Boshir Ahmed, Md. Fayzur Rahman

Automatic Road Extraction

Automatic Road Extractions from High Resolution Satellite Imagery Using Road Intersection Model in Urban and Semi-Urban

• Broschiertes Buch

Produktbeschreibung

This paper proposes intersection model and strategy for road extraction from high resolution satellite images. Satellite images are rich in information. For Geographic Information System (GIS), many features require fast and reliable extraction of roads and intersections. They are also complex to analyze. Satellite image provides useful data that is extracted from satellite image of the urban area. Automatic extraction of the road intersections from the urban areas has been a challenging topic because the high resolution satellite images contain multiple layers that represent roads, buildings, and other high density objects. Our goals is to automatically separate the road layer from the other layers then extract the road intersections. Usually traditional image processing methods don t achieve satisfied performance in case of satellite images. This paper proposes a modified and a cost effective method for road extraction from high resolution satellites images.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Aufl.
• Seitenzahl: 92
• Erscheinungstermin: 18. Oktober 2011
• Englisch
• Abmessung: 220mm x 150mm x 6mm
• Gewicht: 155g
• ISBN-13: 9783846535080
• ISBN-10: 3846535087
• Artikelnr.: 34973015

Autorenporträt

Boshir Ahmed is an assistant professor in the department of Computer Science & Engineering at Rajshahi University of Engineering & Technology (RUET), Bangladesh. His research interests include Digital Image Processing, Digital Signal Processing, Microprocessor Based System Design, Digital System Design and Computer Networking.