| 摘要: |
| 海洋溢油事故发生后，及时准确地探测油污分布情况极为重要。无人机载多光谱探测海面油膜是高效的溢油监测手段之一，它能弥补卫星遥感的滞后性、精度低等不足，具有灵活性高、实时性强等优点。本研究研制了无人机载多光谱油污探测系统并进行了水面油膜机载探测实验，分别利用最大似然法、最小距离法以及光谱角填图法对成像结果进行分类，并将3种方法的分类结果进行精度评价，结果表明光谱角填图法总分类精度高于90%。利用该系统在小型渔港进行了海面溢油探测实验，基于光谱角填图法将原始图像进行分类。实验结果表明，该溢油探测方法是一种低成本、操作简单、分类精度高的非接触监测手段，能够满足目前海面溢油快速监控的需求，具有良好的应用前景。 |
| 关键词: 海洋测量学 多光谱相机 无人机 油污探测 分类方法 |
| DOI：10.3969/J.ISSN.2095-4972.2021.03.019 |
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| 基金项目:国家自然科学基金资助项目(61605033)；山东省自然科学基金资助项目(ZR2016FQ24) |
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| Classification method of sea surface oil spill using UAV multi-spectral camera |
| WANG Chang,YIN Songlin,GAO Yang,CUI Zihao,TIAN Zhaoshuo |
| (Institute of Marine Optoelectronic Equipment, Harbin Institute of Technology at Weihai, Weihai 264209, China;Institute of Marine Optoelectronic Equipment, Harbin Institute of Technology at Weihai, Weihai 264209, China; Shandong Institute of Shipbuilding Technology, Weihai 264209, China) |
| Abstract: |
| It is important to locate the oil spill and distribution of oil pollution timely and accurately after the oil spill accident. UAV (unmanned aerial vehicle) multi-spectral detection is one of the most effective methods for monitoring the oil spillage at sea surface, which can compensate the lag and low precise satellite remote sensing with flexibility and real-time advantages. In this study, a multispectral oil pollution detection system for UVAs was built and airborne detection experiments were carried out. Multi-spectral images were classified by maximum likelihood, minimum distance and spectral angle mapping. In addition, the classification results of the three methods were analyzed. It demonstrated that the total classification accuracy of the spectral angle mapping exceeded 90%. The system was used to detect oil spill in a fishery harbor and the original images were classified based on the spectral angle mapping. The experiment shows that the oil spill detection method has advantages of low cost, non-contact, simple operation and high classification accuracy. Thus it can meet the needs monitoring the sea oil spill quickly and has a good application prospect. |
| Key words: marine survey multi-spectral camera UAV remote sensing oil spill detection classification method |
