Title :
Study on Road Extraction Method in Remote Sensing Image
Author :
Xia, Wang ; Hongmei, Tang ; Yang, Yang ; Yuan, Li
Author_Institution :
Sch. of Inf. Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
A road extraction method combining radiation and topology feature is proposed. First, wavelet transform is used to remove noise and detail information which impact extraction of radiation feature. Then road and other objects with same spectrum are extracted by carrying out improved K-means clustering segmentation based on radiation feature. Next, rough road extraction is achieved by implementing area threshold segmentation based on topology feature. Finally, road skeleton is extracted through thinning. The results show that this approach is applied for road extraction.
Keywords :
feature extraction; geophysical image processing; image segmentation; image thinning; pattern clustering; remote sensing; roads; wavelet transforms; area threshold segmentation; detail information; k-means clustering segmentation; noise removal; radiation feature extraction; remote sensing image; road extraction method; road skeleton extraction; thinning; topology feature; wavelet transform; Industrial control; K-means clustering1; Remote sensing image; Road extraction; Wavelet transform;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.416
