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
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Abstract
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.
| Item Type: | Article |
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| Uncontrolled Keywords: | Road Network Recognition, Colour Space, Edge research, Universiti Malaysia Sarawak, Detection, Urban Planning, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 27 Sep 2017 03:14 |
| Last Modified: | 27 Sep 2017 03:14 |
| URI: | http://ir.unimas.my/id/eprint/17799 |
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