Segmentation and Detection of Roads in Mountainous Terrain Using Satellite Images: Survey

  Priyanka Tiwari

Street systems assume a vital part in various geospatial applications, for example, cartographic, framework arranging and movement steering programming. Programmed and self-loader street system extraction strategies have fundamentally expanded the extraction rate of street systems. The street location execution is a discriminatingly influenced by the low recurrence pictures. Street edge location assumes a critical part to recognize the heading of the street and the particular area of deterrents, size and rate of snags in the street. In this paper, a few street location methods are hypothetically dissected, and are utilized for street recognition. By looking at some remarkable procedures it is observed that there exist numerous crevices in the methods proposed in this way. This paper winds up with suitable future course to improve the street discovery strategy.

Keywords- Automatic road extraction, High resolution satellite image, Intersection detection, imagery, Remote sensing, Urban area, Morphology.

Unique Identification Number - IJEDR1502205
Page Number(s) - 1246-1252
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Priyanka Tiwari,   "Segmentation and Detection of Roads in Mountainous Terrain Using Satellite Images: Survey", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1246-1252, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502205.pdf