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An Effective Method for Bridge Detection from Satellite Imagery

机译:一种有效的卫星图像桥梁检测方法

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In this paper, an integrated algorithm to detect bridge objects over rivers was introduced for satellite imagery interpretation. It is composed of two steps: first, segment the river from complex background using data driven strategy; second, detect the bridges in the shrink searching area using knowledge driven strategy. Considering the ubiety of the bridges and the surroundings, this paper focused on the water recognition based on feature extraction. By analogy with the lowest combinative energy according to the biological principle, we proposed brand new criteria which discussed the interrelationship of features. The assess method is adopted in the feature extraction of object image and the optimal combination of water body features is achieved. 50 real satellite images have been tested. Experiment results showed that the method improved the water recognition and therefore increased effectiveness of bridge detection.
机译:本文介绍了一种用于检测河流上桥梁物体的集成算法,用于卫星图像解释。它由两个步骤组成:首先,使用数据驱动策略从复杂背景中分割河流;其次,使用知识驱动策略来检测缩小搜索区域中的桥梁。考虑到桥梁和周围环境的普遍性,本文重点研究基于特征提取的水识别。通过根据生物学原理以最低的组合能量进行类比,我们提出了全新的标准来讨论特征之间的相互关系。在目标图像特征提取中采用评估方法,实现了水体特征的最优组合。已测试了50张真实的卫星图像。实验结果表明,该方法提高了水的识别能力,从而提高了桥梁检测的有效性。

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