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Single-pass polarimetric SAR interferometry for vessel classification

机译:单通道极化saR干涉法用于血管分类

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摘要

This paper presents a novel method for vessel classification based on single-pass polarimetric synthetic aperture radar (SAR) interferometry. It has been developed according to recent ship scattering studies that show that the polarimetric response of many types of vessels can be described by trihedral- and dihedral-like mechanisms. The adopted methodology is quite simple. The input interferometric data are decomposed in terms of the Pauli basis, and hence, one height image is derived for each simple mechanism. Then, the local maxima of these images are isolated, and a 3-D map of scatters is generated. The correlation of this map with the scattering distribution expected for a set of reference ships provides the final classification decision. The performance of the proposed method has been tested with the orbital SAR simulator developed at Universitat PolitÈcnica de Catalunya. Different vessel models have been processed with a sensor configuration similar to the incoming TanDEM-X system. The analysis of diverse vessel bearings, vessel speeds, and sea states shows that the map of scatters matches reasonably the geometry of ships allowing a correct identification even for adverse environmental conditions.
机译:本文提出了一种基于单通极化合成孔径雷达(SAR)干涉测量法的船只分类新方法。它是根据最近的船舶散射研究开发的,该研究表明可以通过三面体和二面体机制描述多种类型船舶的极化响应。采用的方法很简单。输入的干涉测量数据根据泡利(Pauli)基准进行分解,因此,对于每种简单的机制都可以得出一个高度图像。然后,隔离这些图像的局部最大值,并生成散射的3-D映射。该图与一组参考船的预期散射分布的相关性提供了最终的分类决策。加泰罗尼亚政治大学开发的轨道SAR模拟器已经测试了该方法的性能。已使用与传入的TanDEM-X系统类似的传感器配置处理了不同的容器型号。对各种船舶轴承,船舶速度和海况的分析表明,散布图合理地匹配了船舶的几何形状,即使在不利的环境条件下也可以正确识别。

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