PRINT (ISSN) 2319-1783
ONLINE (ISSN) 2320-1126
ONLINE (ISSN) 2320-1126
Supreet Kaur*, Seema Baghla
Abstract:
Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road network extraction techniques have significantly increased the extraction rate of road networks. The road detection performance is a critically affected by the noise or low frequency images. Road edge detection plays an significant role to detect the direction of the road and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several road detection techniques are theoretically analyzed, and are used for road detection. By comparing some well known techniques it is found that there exist many gaps in the techniques proposed so far. This paper ends up with suitable future direction to enhance the road detection method.
https://doi.org/10.62226/ijarst20130154
PAGES : 59-62 | 38 VIEWS | 89 DOWNLOADS
Supreet Kaur*, Seema Baghla | Automatic Road Detection of Satellite Images- a Survey | DOI : https://doi.org/10.62226/ijarst20130154
| Journal Frequency: | ISSN 2320-1126, Monthly | |
| Paper Submission: | Throughout the month | |
| Acceptance Notification: | Within 6 days | |
| Subject Areas: | Engineering, Science & Technology | |
| Publishing Model: | Open Access | |
| Publication Fee: | USD 60 USD 50 | |
| Publication Impact Factor: | 6.76 | |
| Certificate Delivery: | Digital |
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