Accuracy Assessment of Different Supervised Classification Techniques for Land Use Land Cover Mapping Using RS and GIS
| Author(s) | : | Shivpuje Prakash R. |
| Institution | : | School of Computational Sciences, SRTMU Nanded |
| Published In | : | Vol. 4, Issue 10 — October 2017 |
| Page No. | : | 444-449 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Remote Sensing research focusing on image classification has attracted the attention of many researchersand a number of researches have been conducted using different classification algorithms. It should be noted thatvaluable surface information extraction and analysis is also well performed using image classification. Imageclassification is a multi-step process followed by the preprocessing of the acquired data. The pre-processing andaccuracy analysis of the LISS 3 data have been done in QGIS. There after the land cover and land use classification hasbeen done followed by the proper mapping in QGIS. The analyses represented in this paper are based on the confusionmatrix. The kappa statistics for each class and overall classification accuracy has been discovered. In order to improvethe classification accuracy, thus, selection of appropriate classification method is required.
Shivpuje Prakash R., “Accuracy Assessment of Different Supervised Classification Techniques for Land Use Land Cover Mapping Using RS and GIS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 10, pp. 444-449, October 2017.
