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Ultrasonic hyperspectral imaging based oil detection in sea water via spectral fringe-adjusted joint transform correlation

机译:基于超声高光谱成像的光谱条纹调整联合变换相关性在海水中的油检测

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This paper presents a novel method of oil detection in sea water from ultrasonic hyperspectral imagery (UHI) using spectral fringe adjusted joint transform correlation (SFJTC). An UHI is generated using ultrasound attenuation coefficients of different materials. Using pure target (oil) and background (sea water) signatures and linear mixing, we have developed a SFJTC-based novel technique for oil detection in sea water using the UHI technique. We have randomly inserted targets (oil) into a sea water UHI scene with different levels of spectral variability to explore the performance of the SFJTC algorithm for different scenarios. The performance of the proposed technique is evaluated via receiver operating characteristics (ROC) curves and the area under the ROC (AUROC). Test results confirm that the proposed scheme shows good results despite the presence of a large amount of noise in the data.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:本文提出了一种新的利用光谱条纹调整联合变换相关(SFJTC)技术从超声高光谱图像(UHI)中检测海水中油的方法。使用不同材料的超声衰减系数生成UHI。使用纯目标(油)和背景(海水)特征以及线性混合,我们开发了基于SFJTC的使用UHI技术检测海水中油的新技术。我们将目标(油)随机插入具有不同光谱可变性级别的海水UHI场景中,以探索SFJTC算法在不同情况下的性能。通过接收器工作特性(ROC)曲线和ROC下面积(AUROC)评估所提出技术的性能。测试结果证实,尽管数据中存在大量噪声,但该方案仍显示出良好的结果。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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