UGC Approved Journal no 63975(19)

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Published in:

Volume 4 Issue 11
November-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1711008


Registration ID:
170827

Page Number

35-37

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Title

Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM

Abstract

Nanded have rapid development in every aspect. By using satellite images and application of remote sensing and GIS for land use and land cover change detection were used. For the analysis, ETM+, LISS3 and Landsat 8 images acquired from official websites Bhuvan and USGS. The main challenge in land use and land cover changes using the remote sensing data which how to provide the accurate and geospatial information. Traditionally pixel based classification was used by researchers but to get more accuracy we have implemented object based approach and machine learning algorithms for accuracy enhancement.

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"Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.35-37, November-2017, Available :http://www.jetir.org/papers/JETIR1711008.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp35-37, November-2017, Available at : http://www.jetir.org/papers/JETIR1711008.pdf

Publication Details

Published Paper ID: JETIR1711008
Registration ID: 170827
Published In: Volume 4 | Issue 11 | Year November-2017
DOI (Digital Object Identifier):
Page No: 35-37
Country: Nanded, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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