TY - GEN
T1 - An airport runway centerline location method for one-off aerial imaging system
AU - Ge, Shule
AU - Xu, Tingfa
AU - Ni, Guoqiang
AU - Shao, Xiaoguang
PY - 2010
Y1 - 2010
N2 - An airport runway centerline location method is proposed for extracting airport runway in images from one-off aerial imaging system. One-off aerial imaging system captures image at an altitude about one kilometer or below, thus detailed feature of the scenery reveals itself clearly. The proposed method relies on this precondition to detect and locate centerline of airport runway. This method has four steps: edge detection, dominating line orientation extraction, distance histogram building and centerline location. A salient edge detection method is developed with Sobel detector, which could detect edges of runway strips at the disturbance of edges features from surrounding objects. Then, a traditional Hough transform is performed to build a Hough map, within which the dominating line orientation is extracted. After getting the dominating line orientation, a reference straight line is chosen for building distance histogram. This distance histogram is a one-dimensional one, built up with the distance of all edge pixels in the edge map to the reference line. Airport centerline has a three-peak pattern in the one-dimensional distance histogram, and the center peak is corresponding to the centerline of airport runway. Experiments with simulated images show this method could location airport runway centerline effectively.
AB - An airport runway centerline location method is proposed for extracting airport runway in images from one-off aerial imaging system. One-off aerial imaging system captures image at an altitude about one kilometer or below, thus detailed feature of the scenery reveals itself clearly. The proposed method relies on this precondition to detect and locate centerline of airport runway. This method has four steps: edge detection, dominating line orientation extraction, distance histogram building and centerline location. A salient edge detection method is developed with Sobel detector, which could detect edges of runway strips at the disturbance of edges features from surrounding objects. Then, a traditional Hough transform is performed to build a Hough map, within which the dominating line orientation is extracted. After getting the dominating line orientation, a reference straight line is chosen for building distance histogram. This distance histogram is a one-dimensional one, built up with the distance of all edge pixels in the edge map to the reference line. Airport centerline has a three-peak pattern in the one-dimensional distance histogram, and the center peak is corresponding to the centerline of airport runway. Experiments with simulated images show this method could location airport runway centerline effectively.
KW - Aerial imaging system
KW - Distance histogram
KW - Edge detection
KW - Runway location
UR - http://www.scopus.com/inward/record.url?scp=78651067734&partnerID=8YFLogxK
U2 - 10.1117/12.870071
DO - 10.1117/12.870071
M3 - Conference contribution
AN - SCOPUS:78651067734
SN - 9780819483805
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optoelectronic Imaging and Multimedia Technology
T2 - Optoelectronic Imaging and Multimedia Technology
Y2 - 18 October 2010 through 20 October 2010
ER -