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Dry-lab benchmarking of a structure from motion workflow designed to monitor marine benthos in three dimensions
The Photogrammetric Record ( IF 2.1 ) Pub Date : 2021-07-26 , DOI: 10.1111/phor.12370
Ian Lochhead 1 , Nick Hedley 1
Affiliation  

Structure from motion (SfM) has emerged as a popular method for characterising marine benthos (seabed organisms), particularly in clear, tropical waters. However, there are many environmentally sensitive benthic organisms inhabiting temperate waters, including the reef-forming glass sponges of the north-east Pacific Ocean. Broader questions are raised, not just about whether SfM is a capable spatial data acquisition and ecological characterisation method in temperate waters; but whether a systematic assessment of capture methods in dry and wet laboratory conditions reveals critical relationships between SfM parameters, data products and their implications for underwater surveys. This paper, the first of two empirical assessments, reports on a series of dry-lab tests quantifying the impact that lighting, camera type, camera settings and capture strategy have on data accuracy. These tests provide a crucial accuracy baseline for subsequent wet-lab and field-based surveys, revealing that photographs captured from a controlled and stable platform produce superior data products. While the measurable differences were small, they may be critical for accurate change detection in temperate environments.

中文翻译:

来自运动工作流程的结构的干实验室基准测试,旨在从三个维度监测海洋底栖生物

运动结构 (SfM) 已成为表征海洋底栖生物(海底生物)的常用方法,尤其是在清澈的热带水域。然而,有许多环境敏感的底栖生物栖息在温带水域,包括东北太平洋的造礁玻璃海绵。提出了更广泛的问题,而不仅仅是关于 SfM 是否是温带水域中一种有效的空间数据采集和生态表征方法;但在干湿实验室条件下对捕获方法的系统评估是否揭示了 SfM 参数、数据产品及其对水下调查的影响之间的关键关系。本文是两个实证评估中的第一个,报告了一系列干实验室测试,量化了照明、相机类型、相机设置和捕获策略对数据准确性有影响。这些测试为后续的湿实验室和实地调查提供了关键的准确度基线,揭示了从受控和稳定平台捕获的照片可以产生卓越的数据产品。虽然可测量的差异很小,但它们对于温带环境中的准确变化检测可能至关重要。
更新日期:2021-09-19
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