Runway detection in high resolution remote sensing data

Jackson, Philip T.G.; Nelson, Carl J.; Schiefeley, Jens; Obara, Boguslaw

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.

Citation

Jackson, P. T., Nelson, C. J., Schiefeley, J., & Obara, B. (2015, September). Runway detection in high resolution remote sensing data. Presented at 9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 9th International Symposium on Image and Signal Processing and Analysis
• Start Date: Sep 7, 2015
• End Date: Sep 9, 2015
• Publication Date: Sep 9, 2015
• Deposit Date: Oct 12, 2015
• Publicly Available Date: Oct 28, 2015
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 170-175
• Book Title: ISPA 2015 : 9th International Symposium on Image and Signal Processing and Analysis, 7-9 September 2015, Zagreb, Croatia ; proceedings.
• DOI: https://doi.org/10.1109/ispa.2015.7306053
• Public URL: https://durham-repository.worktribe.com/output/1151835
• Additional Information: Conference date: 7-9 September 2015.