A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery

Citation

Shahi, Kaveh and Mohd Shafri, Helmi Zulhaidi and Taherzadeh, Ebrahim and Mansor, Shattri and Muniandy, Ratnasamy (2015) A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery. The Egyptian Journal of Remote Sensing and Space Science, 18 (1). pp. 27-33. ISSN 1110-9823

Abstract

This research develops a spectral index to automatically extract asphalt road networks named road extraction index (REI). This index uses WorldView-2 (WV-2) imagery, which has high spatial resolution and is multispectral. To determine the best bands for WV-2, field spectral data using a field spectroradiometer were collected. These data were then analyzed statistically. The bands were selected through the methodology of stepwise discriminant analysis. The appropriate WV-2 bands were distinguished from one another as per significant wavelengths. The proposed index is based on this classification. By applying REI to WV-2 imagery, we can extract asphalt roads accurately. Results demonstrate that REI is automated, transferable, and efficient in asphalt road extraction from high-resolution satellite imagery.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1016/j.ejrs.2014.12.003
Publisher:	Elsevier
Keywords:	Remote sensing; Spectroradiometer; Band selection; Asphalt road extraction; WorldView-2; Spectral index
Depositing User:	Mohd Hafiz Che Mahasan
Date Deposited:	29 Jun 2016 03:24
Last Modified:	29 Jun 2016 03:24
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.ejrs.2014.12.003
URI:	http://psasir.upm.edu.my/id/eprint/43542
Statistic Details:	View Download Statistic

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