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

fYear

2012

Firstpage

1578

Lastpage

1580

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4673-1450-3

Type

conf

DOI

10.1109/ICICEE.2012.416

Filename

6322706