Title :
Road extraction from high-resolution remote sensing images using wavelet transform and hough transform
Author :
XiaoLiang Yang ; GongJian Wen
Author_Institution :
ATR Key Lab., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Road extraction from high-resolution remote sensing images has been a challenging problem in ground object detection field. In this paper, an effective and anti-noise road extraction method by using wavelet transform and Hough transform is proposed. Firstly, wavelet transform is used for image denoising and detecting edges of roads. Then the image is segmented into road area and non-road area. Hough transform is used to extract roads after segmentation. Finally, the effectiveness of the method is testified by the results of the experiment.
Keywords :
Hough transforms; edge detection; feature extraction; geographic information systems; geophysical image processing; image resolution; image segmentation; remote sensing; roads; wavelet transforms; Hough transform; antinoise road extraction method; edge detection; ground object detection field; high-resolution remote sensing images; image denoising; image segmentation; road extraction; wavelet transform; Image edge detection; Image reconstruction; Noise; Remote sensing; Roads; Wavelet transforms; High-Resolution Remote Sensing Images; Hough Transform; Road Extraction; Wavelet Transform;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469890
