Road Eztraction in Remote Sensing Images based on Nonsubsampled Contourlet Transform
A new method for automated road extraction in remote sensing images is proposed based on Nonsubsampled contourlet Transform (NSCT).Due to the advantages of multi-scale,multi-direction and translation invariance,NSCT is much efficient for the capture of linear singularity of road target. A pixel-wised feature extraction algorithm is given first based on the analysis of the NSCT coefficient responses for the road target.Final results can be achieved by the simple fuzzy C-means clustering and the postprocessing steps.Experimental results demonstrate that our method outperforms other methods such as Gabor wavelet in accuracy,localization and false detection.
Nonsubsampled Contourlet Transform (NSCT) road eztraction linear singularity
Hua Zhong Yingtao Feng Licheng Jiao
Key Laboratory of Intelligent Perception and Image Understanding of theMinistry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xian,710071,China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
880-883
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）