基于LBP级联分类器的高分辨率图像混凝土和沥青跑道检测

Juliano E. C. Cruz, E. H. Shiguemori, L. Guimarães
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引用次数: 4

摘要

数字卫星图像中的自动目标识别不是一项简单的任务,因为在捕获过程和目标的外观和姿态中存在一些变化,因此,提出了不同的通用技术。本文研究了一种基于LBP增强级联分类器的高分辨率卫星图像跑道自动检测方法。在考虑尺度、旋转和不同传感器获得的图像变化的情况下,本文提出的方法获得了令人满意的结果。
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Concrete and Asphalt Runway Detection in High Resolution Images Using LBP Cascade Classifier
Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results are obtained with the methodology presented in this work, considering objects with variations of scale, rotation and images obtained by different sensors.
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