Land use identification model by using remote sensing images

Author

Kumar, Sudhakar ; Anouncia, M. ; Shah, Shalin ; Tripathi, Gaurav ; Varadarajan, A.

Author_Institution

Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India

fYear

2012

fDate

21-22 Dec. 2012

Firstpage

58

Lastpage

61

Abstract

The land cover of a certain geographical region keeps on changing with time. So it is essential to keep a track of the changes occurring there for development purposes. This research aims at calculating the land cover changes near Vellore district using LANDSAT images taken from 2003-2009. Image processing techniques are applied for getting the results like K means clustering and L*a*b color segmentation.

Keywords

artificial satellites; geographic information systems; geophysical image processing; image colour analysis; image segmentation; pattern clustering; terrain mapping; L*a*b color segmentation; LANDSAT images; Vellore district; geographical region land cover change detection; k-means clustering; land use identification model; remote sensing image processing techniques; Colored noise; Educational institutions; Histograms; Image color analysis; Remote sensing; Satellites; Vegetation mapping; K means clustering; LANDSAT; RGB; land cover;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, Communication and Computing (ICRCC), 2012 International Conference on

Conference_Location

Tiruvannamalai

Print_ISBN

978-1-4673-2756-5

Type

conf

DOI

10.1109/ICRCC.2012.6450548

Filename

6450548