A study on the use of SAR polarimetric data to observe oil spills

M. Migliaccio, M. Tranfaglia
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引用次数: 2

Abstract

In this paper a new procedure to discriminate different surface films by means of SAR polarimetric data is proposed. SAR data were acquired on October 11, 1994 during SIR-C/X-SAR mission, named SRL-2. The dark features characterizing different surface films are analysed using eigenvalues and eigenvectors of the coherence matrix. Results of this study give rise to the conclusions that SAR polarimetric data are a key tool to discriminate oil spills from biogenic/anthropogenic surface films to reduce the number of false alarms.
利用SAR极化数据观测石油泄漏的研究
本文提出了一种利用SAR极化数据判别不同表面膜的新方法。SAR数据是在1994年10月11日在SIR-C/X-SAR任务期间获得的,命名为SRL-2。利用相干矩阵的特征值和特征向量分析了表征不同表面薄膜的暗特征。本研究的结果表明,SAR极化数据是区分石油泄漏与生物/人为表面膜的关键工具,可以减少误报的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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