The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Background and objectives: Region based approach to determine the used land details of Vellore district to improvise the vegetation in future. Methods and Statistical Analysis: To classify the used lands Modified KNN and Modified SVM algorithm are applied to get the classification. Accuracy is measured by producer’s accuracy, user’s accuracy, commission error and omission error. Results: MOKNN and MOSVM produce the improved accuracy in classification to determine the exact land use details. Conclusion: Proposed MOKNN and MOSVM give the improved accuracy to predict used land details. This work may be extended with combined data set to get more improved accuracy.

Keywords

Classification, Fuzzy, KNN, MOKNN, MOSVM, SVM
User