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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Azimuth Ambiguities Removal for Ship Detection Using Full Polarimetric X-Band SAR Data
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Azimuth Ambiguities Removal for Ship Detection Using Full Polarimetric X-Band SAR Data

机译：使用全极化X波段SAR数据去除方位角模糊度以进行船舶检测

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Synthetic aperture radar (SAR) ship detection is an important application in the field of maritime security. Azimuth ambiguities caused by the aliasing of the Doppler phase history of each point are often visible in SAR images particularly in ocean areas of low wind speed condition, e.g., in coastal areas, in harbors, etc. The main sources of azimuth ambiguities are man-made metallic structures over the ocean, e.g., ships, oil platforms etc., and over land near the coast, e.g., big tanks, bridges' pylons etc., that have a high SAR backscatter responses. Although the ambiguities' backscatter is generally low, in many situations, it is above the surrounding ocean clutter and are mistaken by classic detection techniques, like constant false alarm rate, as real targets causing false positives. This paper addresses both the discrimination of real targets from non-trivial false positives, namely those due to azimuth ambiguities and the detection itself using a Generalized- $K$ distribution approach. The methodology is firstly proposed and demonstrated over a significant data set of full polarimetric X-band SAR data, which have been acquired by the German satellite TerraSAR-X during the experimental dual receive antenna campaign in April and May 2010. It is based on the intrinsic configuration of monostatic two-channel PolSAR systems and relies on the different signature of azimuth ambiguities in cross-polarized channels. Automatic Identification System messages collected and collocated with the data set analyzed are used as ground truth to evaluate and validate the proposed methodology.
机译：合成孔径雷达（SAR）舰船检测是海上安全领域的重要应用。在SAR图像中通常可以看到由每个点的多普勒相位历史的混叠引起的方位角歧义，特别是在低风速条件下的海洋地区，例如在沿海地区，港口等。方位角歧义的主要来源是人-在海洋上制造出金属结构，例如船舶，石油平台等，在海岸附近的土地上制造出具有较高SAR反向散射响应的金属结构，例如大型储罐，桥梁的塔架等。尽管模糊度的反向散射通常较低，但在许多情况下，其高于周围的海洋混乱状况，并且被经典的检测技术（如恒定的误报率）误认为是导致误报的真实目标。本文讨论了从非平凡的误报对真实目标的辨别，即由于方位歧义而导致的误报，以及使用广义$ K $分布方法进行的检测本身。该方法首先在完整的极化X波段SAR数据的重要数据集上提出和证明，该数据集是在2010年4月和5月的实验性双接收天线运动期间由德国卫星TerraSAR-X采集的。单通道两通道PolSAR系统的固有配置，并依赖于交叉极化通道中方位模糊度的不同特征。收集并与分析的数据集并置的自动识别系统消息用作基础事实，以评估和验证所提出的方法。

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