Automatic Road Network Recognition and Extraction for Urban Planning
The uses of road map in daily activities are numerous but it is a hassle to construct and update a road map whenever there are changes. In Universiti Malaysia Sarawak, research on Automatic Road Extraction (ARE) was explored to solve the difficulties in updating road map. The research started wi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
WASET
2009
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17799/ http://ir.unimas.my/id/eprint/17799/1/Automatic%20Road%20Network%20Recognition%20%28abstract%29.pdf |
| _version_ | 1848838371353296896 |
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| author | Bong, David B L Lai, K.C. Joseph, A. |
| author_facet | Bong, David B L Lai, K.C. Joseph, A. |
| author_sort | Bong, David B L |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | The uses of road map in daily activities are numerous
but it is a hassle to construct and update a road map whenever there
are changes. In Universiti Malaysia Sarawak, research on Automatic
Road Extraction (ARE) was explored to solve the difficulties in
updating road map. The research started with using Satellite Image
(SI), or in short, the ARE-SI project. A Hybrid Simple Colour Space
Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm
was developed to extract roads automatically from satellite-taken
images. In order to extract the road network accurately, the satellite
image must be analyzed prior to the extraction process. The
characteristics of these elements are analyzed and consequently the
relationships among them are determined. In this study, the road
regions are extracted based on colour space elements and edge details
of roads. Besides, edge detection method is applied to further filter
out the non-road regions. The extracted road regions are validated by
using a segmentation method. These results are valuable for building
road map and detecting the changes of the existing road database.
The proposed Hybrid Simple Colour Space Segmentation and Edge
Detection (Hybrid SCSS-EDGE) algorithm can perform the tasks
fully automatic, where the user only needs to input a high-resolution
satellite image and wait for the result. Moreover, this system can
work on complex road network and generate the extraction result in
seconds. |
| first_indexed | 2025-11-15T06:54:29Z |
| format | Article |
| id | unimas-17799 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:54:29Z |
| publishDate | 2009 |
| publisher | WASET |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-177992017-09-27T03:14:53Z http://ir.unimas.my/id/eprint/17799/ Automatic Road Network Recognition and Extraction for Urban Planning Bong, David B L Lai, K.C. Joseph, A. TA Engineering (General). Civil engineering (General) The uses of road map in daily activities are numerous but it is a hassle to construct and update a road map whenever there are changes. In Universiti Malaysia Sarawak, research on Automatic Road Extraction (ARE) was explored to solve the difficulties in updating road map. The research started with using Satellite Image (SI), or in short, the ARE-SI project. A Hybrid Simple Colour Space Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm was developed to extract roads automatically from satellite-taken images. In order to extract the road network accurately, the satellite image must be analyzed prior to the extraction process. The characteristics of these elements are analyzed and consequently the relationships among them are determined. In this study, the road regions are extracted based on colour space elements and edge details of roads. Besides, edge detection method is applied to further filter out the non-road regions. The extracted road regions are validated by using a segmentation method. These results are valuable for building road map and detecting the changes of the existing road database. The proposed Hybrid Simple Colour Space Segmentation and Edge Detection (Hybrid SCSS-EDGE) algorithm can perform the tasks fully automatic, where the user only needs to input a high-resolution satellite image and wait for the result. Moreover, this system can work on complex road network and generate the extraction result in seconds. WASET 2009 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17799/1/Automatic%20Road%20Network%20Recognition%20%28abstract%29.pdf Bong, David B L and Lai, K.C. and Joseph, A. (2009) Automatic Road Network Recognition and Extraction for Urban Planning. International Science Index, Civil and Environmental Engineering, 3 (5). ISSN 2409-0441 https://www.researchgate.net/publication/255574786 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Bong, David B L Lai, K.C. Joseph, A. Automatic Road Network Recognition and Extraction for Urban Planning |
| title | Automatic Road Network Recognition and Extraction for Urban Planning |
| title_full | Automatic Road Network Recognition and Extraction for Urban Planning |
| title_fullStr | Automatic Road Network Recognition and Extraction for Urban Planning |
| title_full_unstemmed | Automatic Road Network Recognition and Extraction for Urban Planning |
| title_short | Automatic Road Network Recognition and Extraction for Urban Planning |
| title_sort | automatic road network recognition and extraction for urban planning |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://ir.unimas.my/id/eprint/17799/ http://ir.unimas.my/id/eprint/17799/ http://ir.unimas.my/id/eprint/17799/1/Automatic%20Road%20Network%20Recognition%20%28abstract%29.pdf |