Name
Abstract | ||
|---|---|---|
Although edge detectors are useful for delineating the road areas in an image, no previous work in road extraction has demonstrated a comprehensive use of edge information. In this paper we propose a semi-automatic scheme that makes use of edge information to extract roads in high-resolution satellite images. A novel edge thinning and division algorithm is first applied to process edges in an image. With such processed edges, texture information, color information together with the user assistance, the proposed scheme is able to extract roads from an image with high reliability. This scheme can also make use of knowledge about road network topology to locate road areas. Experiments on high-resolution satellite images of different environmental settings show that our proposed scheme achieves high accuracy in identifying road areas. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIP.2005.1529831 | Image Processing, 2005. ICIP 2005. IEEE International Conference |
Keywords | Field | DocType |
edge detection,feature extraction,geophysical signal processing,image colour analysis,image resolution,image texture,image thinning,remote sensing,color information,division algorithm,edge detectors,edge thinning,edge utilization,high-resolution satellite imagery,road extraction,semiautomatic scheme,texture information,user assistance | Computer vision,Image gradient,User assistance,Satellite imagery,Feature detection (computer vision),Pattern recognition,Image texture,Edge detection,Computer science,Feature extraction,Artificial intelligence,Image resolution | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-9134-9 |
Citations | PageRank | References |
2 | 0.63 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongguan Xiao | 1 | 2 | 0.63 |
| Tiow-Seng Tan | 2 | 398 | 27.99 |
| Seng Chuan Tay | 3 | 74 | 10.36 |