Optics and Precision Engineering, Volume. 33, Issue 11, 1803(2025)

Deep-sea pollutant detection for autonomous underwater robots

Biao ZHANG*, Zhenyang ZHU, and Jiazhong XU
Author Affiliations
  • Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology, Harbin150080, China
  • show less
    References(32)

    [1] GALIMANY E, MARCO-HERRERO E, SOTO S et al. Benthic marine litter in shallow fishing grounds in the NW Mediterranean Sea[J]. Waste Management, 95, 620-627(2019).

    [2] HIDALGO-RUZ V, THIEL M. Distribution and abundance of small plastic debris on beaches in the SE Pacific (Chile): a study supported by a citizen science project[J]. Marine Environmental Research, 87, 12-18(2013).

    [3] TOPOUZELIS K, PAPAGEORGIOU D, SUARIA G et al. Floating marine litter detection algorithms and techniques using optical remote sensing data: a review[J]. Marine Pollution Bulletin, 170, 112675(2021).

    [4] SHI H H, FRIAS J, SAYED A E H et al. Small plastic fragments: a bridge between large plastic debris and micro- & nano-plastics[J]. TrAC Trends in Analytical Chemistry, 168, 117308(2023).

    [5] WU D, LIU J C, CORDOVA M et al. The PlastOPol system for marine litter monitoring by citizen scientists[J]. Environmental Modelling & Software, 169, 105784(2023).

    [6] PENG X, CHEN M, CHEN S et al. Microplastics contaminate the deepest part of the world’s ocean[J]. Geochemical Perspectives Letters, 1-5(2018).

    [7] RANGEL-BUITRAGO N, VERGARA-CORTÉS H, BARRÍA-HERRERA J et al. Marine debris occurrence along Las Salinas beach, viña del mar (Chile): magnitudes, impacts and management[J]. Ocean & Coastal Management, 178, 104842(2019).

    [8] SCHLINING K, VON THUN S, KUHNZ L et al. Debris in the deep: Using a 22-year video annotation database to survey marine litter in Monterey Canyon, central California, USA[J]. Deep Sea Research Part I: Oceanographic Research Papers, 79, 96-105(2013).

    [9] JONES E S, ROSS S W, ROBERTSON C M et al. Distributions of microplastics and larger anthropogenic debris in Norfolk Canyon, Baltimore Canyon, and the adjacent continental slope (Western North Atlantic Margin, U.S.A.)[J]. Marine Pollution Bulletin, 174, 113047(2022).

    [10] MIKKELSEN N, PLANQUE B, ARNEBERG P et al. Multiple stakeholders’ perspectives of marine social ecological systems, a case study on the Barents Sea[J]. Ocean & Coastal Management, 242, 106724(2023).

    [11] JIA T L, KAPELAN Z, DE VRIES R et al. Deep learning for detecting macroplastic litter in water bodies: a review[J]. Water Research, 231, 119632(2023).

    [12] WANG L L, SHAN ZH Y, MA D et al. NAO robot target tracking based on improved camshift algorithm[J]. Semiconductor Optoelectronics, 41, 896-901(2020).

         王立玲, 单忠宇, 马东. 基于改进Camshift算法的NAO机器人目标跟踪[J]. 半导体光电, 41, 896-901(2020).

    [13] WANG J S, DONG J H, TANG M R et al. Identification and detection of microplastic particles in marine environment by using improved faster R-CNN model[J]. Journal of Environmental Management, 345, 118802(2023).

    [14] DING Z J, LIU C, LI D W et al. Deep-sea biological detection method based on lightweight YOLOv5n[J]. Sensors, 23, 8600(2023).

    [15] KHAN A, FOUDA M M, DO D T et al. Underwater target detection using deep learning: methodologies, challenges, applications, and future evolution[J]. IEEE Access, 12, 12618-12635(2024).

    [16] FULTON M, HONG J, ISLAM M J et al. Robotic detection of marine litter using deep visual detection models[C], 20, 5752-5758(2019).

    [17] WANG P W. Research on Underwater Pollutant Target Detection and Segmentation Based on Improved Mask R-CNN[D], 53-70(2022).

         王普威. 基于改进Mask R-CNN的水下污染物目标检测与分割研究[D], 53-70(2022).

    [18] XUE B, HUANG B X, WEI W B et al. An efficient deep-sea debris detection method using deep neural networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12348-12360(2021).

    [19] BAJAJ R, GARG S, KULKARNI N et al. Sea debris detection using deep learning: diving deep into the sea[C], 24, 1-6(2021).

    [20] CHEN G, HUANG B X, CHEN X Y et al. Deep blue AI: a new bridge from data to knowledge for the ocean science[J]. Deep Sea Research Part I: Oceanographic Research Papers, 190, 103886(2022).

    [21] HAN G Q, CEN H B, JIANG J H et al. Applying machine learning in devising a parsimonious ocean mixing parameterization scheme[J]. Deep Sea Research Part II: Topical Studies in Oceanography, 203, 105163(2022).

    [22] REN Y B, LI X F, ZHANG W H. A data-driven deep learning model for weekly sea ice concentration prediction of the pan-Arctic during the melting season[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 3177600(2022).

    [23] HUANG H, CAI H W, QURESHI J U et al. Proceeding the categorization of microplastics through deep learning-based image segmentation[J]. Science of The Total Environment, 896, 165308(2023).

    [24] VARGHESE R, SAMBATH M. YOLOv8: a novel object detection algorithm with enhanced performance and robustness[C], 18, 1-6(2024).

    [25] 王燕, 王宏辉, 刘树东. 多级特征筛选和任务动态对齐的声呐图像小目标检测[J]. 光电工程, 51, 128-141(2024).

         WANG Y, WANG H H, LIU SH D et al. Small target detection in sonar images with multilevel feature screening and task dynamic alignment[J]. Opto-Electronic Engineering, 51, 128-141(2024).

    [26] LIN S, ZHA Z Y. Underwater image restoration method combining color compensation and dual background light fusion[J]. Opt. Precision Eng., 32, 1059-1074(2024).

         林森, 查子月. 结合色彩补偿与双背景光融合的水下图像复原[J]. 光学 精密工程, 32, 1059-1074(2024).

    [27] JIANG J J, WANG Y ZH, QIAN M. Research of underwater image processing based on wavelet transform[J]. Computer Technology and Development, 18, 35-37, 41(2008).

         江晋剑, 王远志, 钱萌. 基于小波的水下图像对比度增强方法研究[J]. 计算机技术与发展, 18, 35-37, 41(2008).

    Tools

    Get Citation

    Copy Citation Text

    Biao ZHANG, Zhenyang ZHU, Jiazhong XU. Deep-sea pollutant detection for autonomous underwater robots[J]. Optics and Precision Engineering, 2025, 33(11): 1803

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jan. 18, 2025

    Accepted: --

    Published Online: Aug. 14, 2025

    The Author Email: Biao ZHANG (zhangbiao@hrbust.edu.cn)

    DOI:10.37188/OPE.20253311.1803

    Topics