Computer vision and machine learning algorithms for detecting marine life from acoustic backscatter time series

用于从声学反向散射时间序列检测海洋生物的计算机视觉和机器学习算法

基本信息

批准号：
544507-2019
负责人：
BranzanAlbu, Alexandra
金额：
$ 0.91万
依托单位：
University of Victoria
依托单位国家：
加拿大
项目类别：
Engage Plus Grants Program
财政年份：
2019
资助国家：
加拿大
起止时间：
2019-01-01 至 2020-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=674896
关键词：
Computer vision machine learning algorithms

项目摘要

Our proposed research explores novel ways of detecting visual patterns from echosounder data usingcomputer vision and machine learning techniques. Switching from the traditional acoustic data processingparadigm to image analysis and visual learning-based algorithms may provide new insights into echosounderdata, and may enable our partner company to enrich their portfolio of automatic data processing services.Our industrial partner is ASL Environmental Sciences Inc (ASL), an employee-owned company based inVictoria, BC. ASL is a global leader in innovative solutions for environmental monitoring and has over 40years of experience in oceanographic, acoustic, remote sensing and ice research products and scientificconsulting services. Since 2000, ASL has been building acoustic backscatter echosounders. Until now, ASLhas provided very limited data processing software related to its echosounders. Adding new data products toASL's portfolio addresses an important need of its larger base of customers, which relates to their ability tointerpret and analyze higher amounts of complex data.This proposed research builds on encouraging results obtained during a current NSERC Engage grant that hasenabled us to establish a first collaboration with ASL. We will address the limitations identified during theEngage project and dig deeper into the problem of detecting marine life from echosounder data, using imageprocessing, deep learning and pattern recognition techniques.

我们提出的研究探索了使用计算机视觉和机器学习技术从回声测深仪数据中检测视觉模式的新方法。从传统的声学数据处理范式切换到图像分析和基于视觉学习的算法可能会为回声测深数据提供新的见解，并可能使我们的合作伙伴公司能够丰富其自动数据处理服务组合。我们的工业合作伙伴是 ASL Environmental Sciences Inc (ASL)是一家员工持股的公司，总部位于不列颠哥伦比亚省维多利亚。 ASL 是环境监测创新解决方案的全球领导者，在海洋学、声学、遥感和冰研究产品及科学咨询服务方面拥有 40 多年的经验。自 2000 年以来，ASL 一直在制造声学反向散射回声测深仪。到目前为止，ASL 提供的与其回声测深仪相关的数据处理软件非常有限。在 ASL 的产品组合中添加新的数据产品可满足其更大客户群的重要需求，这与他们解释和分析大量复杂数据的能力有关。这项拟议的研究建立在当前 NSERC Engage 拨款期间获得的令人鼓舞的结果的基础上，该拨款使我们能够建立与 ASL 的首次合作。我们将解决参与项目期间发现的局限性，并利用图像处理、深度学习和模式识别技术，更深入地研究从回声测深仪数据中检测海洋生物的问题。