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首页> 外文会议>Asian conference on remote sensingACRS >SATELLITE-BASED DETECTION OF OIL SPILL SIGNATURE RESIDUAL USING SYNERGY MULTISPECTRAL IMAGES OF LANDSAT-8 OLI AND LANDSAT-7 ETM+
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SATELLITE-BASED DETECTION OF OIL SPILL SIGNATURE RESIDUAL USING SYNERGY MULTISPECTRAL IMAGES OF LANDSAT-8 OLI AND LANDSAT-7 ETM+

机译：利用Synergy MultiSpectral and Landsat-8 Oli和Landsat-7 Etm +使用Synergy MultiSpectral图像的卫星基于卫星签名剩余的检测

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Satellite-based detection of oil spills is essential as it assists in reducing the risk of disasters occurring in the ocean environment to protect and reduce economic losses. The VIsible bands of Landsat-8 OLI and Landsat-7 ETM+ is a crucial means for detecting ocean oil spills that cause grave damage to the maritime ecosystem. Therefore, this study used the synergy of Landsat images to identify the residual oil spills along the Arabian Gulf region. Feature-based detection techniques by employing both region and point-based were adopted to compare with the multi-sensor's spatial-resolutions for detecting the oil spills. These multi-sensor data were used to extract the spill-pixels for signature's analyses. The variants against spill signatures were distinguished through calibration analysis. Results revealed that the pre-processed, as well as atmospherically corrected signatures of the spill, are reasonably agreed with the occurrence of spill records, demonstrating a high correlation (R~2 > 0.85, p < 0.001). The calibration matrices have been formulated to calibrate spill pixels for Landsat-8 OLI and Landsat-7 ETM+, which serves as a crucial input for oil spill monitoring system against local uncertainties from look-alikes. Hence, this study will attribute in fast-tracking 2025 agenda of target 14.1 (reduce marine pollution) of sustainable development goal 14th set by United Nation.
机译：基于卫星的漏油泄漏是必不可少的，因为它有助于降低海洋环境发生的灾害风险，以保护和减少经济损失。 Landsat-8 Oli和Landsat-7 Etm +的可见带是检测对海洋生态系统造成严重损害的海洋漏油的关键手段。因此，本研究使用了Landsat图像的协同作用来识别阿拉伯海湾地区的残留漏油。采用基于区域和基于点的基于特征的检测技术以与多传感器的空间分辨率进行比较，用于检测漏油泄漏。这些多传感器数据用于提取用于签名的溢出像素的分析。通过校准分析来区分对抗溢出签名的变体。结果表明，预处理的以及泄漏的大气校正签名，合理地同意溢出记录的发生，证明高相关（R〜2> 0.85，P <0.001）。已配制校准矩阵以校准Landsat-8 Oli和Landsat-7 ETM +的溢出像素，这用作储油监测系统免受视图的局部不确定性的关键投入。因此，本研究将归因于联合国可持续发展目标的快速跟踪目标14.1（减少海洋污染）。

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