Runway Extraction Method Based on Rotating Projection for UAV

被引：3

作者：

Guan, Zhen-yu ^{[1
]}

Li, Jie ^{[1
]}

Yang, Huan ^{[1
]}

机构：

[1] Beijing Electromech Engn Inst, Beijing 100074, Peoples R China

来源：

PROCEEDINGS OF THE 6TH INTERNATIONAL ASIA CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT INNOVATION, VOL 2: INNOVATION AND PRACTICE OF INDUSTRIAL ENGINEERING AND MANAGMENT | 2016年

关键词：

Improved K-means clustering algorithm runway extraction; Line detection; Rotating projection method;

D O I：

10.2991/978-94-6239-145-1_30

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We bring out a runway extraction method based on rotating projection in this paper, which consists of three steps, locating the Region of interest (ROI), edge extraction and line detection. Firstly we employ template matching to locate the ROI which contains the runway area. Then we use Sobel operator to extract edges. The rotating projection algorithm is proposed to seek the potential straights in ROI, which will be integrated into the real straights by means of improved K-means clustering method. Simulations are carried out in the end, and results show that the algorithm proposed in this paper can extract the four boundaries of the runway effectively, while it can reduce 50 % of computing time compared with Hough transform.

引用

页码：311 / 324

页数：14

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