首页> 外文会议>ISPRS Technical Commission VIII Mid-Term Symposium >STUDY OF OIL SPILL IN NORWEGIAN AREA USING DECOMPOSITION TECHNIQUES ON RISAT-1 HYBRID POLARIMETRIC DATA
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STUDY OF OIL SPILL IN NORWEGIAN AREA USING DECOMPOSITION TECHNIQUES ON RISAT-1 HYBRID POLARIMETRIC DATA

机译:使用分解技术在Risat-1混合极偏振数据上使用分解技术研究挪威地区的漏油

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Over past few years Synthetic Aperture Radar(SAR) has received a considerable attention for monitoring and detection of oil spill due to its unique capabilities to provide wide-area surveillance and day and night measurements, almost independently from atmospheric conditions. The critical part of the oil spill detection is to distinguish oil spills from other natural phenomena. Stokes vector analysis of the image data is studied to estimate the polarized circular and linear components of the backscatter signal which essentially utilize the degree of polarization(m) and relative phase(δ) of the target. In a controlled oil spill experiment conducted at Norwegian bay during 17th to 22nd June 2014, RISAT-1 hybrid polarimetry images were utilized to study the characteristics of oil spill in the sea. The preliminary results obtained by using polarimetric decomposition technique on hybrid polarimetric data to decipher the polarimetric characteristics of oil spills from natural waters are discussed in the paper.
机译:在过去的几年里,合成孔径雷达(SAR)由于其独特的能力来监测和检测石油泄漏的监测和检测,以便提供广域监控和日夜测量,几乎独立地从大气条件下独立。漏油泄漏检测的关键部分是区分溢油从其他自然现象。研究了图像数据的斯托克斯矢量分析,以估计反向散射信号的偏振圆形和线性分量,其基本上利用偏振度(m)和目标的相对相(δ)。在2014年6月17日至22日在挪威湾进行的受控漏油​​泄漏实验中,利用RISAT-1杂交偏振偏振物图像研究海中的漏油的特性。本文讨论了通过在混合极性数据上使用偏振分解技术获得的初步结果,以破译自然水域的溢油的钢溢出的偏振特性。

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