DocumentCode :
3677395
Title :
Runway detection in High Resolution remote sensing data
Author :
Philip T.G. Jackson;Carl J. Nelson;Jens Schiefele;Boguslaw Obara
Author_Institution :
School of Engineering and Computer Sciences, Durham University, UK
fYear :
2015
Firstpage :
170
Lastpage :
175
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.
Keywords :
"Image edge detection","Airports","Remote sensing","Image resolution","Signal processing algorithms","Standards","Signal processing"
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on
ISSN :
1845-5921
Type :
conf
DOI :
10.1109/ISPA.2015.7306053
Filename :
7306053
Link To Document :
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