Using near infrared light for deep sea mining observation systems
Using near infrared light for deep sea mining observation systems
复制标题
使用近红外光进行深海采矿观测系统
DOI：
10.1117/12.2196779
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
S. Serikawa
中科院分区：
文献类型：
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作者：
Huimin Lu;Yujie Li;Xin Li;Jianmin Yang;S. Serikawa
本文设计了一种新型的深海近红外光成像设备，用于深海采矿观测系统。光谱灵敏度峰值在不可见光谱的红色区域，范围从750 nm到900 nm。此外，本文还提出了一种补偿沿着传播路径衰减差异的水下成像模型，该模型充分考虑了吸收、散射和折射的影响。在水下暗信道先验估计的基础上，提出了一种局部自适应的拉普拉斯滤波方法来增强水下传输图。此外，我们提出了一种基于光谱特征的颜色校正算法来恢复失真的颜色。在水槽实验中，我们通过向海水中添加深海土壤（从500到2000 mg/L），制作了从清洁到严重分散的八个浊度级的线性标度。比较了近红外光和白色光交替照射不同浊度的水下场景的效果。实验结果表明，经过光照补偿后，增强后的近红外图像在暗区具有合理的噪声水平，并且整体对比度得到改善，细节和边缘得到显著增强。实验结果表明，所设计的成像系统的有效距离约为1.5米，可以满足深海采矿系统周围微地形观测的要求。基于遥控水下航行器的实验也验证了该方法的有效性。
In this paper, we design a novel deep-sea near infrared light based imaging equipment for deep-sea mining observation systems. The spectral sensitivity peaks are in the red region of the invisible spectrum, ranging from 750nm to 900nm. In addition, we propose a novel underwater imaging model that compensates for the attenuation discrepancy along the propagation path. The proposed model fully considered the effects of absorption, scattering and refraction. We also develop a locally adaptive Laplacian filtering for enhancing underwater transmission map after underwater dark channel prior estimation. Furthermore, we propose a spectral characteristic-based color correction algorithm to recover the distorted color. In water tank experiments, we made a linear scale of eight turbidity steps ranging from clean to heavily scattered by adding deep sea soil to the seawater (from 500 to 2000 mg/L). We compared the results of different turbidity underwater scene, illuminated alternately with near infrared light vs. white light. Experiments demonstrate that the enhanced NIR images have a reasonable noise level after the illumination compensation in the dark regions and demonstrates an improved global contrast by which the finest details and edges are significantly enhanced. We also demonstrate that the effective distance of the designed imaging system is about 1.5 meters, which can meet the requirement of micro-terrain observation around the deep-sea mining systems. Remotely Operated Underwater Vehicle (ROV)-based experiments also certified the effectiveness of the proposed method.