Volume 19 Issue 4
Aug.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
PENG Zhanfei, SHEN Wei, ZHANG Jin. Study on error and correction model of fish length measurement based on imaging sonar[J]. South China Fisheries Science, 2023, 19(4): 31-40. DOI: 10.12131/20220279
Citation: PENG Zhanfei, SHEN Wei, ZHANG Jin. Study on error and correction model of fish length measurement based on imaging sonar[J]. South China Fisheries Science, 2023, 19(4): 31-40. DOI: 10.12131/20220279
shu

Study on error and correction model of fish length measurement based on imaging sonar

  • College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

More Information
  • Received Date: October 20, 2022
  • Revised Date: March 04, 2023
  • Accepted Date: March 30, 2023
  • Available Online: April 27, 2023
    Graphical Abstract
    • Abstract
  • Imaging sonar can measure the length of fish images within its scanning beam. To improve the accuracy of imaging sonar's measurement of fish length, we conducted an experiment to determine the fish length by using Adaptive Resolution Imaging Sonar (ARIS). We compared and analyzed the fish length error in acoustic image based on the measured length of a trail fish and the image length at a known position of the ARIS scanning beam. The results indicate that the main influencing factor of fish image length measurement error was the angle between the fish and the sonar beam. As the angle increased, the measurement error of fish length decreased. There was no significant interactive effect of detection distance of ARIS on length measurement error of fish in the 4 M field. The error between the fish image length and the fork length was minimal, with an average error of 2.1 cm. Furthermore, the image length of fish had a good linear relationship with the total length and fork length, and the fitting degree R2 of the linear modified model was 0.995 1 and 0.990 5, respectively. The study shows that fish image length based on fork measurements is more effective. Additionally, the error analysis of the angle between fish and sonar beam on image length and the sonar image length modified model also provide preliminary references for obtaining more accurate fish length information.
    • FullText(HTML)
    • References (34)
  • [1]
    SIMMONDS J E, MACLENNAN D N. Fisheries acoustics: theory and practice: 2nd edn.[J]. Fish Fish, 2006, 7: 227-228. doi: 10.1111/j.1467-2979.2006.00220.x
    [2]
    TUSER M, FROUZOVA J, BALK H, et al. Evaluation of potential bias in observing fish with a DIDSON acoustic camera[J]. Fish Res, 2014, 155: 114-121. doi: 10.1016/j.fishres.2014.02.031
    [3]
    BELCHE E O, LYNN D C. Acoustic, near-video-quality image for work in turbid water[C]. The Proceedings of Underwater Intervention 2000 Conference, January 2000, Houston, Tex. Houston, Tex: Doyle Publishing Co. Inc, 2000.
    [4]
    BELCHER E, LYNN D, DINH H, et al. Beamforming and imaging with acoustic lenses in small, high-frequency sonars[C]//Proceedings OCEANS'99 MTS/IEEE Conference & Exhibition, 13–16 September 1999, Seattle, Washington. IEEE Oceanic Engineering Society, 1999, 3: 1495-1499.
    [5]
    ELLOTT J M, FLETCHER J M. A comparison of three methods for assessing the abundance of Arctic char, Salvelinus alpines Windermere (northwest England)[J]. Fish Res, 2001, 53(1): 39-46. doi: 10.1016/S0165-7836(00)00270-8
    [6]
    连玉喜, 黄耿, MALGORZATA G, 等. 基于水声学探测的香溪河鱼类资源时空分布特征评估[J]. 水生生物学报, 2015, 39(5): 920-929. doi: 10.7541/2015.121
    [7]
    刘慧杰, 王从锋, 刘德富, 等. 双频识别声呐在鱼类资源调查中的应用进展[J]. 三峡大学学报(自然科学版), 2015, 37(3): 28-34. doi: 10.13393/j.cnki.issn.1672-948X.2015.03.007
    [8]
    JECH M J, MICHAELS W L. A multifrequency method to classify and evaluate fisheries acoustic data[J]. Can J Fish Aquat, 2006, 63: 2225-2235. doi: 10.1139/f06-126
    [9]
    MAXWELL S L, GOVE N E. Assessing a dual-frequency identification sonars' fish-counting accuracy, precision, and turbid river range capability[J]. J Acoust Soc Am, 2007, 122(6): 3364-3377. doi: 10.1121/1.2799500
    [10]
    LUBIS M Z, MANIK H M. Review: acoustic systems (split beam echo sounder) to determine abundance of fish in marine fisheries[J]. J Geosci Eng Technol, 2017, 2(1): 76-83. doi: 10.24273/jgeet.2017.2.1.38
    [11]
    ZWOLINSKI J Z, FERNANDES P G F G, MARQUES V, et al. Estimating fish abundance from acoustic surveys: calculating variance due to acoustic backscatter and length distribution error[J]. Can J Fish Aquat, 2009, 66(12): 2081-2095. doi: 10.1139/F09-138
    [12]
    MOURSUND R A, CARLSON T J, PETERS R D. A fisheries application of a dual-frequency identification sonar acoustic camera[J]. ICES J Mar Sci, 2003, 60(3): 678-683. doi: 10.1016/S1054-3139(03)00036-5
    [13]
    LOZORI J D, MICHAELS B C. Sonar estimation of salmon passage in the Yukon River near pilot station, 2009[R]. Fairbanks: Alaska Department of Fish and Game, Division of Commercial Fisheries, 2013: 1-3.
    [14]
    JOHNSON E L, CLABOUGH T S, KEEFER M L, et al. Evaluation of dual frequency identification sonar (DIDSON) for monitoring Pacific Lamprey passage behavior at fishways of Bonneville Dam, 2011[R]. U. S. Army Corps of Engineers Portland District, Idaho Cooperative Fish and Wildlife Research Unit, 2012: 2-3.
    [15]
    荆丹翔, 周晗昀, 韩军, 等. 基于成像声呐DIDSON的水域内鱼群数量估计方法[J]. 应用声学, 2019, 38(4): 705-711. doi: 10.11684/j.issn.1000-310X.2019.04.030
    [16]
    HOLMES J A, CRONKITE G, ENZENHOFER H J, et al. Accuracy and precision of fish-count data from a 'dual-frequency identification sonar' (DIDSON) imaging system[J]. ICES J Mar Sci, 2006, 63(3): 543-555. doi: 10.1016/j.icesjms.2005.08.015
    [17]
    LIN D Q, ZHANG H, KANG M, et al. Measuring fish length and assessing behavior in a high-biodiversity reach of the Upper Yangtze River using an acoustic camera and echo sounder[J]. J Appl Ichthyol, 2016, 32(6): 1072-7079. doi: 10.1111/jai.13134
    [18]
    JING D X, HAN J, WANG X D, et al. A method to estimate the abundance of fish based on dual-frequency identification sonar (DIDSON) imaging[J]. Fish Sci, 2017, 83(5): 685-697. doi: 10.1007/s12562-017-1111-3
    [19]
    张翔, 沈蔚, 童剑锋, 等. 基于DIDSON双频识别声呐技术的青草沙水库鱼类资源量评估[J]. 上海海洋大学学报, 2017, 26(4): 561-569. doi: 10.12024/jsou.20161201919
    [20]
    徐兆礼, 沈盎绿. 兴化湾海域鱼类多样性的时空变化[J]. 中国水产科学, 2011, 19(2): 174-184.
    [21]
    CRONKITE G M W. Use of high-frequency imaging sonar to estimate adult sockeye salmon escapement in the Horsefly River, British Columbia[R]. Nanaimo, British Columbia: Fisheries and Oceans Canada, 2006.
    [22]
    BAUMGARTNER L J, REYNOLDSON N, CAMERON L, et al. Application of a Dual-frequency Identification Sonar (DIDSON) to fish migration studies[C]//Cutting-edge Technologies in Fish and Fisheries Science, 28-29 August, 2006, Hobart, Tasmania, Australia, Australian. Australian Society for Fish Biology, 2006, 84: 1-33.
    [23]
    CROSSMAN J A, MARTEL G, JOHNSON P N, et al. The use of dual frequency identification sonar (DIDSON) to document white sturgeon activity in the Columbia River, Canada[J]. J Appl Ichthyol, 2011, 27: 53-57.
    [24]
    NEUMANN R M, GUY C S, WILLIS D W. Length, weight, and associated structural indices[C]//ZALE A V, PARRISH D L, SUTTON T M. Fisheries techniques. Bethesda, Maryland: American Fisheries Society, 2012: 637-676.
    [25]
    SHIN Y J, ROCHET M J, JENNINGS S, et al. Using size-based indicators to evaluate the ecosystem effects of fishing[J]. ICES J Mar Sci, 2005, 62(3): 384-396. doi: 10.1016/j.icesjms.2005.01.004
    [26]
    BECKER A, WHITFIELD A K, COWLEY, et al. An assessment of the size structure, distribution and behavior of fish populations within a temporarily closed estuary using dual frequency identification sonar (DIDSON)[J]. J Fish Biol, 2011, 79(3): 761-775. doi: 10.1111/j.1095-8649.2011.03057.x
    [27]
    SCHRECK C B, MOYLE P B. Methods for fish biology[M]. Bethesda: American Fisheries Society, 1990: 363-387.
    [28]
    HIGHTOWER J E, MAGOWAN K J, BROWN L M, et al. Reliability of fish size estimates obtained from a multibeam imaging sonar[J]. J Fish Wildl Manag, 2013, 4(1): 86-96. doi: 10.3996/102011-JFWM-061
    [29]
    COOK D, MIDDLEMISS K, JAKSONS P, et al. Validation of fish length estimations from a high frequency multi-beam sonar (ARIS) and its utilization as a field-based measurement technique[J]. Fish Res, 2019, 218: 59-68. doi: 10.1016/j.fishres.2019.05.004
    [30]
    DAROUX A, MARTIGNAC F, NEVOUX M, et al. Manual fish length measurement accuracy for adult river fish using an acoustic camera (DIDSON)[J]. J Fish Biol, 2019, 95(2): 480-489. doi: 10.1111/jfb.13996
    [31]
    BURWEN D L, FLEISCHMAN S J, MILLER J D. Accuracy and precision of salmon length estimates taken from DIDSON sonar images[J]. Trans Am Fish Soc, 2010, 139(5): 1306-1314. doi: 10.1577/T09-173.1
    [32]
    GERLOTTO F, GEORGAKARAKOS S, ERIKSEN P. The application of multibeam sonar technology for quantitative estimates of fish density in shallow water acoustic surveys[J]. Aquat Living Resour, 2000, 13: 385-393. doi: 10.1016/S0990-7440(00)01055-X
    [33]
    BURWEN D L, NEALSON P A, FLISCHMAN S J, et al. The complexity of narrowband echo envelopes as a function of fish side-aspect angle[J]. ICES J Mar Sci, 2007, 64(5): 1066-1074. doi: 10.1093/icesjms/fsm074
    [34]
    柯森繁, 陈渴鑫, 罗佳, 等. 鲢顶流游泳速度与摆尾行为相关性分析[J]. 水产学报, 2017, 41(3): 401-406.
    • Related Articles

  • Related Articles

    [1]ZHU Shuli, CHEN Weitao, WU Zhi, XIA Yuguo, YANG Jiping, LI Yuefei, LI Jie. Preliminary investigation of fish diversity in middle and lower reaches of Pearl River based on environmental DNA technology[J]. South China Fisheries Science, 2024, 20(1): 120-129. DOI: 10.12131/20230111
    [2]XIE Yufang, WU Peng, LIU Yong, XIAO Yayuan, TANG Guanglong, WANG Teng, LIN Lin, LI Chunhou. Study on habitat suitability of Coilia mystus in Pearl River Estuary, China[J]. South China Fisheries Science, 2023, 19(1): 22-29. DOI: 10.12131/20220029
    [3]LI Hongting, ZHANG Shuai, ZOU Keshu, CHEN Zuozhi, CHEN Xiaolei, JIANG Peiwen, CAO Yiting, LI Min. Establishment and optimization of environmental DNA extraction method from water of Pearl River Estuary[J]. South China Fisheries Science, 2022, 18(3): 30-37. DOI: 10.12131/20210304
    [4]CHEN Zhi, CAI Xingwei, ZHANG Qingfeng, LI Gaojun, MA Chunlai, SHEN Zhixin. Preliminary construction and comparative analysis of environmental DNA metabarcoding reference database of freshwater fishes in Hainan Island[J]. South China Fisheries Science, 2022, 18(3): 1-12. DOI: 10.12131/20210339
    [5]XIONG Pengli, CHEN Zuozhi, HOU Gang, ZHANG Shuai, QIU Yongsong, FAN Jiangtao, XU Shannan. Decadal change in biological traits of Collichthys lucidus in Pearl River Estuary[J]. South China Fisheries Science, 2021, 17(6): 31-38. DOI: 10.12131/20210072
    [6]YAN Yali, ZHANG Nan, GUO Huayang, GUO Liang, ZHU Kecheng, LIU Baosuo, ZHANG Dianchang. Species identification and phylogenetic relationship in Siganidae based on DNA barcoding[J]. South China Fisheries Science, 2019, 15(1): 100-105. DOI: 10.12131/20180083
    [7]SHUAI Fangmin, LI Zhiquan, LIU Guowen, LI Xinhui, LI Yuefei, YANG Jiping, LI Jie. Resource status of Japanese eel (Anguilla japonica) in the Pearl River Estuary[J]. South China Fisheries Science, 2015, 11(2): 85-89. DOI: 10.3969/j.issn.2095-0780.2015.02.012
    [8]GAO Yuan, LAI Zini, WANG Chao, PANG Shixun, WEI Taili, XIE Wenping, YANG Wanling. Community characteristics of zooplankton in Pearl River Estuary in summer of 2006[J]. South China Fisheries Science, 2008, 4(1): 10-15.
    [9]WANG Di, LIN Zhaojin. Spatial and temporal variations of fish community structure in the Pearl River Estuary waters[J]. South China Fisheries Science, 2006, 2(4): 37-45.
    [10]YANG Lin, ZHANG Xufeng, ZHANG Peng, TAN Yongguang. Composition of by-catch of shrimping beam trawl in the Pearl River Estuary, China[J]. South China Fisheries Science, 2005, 1(1): 27-34.

  • Cited by

    Periodical cited type(11)

    1. 郭瑶杰，万武波，王海山，叶乐，陈治. 3组常用鱼类eDNA宏条形码通用引物对三亚水环境样品的物种检出效果比较. 南方水产科学. 2025(01): 66-76 . 本站查看
    2. 薛向平，孙朝徽，刘霞，惠筠，李学军，李秀启，司飞. 基于COI基因的黄河河南-山东段鲤群体遗传结构分析. 淡水渔业. 2025(02): 43-52 .
    3. 朱书礼，陈蔚涛，武智，夏雨果，杨计平，李跃飞，李捷. 基于环境DNA技术的珠江中下游鱼类多样性初步研究. 南方水产科学. 2024(01): 120-129 . 本站查看
    4. 于耀鲜，邢冉冉，邓婷婷，王琳，卢思远，王宏勋，王丽梅，陈颖. 基于重组酶介导等温扩增-CRISPR/Cas12a的青鱼物种快速鉴定研究. 食品安全质量检测学报. 2024(04): 40-48 .
    5. 徐颖琪，梁绪虹，陈新军，宋成辉，彭祖焜，王丛丛. 基于COⅠ基因构建西北太平洋常见鱼类DNA条形码参考数据库. 上海海洋大学学报. 2024(04): 823-835 .
    6. 张浩博，王晓艳，陈治，钟兰萍，高天翔. 基于环境DNA metabarcoding的舟山及其邻近海域鱼类空间分布格局的初步研究. 水产学报. 2024(08): 125-138 .
    7. 李筱芹，吴开阳，倪达富，杨丽亚，鲁桃秀，张连博，邓华堂，吴彤飞，何荣超，付梅，姚维志，吕红健. 基于环境DNA技术的梯级水坝对长江上游重要支流鱼类多样性的影响研究——以綦江为例. 生态学报. 2024(19): 8865-8883 .
    8. 陈炳耀，信誉，路方婷，孙婧，刘杉，李敏，吴斌，王崇瑞，张衡，周玉香，白玲. 长江江豚监测现状及展望. 中国环境监测. 2023(02): 1-10 .
    9. 陈治，蔡杏伟，申志新，张清凤，李芳远，谷圆，李高俊，赵光军，王镇江. 海南岛淡水鱼类eDNA宏条形码COⅠ通用引物的筛选. 渔业科学进展. 2023(06): 40-57 .
    10. 刘乙蒙，刘洋，刘必林，俞晔伟，宋成辉，王丛丛. Cyt b和12S rRNA基因条形码在灯笼鱼科鱼类物种鉴定中的应用. 中国水产科学. 2023(09): 1112-1126 .
    11. 蒋佩文，李敏，张帅，陈作志，徐姗楠. 基于环境DNA宏条码和底拖网的珠江河口鱼类多样性. 水生生物学报. 2022(11): 1701-1711 .

    Other cited types(5)

Catalog

    Get Citation
    PDF
    XML
    Article views (243) PDF downloads (39) Cited by(16)
    Related

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return