Automatic Recognition of Bridge Above Water in Aerial Images Based on Regional Feature
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摘要: 针对二维欧氏空间内有向线的特点,将有向线对象区分为起点、内部和边界,建立了有向线对象之间拓扑关系与方向关系集成表达的DLR模型,并给出了一个具体应用实例。与现有模型进行对比分析发现,DLR模型不仅能描述二维空间中有向线对象之间的方向关系,还能够有效地区分相离、内部相交、相切、部分覆盖等拓扑关系,从而提高了有向线对象之间空间关系的区分能力。Abstract: Addressing the automatic recognition problem of a bridge above water in aerial images,an automatic recognition algorithm for a bridge above water in aerial image based on regional features is proposed.Firstly,aerial image binarization is executed based on the gradient mean square variance.The image noises are then removed based on pixel density.Next,the connective regions are labeled according to the pixels in binary image with a six neighborhood connection rule to obtain the water regional feature.Finally,the bridge is extracted.Experiments show this algorithm is effective for automatic recognition of a bridge above water in low-contrast aerial images taken at low altitudes.
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Keywords:
- aerial image
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