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Identifying Ships in Lembeh Strait based on Pi-SAR L-2 Airborne Campaign

机译:基于Pi-SAR L-2空降战役识别蓝贝海峡的船只

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Synthetic Aperture Radar (SAR) is one of the most promising satellite or airborne remote sensing sensor for monitoring of the earth surface at a regional to global scale. SAR has many useful characteristics for various applications, such as cloud-free and day-night observation capability, highly spatial resolution produced by the synthetic aperture technique, and polarimetric and interferometric information. In particular, cloud-free observation by SAR is a huge advantage for monitoring of humid tropical regions such as Indonesia. SAR is one technique in radar remote sensing that can be utilized for marine applications such as surface waves monitoring, ocean current circulation detection, oil slick monitoring and ship detection. In order to assess the ability of SAR technique for ship detection, we analyze SAR data acquired by full polarimetric and interferometric airborne SAR in L-band type-2 (Pi-SAR-L2) from Japan Aerospace Exploration Agency QAXA). This research explains the strategy in SAR data processing for ship detection application in Lembeh Strait, North Sulawesi Sea. It is found that long wavelength i.e. L-band is able to identify ships on the sea with incidence angle of radar beam greater then 50 degree gives the best signal clutter ratio between signal from the ship to sea clutter variation. The ship-sea contrast is more clearly at HH-polarized then VV-polarized due to the increased scatter at W-polarized by the surface capillary waves. The identification includes the size estimation and the location. It is also found that by combining SAR data with VMS (Vessel Monitoring System) data it is possible to identify ships without VMS and useful for improving security issue in fisheries sector. VMS data is for monitoring authorized fishing vessels and Pi-SAR data detect vessels not reporting through VMS.
机译:合成孔径雷达(SAR)是最有前途的卫星或机载遥感传感器之一,用于在区域到全球范围内监视地球表面。 SAR具有多种有用的特性,可用于各种应用,例如无云和昼夜观测功能,由合成孔径技术产生的高空间分辨率以及极化和干涉信息。特别是,通过SAR进行的无云观测是监测印度尼西亚等潮湿热带地区的巨大优势。 SAR是雷达遥感中的一种技术,可用于海洋应用,例如表面波监测,洋流环流检测,浮油监测和船舶检测。为了评估SAR技术在舰船检测中的能力,我们分析了由日本航天探索局QAXA的L波段2型(Pi-SAR-L2)的全极化和干涉式机载SAR获得的SAR数据。这项研究解释了北苏拉威西海Lembeh海峡的SAR数据处理策略在舰船检测中的应用。已经发现,长波长即L波段能够以雷达波束的入射角大于50度来识别海上的船舶,从而在船舶与海杂波变化之间的信号杂波比最佳。由于表面毛细波在W极化处的散射增加,在HH极化处和VV极化处的船海对比度更加清晰。标识包括大小估计和位置。还发现,通过将SAR数据与VMS(船舶监测系统)数据相结合,可以识别没有VMS的船舶,并且对于改善渔业部门的安全问题很有用。 VMS数据用于监视授权渔船,Pi-SAR数据检测未通过VMS报告的船只。

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