Image Segmentation in Real Aperture Low-THz Radar Images
Image Segmentation in Real Aperture Low-THz Radar Images
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DOI：
10.23919/irs.2019.8768106
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
L. Daniel;D. Phippen;E. Hoare;M. Cherniakov;M. Gashinova
中科院分区：
文献类型：
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作者：
L. Daniel;D. Phippen;E. Hoare;M. Cherniakov;M. Gashinova
本文给出了一种基于实孔径低太赫兹高分辨率雷达图像分割方法的概念证明，最终确定了自主车辆路径规划中可穿越的自由空间。介绍了一种基于超像素统计均值直方图阈值的分割方法，并将其应用于候选高分辨率雷达图像，以显示区域发现的潜力。然后对分割后的图像进行定性分析，讨论了阴影和异常统计区域等与危险区域识别相关的特征，以进行路径规划。
This paper presents the proof of concept of a methodology for radar image segmentation in real aperture low-THz high resolution radar imagery, ultimately as a method to identify traversable free space for path planning for autonomous vehicles. The segmentation method, based on histogram thresholding of super-pixel statistical means is described and then applied to candidate high resolution radar images to show the potential for region finding. The subsequently segmented images are then qualitatively analysed, relevant features such as shadow and anomalous statistical regions are discussed related to identification of hazard areas for path planning.