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http://dx.doi.org/10.7780/kjrs.2019.35.4.6

Analysis on the Effect of Spectral Index Images on Improvement of Classification Accuracy of Landsat-8 OLI Image  

Magpantay, Abraham T. (College of Computer Studies, Far Eastern University Institute of Technology)
Adao, Rossana T. (College of Computer Studies, Far Eastern University Institute of Technology)
Bombasi, Joferson L. (College of Computer Studies, Far Eastern University Institute of Technology)
Lagman, Ace C. (College of Computer Studies, Far Eastern University Institute of Technology)
Malasaga, Elisa V. (College of Computer Studies, Far Eastern University Institute of Technology)
Ye, Chul-Soo (Department of Aviation and IT Convergence, Far East University)
Publication Information
Korean Journal of Remote Sensing / v.35, no.4, 2019 , pp. 561-571 More about this Journal
Abstract
In this paper, we analyze the effect of the representative spectral indices, normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) on classification accuracies of Landsat-8 OLI image.After creating these spectral index images, we propose five methods to select the spectral index images as classification features together with Landsat-8 OLI bands from 1 to 7. From the experiments we observed that when the spectral index image of NDVI or NDWI is used as one of the classification features together with the Landsat-8 OLI bands from 1 to 7, we can obtain higher overall accuracy and kappa coefficient than the method using only Landsat-8 OLI 7 bands. In contrast, the classification method, which selected only NDBI as classification feature together with Landsat-8 OLI 7 bands did not show the improvement in classification accuracies.
Keywords
Normalized Difference Vegetation Index; Normalized Difference Water Index; Normalized Difference Built-up Index; Classification; Landsat-8;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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