Automated Iceberg Detection Using High-Resolution X-Band SAR Images
Automated Iceberg Detection Using High-Resolution X-Band SAR Images
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DOI：
10.1080/07038992.2016.1177451
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发表时间：
2016-01-01
影响因子：
2.6
通讯作者：
Lehner, Susanne
中科院分区：
文献类型：
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作者：
Frost, Anja;Ressel, Rudolf;Lehner, Susanne
.在北方纬度地区，冰山经常穿越航道，妨碍海上交通。为了改善船舶路由，我们探讨了一种算法的能力，该算法可以从德国雷达卫星TerraSAR-X提供的图像中检测和绘制冰山。TerraSAR-X位于近极地轨道，配备了一个有源X波段雷达天线，因此可以监测海洋和冰冻的沃茨，而不管云层和黑暗。我们采用的算法是基于迭代删失恒虚警率（IC-CFAR）检测器，这已被证明是有用的地面目标检测。与标准方法不同，我们不仅估计由概率密度函数表示的开放水域强度的统计特性，而且还搜索重复模式（即，waves）。这使得区分冰山从大多数错误的警报，从波涛汹涌的大海和强风。对2012年至2015年期间采集的一系列HH偏振TerraSAR-X条带图像进行的实验证实，由于在图像处理过程中考虑了波形，误报率降低了3倍。
. In northern latitudes, icebergs frequently cross shipping routes and impair marine traffic. To improve ship routing, we explore the capabilities of an algorithm that detects and charts icebergs from images provided by the German radar satellite TerraSAR-X. TerraSAR-X is in a near-polar orbit, equipped with an active X-Band radar antenna and, thus, allows monitoring the ocean and frozen waters regardless of cloud cover and darkness. The algorithm we apply is based on the iterative censoring constant false alarm rate (IC-CFAR) detector, which has proven its usefulness for terrestrial target detection already. Unlike the standard approach, we not only estimate statistical properties of open water intensities expressed by a probability density function, but also search for recurring patterns (i.e., waves). This allows discriminating icebergs from most false alarms that arise from rough sea and strong winds. Experiments carried out with a series of HH-polarized TerraSAR-X Stripmap images acquired between 2012 and 2015 confirm that, due to consideration of wave pattern during image processing, the false alarm rate is reduced by a factor of 3.