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作 者:王少波[1] 严卫[1] 艾未华[1] 王蕊[1] 刘天宁
机构地区:[1]解放军理工大学气象海洋学院 [2]解放军92538部队
出 处:《遥感技术与应用》2014年第1期94-99,共6页Remote Sensing Technology and Application
基 金:国家自然科学基金资助项目(41076118)
摘 要:控制海面溢油对于保护环境和减少经济损失是非常重要的,监测海面溢油是遥感技术的一个重要应用方面。利用美国对地观测系统卫星EOS的AMSR-E微波辐射计探测资料,结合阈值梯度算法和基于R-L分数阶微分梯度算子边缘提取算法,提出了基于微波辐射计的海面溢油监测算法,并以2010年发生在墨西哥湾的漏油事件为例,进行了溢油范围反演研究,得到了较好的实验验证结果。Decreasing the risk of oil spill disasters is essential for protecting the environment and reducing e- conomic losses. Advances in remote sensing technologies can help to identify parties potentially responsible for pollution and minor spills before they caused widespread damage. Oil spill surveillance are important as- pects of the application of remote sensing technology. Utilizing NASA's Earth Observing System(EOS) AMSR-E data, combined with the threshold gradient algorithm and R-L based on fractional differential gra- dient operator edge extraction algorithm, this paper proposes sea surface oil spill surveillance algorithm based on microwave radiometer. And taking the oil spilling in the Gulf of Mexico as an example, the extent of oil spill is inverted, and get a better experimental results. The two algorithm of oil spills range inversion are simple, fast computing, and the effect are obvious. They are effective complement and improve SAR, La- ser fluorosensors detection instruments.
分 类 号:P237[天文地球—摄影测量与遥感] TP79[天文地球—测绘科学与技术]
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