Perceptual grouping of regular structures for automatic detection of man-made objects
Perceptual grouping of regular structures for automatic detection of man-made objects
复制标题
用于自动检测人造物体的规则结构的感知分组
DOI：
10.1109/igarss.2003.1294842
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
K. Schulz
中科院分区：
文献类型：
--
作者：
Uwe Stilla;E. Michaelsen;U. Soergel;K. Schulz
人类观察者在视觉光谱域图像以及红外或合成孔径雷达图像中感知人造物体。感知分组等机制对于这种能力至关重要。本文讨论了在不同图像源中进行分组的两个示例。第一个例子是根据热红外图像估计城市地区的活动。车辆沿道路边缘分组成行。另一个例子与利用 InSAR 数据检测工业建筑有关。此类建筑物的屋顶上经常显示出强散射体的明显规则图案。先前的分割使用强度、高度和一致性信息来提取建筑线索。强散射体被点检测器过滤并通过簇结构进行定位。这些散射体通过使用建筑物线索的轮廓作为背景的过程按行分组。
Human observers perceive man-made objects in images from the visual spectrum domain as well as in IR or SAR imagery. Mechanisms like perceptual grouping are crucial to this capability. In this paper two examples for grouping in different image sources are discussed. The first example is activity estimation in urban areas from thermal IR images. The grouping of vehicles into rows is performed along the margins of the roads. The other example is related to the detection of industrial buildings from InSAR data. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localized by a cluster formation. These scatterers are grouped in rows by a process that uses the contours of the building cues as context.