基于机载高光谱遥感数据的溢油信息提取方法

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大连海事大学学报 ›› 2014, Vol. 40 ›› Issue (1) : 89-92.

刘丙新,张志达,李颖,陈澎

作者信息 +

Extraction method of oil spill information using airborne hyper-spectral remote sensing data

LIU Bing-xin, ZHANG Zhi-da, LI Ying, CHEN Peng

Author information +

文章历史 +

摘要

为减少高光谱遥感数据处理波段,提高处理效率,提出一种基于最小噪声分离波谱的决策树分类方法.利用最小噪声分离变换(MNF)降低数据冗余度,并将图像噪声分离,通过分析各地物的MNF特征值,建立分类决策树,并提取了油膜相对厚度等信息.结果表明,该方法保证了识别精度,有效利用了光谱维信息,明显减小了数据处理时间,从而将高光谱数据用于溢油应急快速产品的生产中.

Abstract

Decision tree classification method was proposed on basis of the minimum noise fraction(MNF) to reduce dimensions of hyper-spectral remote sensing data and improve processing efficiency. The data redundancy was reduced by means of MNF, and the figure noise was separated. The decision tree was established according to analyzing landmarks’ MNF eigenvalue, and the relative thickness of the oil film was extracted. The results show that the method mentioned could ensure recognition accuracy, achieve effective use of spectral dimension information, as well as reduce the processing time significantly, so as to make the quick products for oil spill response by using hyper-spectral data.

导出引用

刘丙新, 张志达, 李颖, 陈澎. 基于机载高光谱遥感数据的溢油信息提取方法[J]. 大连海事大学学报. 2014, 40(1): 89-92

LIU Bing-xin, ZHANG Zhi-da, LI Ying, CHEN Peng. Extraction method of oil spill information using airborne hyper-spectral remote sensing data[J]. Journal of Dalian Maritime University. 2014, 40(1): 89-92

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