niu, Hao
    Yin, Pengcheng
    Dong, Shiling
    Wu, Jialin
    Li, Erzhu
    Zhang, Lianpeng
    Zhu, Changming
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 18
  • [43] Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images
    Shi, Jiacheng
    Liu, Wei
    Zhu, Yihu
    Wang, Shengli
    Hao, Sibao
    Zhu, Changming
    Shan, Haoyu
    Li, Erzhu
    Li, Xing
    Zhang, Lianpeng
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 4094 - 4103
  • [44] DeepOcean: A General Deep Learning Framework for Spatio-Temporal Ocean Sensing Data Prediction
    Gou, Yu
    Zhang, Tong
    Liu, Jun
    Wei, Li
    Cui, Jun-Hong
    IEEE ACCESS, 2020, 8 : 79192 - 79202
  • [45] A Deep Learning Based Platform for Remote Sensing Images Change Detection Integrating Crowdsourcing and Active Learning
    Wang, Zhibao
    Zhang, Jie
    Bai, Lu
    Chang, Huan
    Chen, Yuanlin
    Zhang, Ying
    Tao, Jinhua
    SENSORS, 2024, 24 (05)
  • [46] DeepRadar: A Deep-Learning-based Environmental Sensing Capability Sensor Design for CBRS
    Sarkar, Shamik
    Buddhikot, Milind
    Baset, Aniqua
    Kasera, Sneha Kumar
    PROCEEDINGS OF THE 27TH ACM ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING (ACM MOBICOM '21), 2021, : 56 - 68
  • [47] A deep learning approach with Bayesian optimized Kernel support vector machine for Covid-19 diagnosis
    Kesav, Nivea
    Jibukumar, M. G.
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 2023, 11 (03) : 623 - 637
  • [48] Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity
    Kadota, Takeaki
    Hayashi, Hideaki
    Bise, Ryoma
    Tanaka, Kiyohito
    Uchida, Seiichi
    MEDICAL IMAGE ANALYSIS, 2024, 97
  • [49] A Modular Support Vector Machine for Active Learning of Urban Remote Sensing Images Classification in Algeria
    Marir, Belkacem
    Kalla, Mahdi
    Douak, Fouzi
    Daamouche, Abdelhamid
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (04) : 515 - 529
  • [50] A Modular Support Vector Machine for Active Learning of Urban Remote Sensing Images Classification in Algeria
    Belkacem Marir
    Mahdi Kalla
    Fouzi Douak
    Abdelhamid Daamouche
    Journal of the Indian Society of Remote Sensing, 2018, 46 : 515 - 529