Accuracy Assessment&Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM
| Author(s) | : | Shivpuje Prakash R, Dr. DeshmukhNilesh K |
| Institution | : | Research Scholar,School of computational sciencs SRTM Nanded |
| Published In | : | Vol. 4, Issue 10 — October 2017 |
| Page No. | : | 616-622 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Nanded have rapid development in every aspect. By using satellite images and application of remote sensingand GIS for land use and land cover change detection were used. For the analysis, ETM+, LISS3 and Landsat 8 imagesacquired from official websites Bhuvan and USGS. The main challenge in land use and land cover changes using theremote sensing data which how to provide the accurate and geospatial information.Traditionally pixel basedclassification was used by researchers but to get more accuracy we have implemented object based approach andmachine learning algorithms for accuracy enhancement.
Shivpuje Prakash R, Dr. DeshmukhNilesh K, “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), Vol. 4, Issue 10, pp. 616-622, October 2017.
