Oil Spill Sensor using Multispectral Infrared Imaging via L1 Minimization

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dc.contributor.authorLi, Yingyingen_US
dc.contributor.authorShih, Wei-Chuanen_US
dc.contributor.authorHan, Zhuen_US
dc.contributor.authorYin, Wotaoen_US
dc.date.accessioned2018-06-19T17:46:07Zen_US
dc.date.available2018-06-19T17:46:07Zen_US
dc.date.issued2010-11en_US
dc.date.noteNovember 2010en_US
dc.description.abstractEarly detection of oil spill events is the key to environmental protection and disaster management. Current technology lacks the sensitivity and specificity in detecting the early onset of a small-scale oil spill event. Based on an infrared oil-water contrast model recently developed, we propose a novel nonscanning computational infrared sensor that has the potential to achieve unprecedented detection sensitivity. Such a system can be very low-cost and robust for automated outdoor operations, leading to massive offshore deployment. Taking advantage of the characteristic oil thickness multispectral signatures, we have streamlined an algorithm that incorporates 3D image reconstruction and classification in a single inversion step capitalizing on the benefits of L1 minimization.en_US
dc.format.extent4 ppen_US
dc.identifier.citationLi, Yingying, Shih, Wei-Chuan, Han, Zhu, et al.. "Oil Spill Sensor using Multispectral Infrared Imaging via L1 Minimization." (2010) <a href="https://hdl.handle.net/1911/102169">https://hdl.handle.net/1911/102169</a>.en_US
dc.identifier.digitalTR10-28en_US
dc.identifier.urihttps://hdl.handle.net/1911/102169en_US
dc.language.isoengen_US
dc.titleOil Spill Sensor using Multispectral Infrared Imaging via L1 Minimizationen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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