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A simulation-based approach towards automatic target recognition of high resolution space borne radar signatures

机译:基于模拟的高分辨率星载雷达信号自动识别目标方法

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Specific imaging effects that are caused mainly by the range measurement principle of a radar device, its much lower frequency range as compared to the optical spectrum, the slanted imaging geometry and certainly the limited spatial resolution complicates the interpretation of radar signatures decisively. Especially the coherent image formation which causes unwanted speckle noise aggravates the problem of visually recognizing target objects. Fully automatic approaches with acceptable false alarm rates are therefore an even harder challenge. At the Microwaves and Radar Institute of the German Aerospace Center (DLR) the development of methods to implement a robust overall processing workflow for automatic target recognition (ATR) out of high resolution synthetic aperture radar (SAR) image data is under progress. The heart of the general approach is to use time series exploitation for the former detection step and simulation-based signature matching for the subsequent recognition. This paper will show the overall ATR chain as a proof of concept for the special case of airplane recognition on image data from the space borne SAR sensor TerraSAR-X.
机译:特定的成像效果主要是由雷达设备的距离测量原理,与光谱相比要低得多的频率范围,倾斜的成像几何形状以及有限的空间分辨率所引起的,决定性地使雷达信号的解释复杂化。特别是,引起不希望的斑点噪声的相干图像形成加剧了视觉上识别目标物体的问题。因此,具有可接受的误报率的全自动方法是一个更大的挑战。在德国航空航天中心(DLR)的微波和雷达研究所,正在开发用于实现高分辨率合成孔径雷达(SAR)图像数据中的自动目标识别(ATR)的强大总体处理工作流程的方法。一般方法的核心是将时间序列开发用于前一个检测步骤,并将基于仿真的签名匹配用于后续的识别。本文将展示整个ATR链,以作为对来自机载SAR传感器TerraSAR-X的图像数据进行飞机识别的特殊情况的概念证明。

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