DOI QR코드

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

Magpantay, Abraham T.;Adao, Rossana T.;Bombasi, Joferson L.;Lagman, Ace C.;Malasaga, Elisa V.;Ye, Chul-Soo

  • Received : 2019.08.05
  • Accepted : 2019.08.21
  • Published : 2019.08.31

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