A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery
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 spectr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43542/1/A%20novel%20spectral%20index%20to%20automatically%20extract%20road%20networks%20from%20WorldView.pdf |
| _version_ | 1796974364308013056 |
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| author | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim Mansor, Shattri Muniandy, Ratnasamy |
| author_facet | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim Mansor, Shattri Muniandy, Ratnasamy |
| author_sort | Shahi, Kaveh |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T08:55:58Z |
| format | Article |
| id | upm.eprints-43542 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:55:58Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | upm.eprints-435422016-06-29T03:24:29Z http://psasir.upm.edu.my/id/eprint/43542/ A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim Mansor, Shattri Muniandy, Ratnasamy 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. Elsevier 2015-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43542/1/A%20novel%20spectral%20index%20to%20automatically%20extract%20road%20networks%20from%20WorldView.pdf 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 10.1016/j.ejrs.2014.12.003 |
| spellingShingle | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim Mansor, Shattri Muniandy, Ratnasamy A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title | A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title_full | A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title_fullStr | A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title_full_unstemmed | A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title_short | A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery |
| title_sort | novel spectral index to automatically extract road networks from worldview 2 satellite imagery |
| url | http://psasir.upm.edu.my/id/eprint/43542/1/A%20novel%20spectral%20index%20to%20automatically%20extract%20road%20networks%20from%20WorldView.pdf |
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