TY - GEN
T1 - Airfield runway detection from synthetic aperture radar image
AU - Fu, Yili
AU - Xing, Kun
AU - Han, Xianwei
AU - Zhang, Hongfeng
PY - 2008
Y1 - 2008
N2 - An algorithm of airfield runway detection from high resolution synthetic aperture radar image is proposed. Runways are identified by using Hough transform technique, followed by a series of speckle suppression and region of interest (ROI) segmentation. First, speckle suppression based on edge preserving is described. Then, constant false alarm rate detector with probability iteration is used for ROI segmentation. Finally, peak values detected from Hough transform domain determine the edge location of runway. High resolution images are used to illustrate the algorithm, and experimental results show that performance is satisfactory.
AB - An algorithm of airfield runway detection from high resolution synthetic aperture radar image is proposed. Runways are identified by using Hough transform technique, followed by a series of speckle suppression and region of interest (ROI) segmentation. First, speckle suppression based on edge preserving is described. Then, constant false alarm rate detector with probability iteration is used for ROI segmentation. Finally, peak values detected from Hough transform domain determine the edge location of runway. High resolution images are used to illustrate the algorithm, and experimental results show that performance is satisfactory.
UR - https://www.scopus.com/pages/publications/52149088996
U2 - 10.1109/CISP.2008.648
DO - 10.1109/CISP.2008.648
M3 - 会议稿件
AN - SCOPUS:52149088996
SN - 9780769531199
T3 - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
SP - 798
EP - 801
BT - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
T2 - 1st International Congress on Image and Signal Processing, CISP 2008
Y2 - 27 May 2008 through 30 May 2008
ER -