Runway Detection in High Resolution Remote Sensing Data

Jackson, P. T.G., Nelson, C. , Schiefele, J. and Obara, B. (2015) Runway Detection in High Resolution Remote Sensing Data. In: 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), Zagreb, Croatia, 07-09 Sep 2015, pp. 170-175. ISBN 9781467380324 (doi: 10.1109/ISPA.2015.7306053)

Abstract

Runways are vital descriptive features of airports and knowledge of their location is important to many aviation and military applications. With the recent wide availability of remote sensing data, there is demand for an automatic process of extracting runway geometry from satellite imagery. In particular, Very High Resolution (VHR) data makes it feasible to extract a runway's area precisely. In this paper we establish a novel method for accurate and precise extraction of geometric polygons for an arbitrary number of runways in VHR remote sensing imagery. Validated results are demonstrated for a dataset of twelve images of six different airports, at 61 cm resolution from the QuickBird II satellite.

• Item Type: Conference Proceedings
• Additional Information: This research was supported by Jeppesen, a Boeing Company; grant number RF081BO.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Nelson, Dr Chas
• Authors: Jackson, P. T.G., Nelson, C., Schiefele, J., and Obara, B.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: 9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015
• ISSN: 1845-5921
• ISBN: 9781467380324
• Published Online: 26 October 2015
• Copyright Holders: Copyright © 2016 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher