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

Authors

  • Shivpuje Prakash R Research Scholar,School of computational sciencs SRTM Nanded
  • Dr. DeshmukhNilesh K Asst.Professor,Swamo RamanandTeerthMarathwada University Nanded

Keywords:

SVM,RS, GIS, LU/LC,AccuracyAssessment

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.

Downloads

Published

2017-10-25

How to Cite

Shivpuje Prakash R, & Dr. DeshmukhNilesh K. (2017). Accuracy Assessment&Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM. International Journal of Advance Engineering and Research Development (IJAERD), 4(10), 616–622. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3913

Issue

Vol. 4 No. 10 (2017): Volume 4 Issue 10 OCTOBER-2017

Section

Articles