This paper presents a new runway recognition approach based on the above step. Firstly, we used morphologic enhanced the airport images.
在已检测出机场的基础之上，介绍了一种新的有针对性的跑道识别方案。
参考来源 - 遥感图像中机场识别与毁伤分析研究Considered real-time request of the vision-based on guidance system when the unmanned air vehicle is landing, we has studied support vector machine system for runway recognition based on small sample training.
考虑无人飞行器下降过程中视觉导航系统实时性要求，研究了基于小样本学习训练的机跑道识别系统。
参考来源 - 基于视觉信息的无人飞行器自主着陆导航系统的关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
针对机场跑道的直线段特征，提出了一种有效的基于边缘图像的机场跑道识别算法。
Considered the linear feature of runway, an effective algorithm of runway recognition based on edge map was presented.
针对机场的跑道成像是线状结构和高灰度值的特征，提出了一种基于多尺度线状目标强化的机场跑道识别算法。
An algorithm of automatic runway recognition based on multi-scale linear object enhancement is presented according to runway characters of linear structure and high intensity.
此方法首先进行基于对比度特征的跑道识别，通过定义恰当的跑道对比度特征，采用两种判别准则对此对比度特征进行分类。
First, it USES runway recognition based on contrast, which defines a contrast metric and then USES two discriminances to classify this contrast metric.
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