An Adroit Detection of Vegetation Index Covered in Remote Sensing Images

Authors(3) :-Dr. D. Napoleon, M. Sivaranjani, R. Saikumar

Detecting the vegetation of land covers with plants and so are determined with the help of image using image processing. Image processing is a common technique which can be used in the field of remote sensing. The presence of vegetation has been detected from an image which can be captured and recorded from the ground to detect the presence of vegetation in a particular region. In this paper, the presence of vegetation covering the land by plants and most biotic elements of biosphere have been detected from the particular region through an image. There are number of researches using the method of vegetation detection are using NIR images which can be particularly suitable for detecting vegetation. Our method uses the features of an image from the visible spectrum of color satellite images. Main intention is to identify the texture feature set for the problematic in vegetation detection. The detection of vegetation is implemented using an algorithm called Normalised Difference Vegetation Index (NDVI).

Authors and Affiliations

Dr. D. Napoleon
Assistant Professor, Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India
M. Sivaranjani
Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India
R. Saikumar
Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India

Image Analysis, Remote Sensing Images, NDVI, NIR and Vegetation Detection.

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 483-487
Manuscript Number : CSEIT1952113
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. D. Napoleon, M. Sivaranjani, R. Saikumar, "An Adroit Detection of Vegetation Index Covered in Remote Sensing Images", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.483-487, March-April-2019.
Journal URL : http://ijsrcseit.com/CSEIT1952113

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