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

Author:
Shahi, Kaveh, Shafri, Helmi Z.M., Taherzadeh, Ebrahim, Mansor, Shattri, Muniandy, Ratnasamy
Source:
The Egyptian Journal of Remote Sensing and Space Sciences (Online) 2015 v.18 no.1 pp. 27-33
ISSN:
1110-9823
Subject:
bitumen, discriminant analysis, remote sensing, roads, spectral analysis, spectroradiometers, wavelengths
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.
Agid:
6041274