Paper Info
Title
Identification of Airfield Runways in Synthetic Aperture Radar Images
Abstract
Synthetic Aperture Radar (SAR) is a microwave-based remote sensing technique whereby images can be captured when optical images cannot, at night or when there is cloud cover. However, its very low signal-to-noise ratio (1:1) means that conventional image analysis techniques are unsuitable for SAR imagery. This paper presents a novel approach to the detection of very small objects in SAR imagery, which combines a pre-processing stage with a Hough transform analysis stage using contextual information to identify suitable 'signatures'. The result of this procedure is the fast and accurate identification of airfield runways. The method is based on the fact that the only reliable characteristic of airfield runways visible in SAR images is the location of lights along their sides.
Year
DOI
Venue
1998
10.1109/ICPR.1998.712030
ICPR
Keywords
Field
DocType
airfield runway,low signal-to-noise ratio,analysis stage,sar imagery,airfield runways,synthetic aperture radar images,conventional image analysis technique,sar image,accurate identification,contextual information,synthetic aperture radar,pre-processing stage,radar imaging,optical imaging,cloud cover,adaptive optics,signal to noise ratio,remote sensing,laser radar,hough transform,image analysis
Computer vision,Hough transforms,Radar imaging,Contextual information,Synthetic aperture radar,Computer science,Hough transform,Preprocessor,Artificial intelligence,Runway,Cloud cover
Conference
ISSN
ISBN
Citations 
1051-4651
0-8186-8512-3-2
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
ian finch100.68
Apostolos Antonacopoulos237836.45