Title :
Road extraction in remote sensing images based on Nonsubsampled Contourlet Transform
Author :
Zhong, Hua ; Feng, Yingtao ; Jiao, Licheng
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of the Minist. of Educ. of China, Xidian Univ., Xi´´an, China
Abstract :
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.
Keywords :
feature extraction; fuzzy set theory; pattern clustering; remote sensing by radar; fuzzy C-means clustering; linear singularity; nonsubsampled contourlet transform; pixel-wised feature extraction algorithm; remote sensing images; road extraction; translation invariance; Anisotropic magnetoresistance; Data mining; Feature extraction; Filter bank; Information processing; Laboratories; Nonlinear filters; Remote sensing; Roads; Wavelet transforms; Nonsubsampled Contourlet Transform (NSCT); linear singularity; road extraction;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374196
