Underwater hyperspectral imaging technology has potential to differentiate and monitor scallop populations

IF 5.9 1区 农林科学 Q1 FISHERIES Reviews in Fish Biology and Fisheries Pub Date : 2024-01-04 DOI:10.1007/s11160-023-09817-z
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Abstract

Accurate and low-impact monitoring of scallop abundance is critical for stock assessment, especially in sensitive habitats. The possibility of using low-impact hyperspectral imaging (HSI) for differentiating scallop species in the marine environment was investigated. Live saucer (Ylistrum balloti) and mud (Ylistrum pleuronectes) scallops (N = 31) were scanned inside a sea simulator using a visible to near infrared (400–1000 nm) line-scanner HSI camera. Partial least square discriminant analysis (PLS-DA) was trained to distinguish between the species using their spectral signatures. Important wavelengths were identified and new models were developed using these wavelengths to reduce the model complexity and potentially increase the imaging speed when applied under at-sea conditions. The PLS-DA model distinguished between saucer and mud scallops using any area of the left valve that was exposed above the sediments, with 90.73% accuracy when all 462 available wavelengths were used. Using the subset of important wavelengths (N = 13) reduced the classification accuracy to 84%. Overall, our results showed that HSI has potential for detecting, distinguishing and counting commercially important saucer scallops for low-impact monitoring and resource management, and to complement RGB imaging that relies solely on morphological properties.

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水下超光谱成像技术具有区分和监测扇贝种群的潜力
摘要 对扇贝丰度进行准确和低影响的监测对于种群评估至关重要,尤其是在敏感的生境中。我们研究了使用低影响高光谱成像(HSI)来区分海洋环境中扇贝物种的可能性。使用可见光到近红外(400-1000 nm)线扫描高光谱成像仪,在海洋模拟器内对活体扇贝(Ylistrum balloti)和泥扇贝(Ylistrum pleuronectes)(N = 31)进行扫描。对部分最小平方判别分析(PLS-DA)进行了训练,以利用其光谱特征区分物种。确定了重要的波长,并利用这些波长开发了新的模型,以降低模型的复杂性,并有可能提高在海上条件下的成像速度。PLS-DA 模型利用左瓣膜暴露在沉积物上方的任何区域来区分扇贝和泥扇贝,当使用所有 462 个可用波长时,准确率为 90.73%。使用重要波长子集(N = 13)将分类准确率降低到 84%。总之,我们的研究结果表明,恒星成像技术具有探测、区分和计算具有重要商业价值的扇贝的潜力,可用于低影响监测和资源管理,并可补充仅依赖形态特性的 RGB 成像技术。 图表摘要
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来源期刊
Reviews in Fish Biology and Fisheries
Reviews in Fish Biology and Fisheries 农林科学-海洋与淡水生物学
CiteScore
10.00
自引率
8.10%
发文量
42
审稿时长
12-24 weeks
期刊介绍: The subject matter is focused on include evolutionary biology, zoogeography, taxonomy, including biochemical taxonomy and stock identification, genetics and genetic manipulation, physiology, functional morphology, behaviour, ecology, fisheries assessment, development, exploitation and conservation. however, reviews will be published from any field of fish biology where the emphasis is placed on adaptation, function or exploitation in the whole organism.
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