An Efficient Method For Road Extraction For Urban Planning
نویسندگان
چکیده
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. 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 ARESI project. A Hybrid Simple Colour Space Segmentation and Edge Detection (Hybrid SCSSEDGE) algorithm was developed to extract roads automatically from satellite-taken images. 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.
منابع مشابه
An Efficient Road Tracking from Aerial Images by Means of Filter Methods
To many geographic systems (GIS) application scheme such as urban planning and navigation, updating road network database is critical problem. Rapidly changing urban environments accelerate the need for frequent updates or revisions of road network databases. With the advent of high-resolution satellite images, there has been a resurgence of research interest in road extraction techniques. Howe...
متن کاملAutomatic Extraction of Road Networks based on Normalized cuts and Mean Shift method for high resolution Satellite Imagery
To evaluate the speed of growth of an urban area road is one of the fast information updating element during urban development. Road information extraction based on high resolution satellite images play an important role because roads affect city land usage. In this paper, two approaches for road network extraction for an urban are proposed. Most research in road extraction begins with an origi...
متن کاملUrban Sprawl Pattern and Its Implications for Urban Management (Case Study: Zaria Urban Area, Nigeria)
Urban sprawl, or the unplanned and uncontrolled spreading out of built-up areas in Zaria urban area causes problems of congestion, poor urban basic infrastructure delivery and poor urban planning. This paper analyzed the pattern and implications of urban sprawl using GIS and Remote sensing as an improved approach to analyze and explain sprawling beyond the traditional spatial or cartographic ma...
متن کاملSpatial Evaluation of Energy Performance at Neighborhood Scale Case study: Sanandaj city
Climate change has become a challenge with adverse impacts on the Earth. Reducing the use of fossil fuel is a primary step to solve environmental problems. As the population continues to rise, to meet the growing demand for construction with a large share in energy Consumption, Efforts to make the built environment more energy efficient is crucial. The main objective of this research is to eval...
متن کاملAutomatic Road Extraction based on Level Set,Normalized Cuts and Mean Shift Methods
The Urban population is growing so fast in India that planning officials are racing to keep up with urban development .Use of geographic information like satellite imagery helps urban planners manage the ever-changing urban environment accurately and efficiently. Roads are one of the most important features to be extracted from Satellite imagery for urban planning. Manual extraction of roads is...
متن کامل