A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery
In remote sensing, shadow causes problems in many applications such as change detection and classification. It is caused by objects which are elevated, thus can directly affect the accuracy of information. For these reasons, it is very important to detect shadows particularly in urban high spatial r...
| Hauptverfasser: | , , |
|---|---|
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
World Academy of Science, Engineering and Technology
2014
|
| Online Zugang: | http://psasir.upm.edu.my/id/eprint/36223/1/A%20novel%20spectral%20index%20for%20automatic%20shadow%20detection%20in%20urban%20mapping%20based%20on%20WorldView.pdf |
| _version_ | 1825948799633195008 |
|---|---|
| author | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim |
| author_facet | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim |
| author_sort | Shahi, Kaveh |
| collection | UPM |
| description | In remote sensing, shadow causes problems in many applications such as change detection and classification. It is caused by objects which are elevated, thus can directly affect the accuracy of information. For these reasons, it is very important to detect shadows particularly in urban high spatial resolution imagery which created a significant problem. This paper focuses on automatic shadow detection based on a new spectral index for multispectral imagery known as Shadow Detection Index (SDI). The new spectral index was tested on different areas of WorldView-2 images and the results demonstrated that the new spectral index has a massive potential to extract shadows with accuracy of 94% effectively and automatically. Furthermore, the new shadow detection index improved road extraction from 82% to 93%. |
| first_indexed | 2024-03-06T08:34:41Z |
| format | Article |
| id | upm.eprints-36223 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:34:41Z |
| publishDate | 2014 |
| publisher | World Academy of Science, Engineering and Technology |
| record_format | dspace |
| spelling | upm.eprints-362232016-01-27T08:01:45Z http://psasir.upm.edu.my/id/eprint/36223/ A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim In remote sensing, shadow causes problems in many applications such as change detection and classification. It is caused by objects which are elevated, thus can directly affect the accuracy of information. For these reasons, it is very important to detect shadows particularly in urban high spatial resolution imagery which created a significant problem. This paper focuses on automatic shadow detection based on a new spectral index for multispectral imagery known as Shadow Detection Index (SDI). The new spectral index was tested on different areas of WorldView-2 images and the results demonstrated that the new spectral index has a massive potential to extract shadows with accuracy of 94% effectively and automatically. Furthermore, the new shadow detection index improved road extraction from 82% to 93%. World Academy of Science, Engineering and Technology 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36223/1/A%20novel%20spectral%20index%20for%20automatic%20shadow%20detection%20in%20urban%20mapping%20based%20on%20WorldView.pdf Shahi, Kaveh and Mohd Shafri, Helmi Zulhaidi and Taherzadeh, Ebrahim (2014) A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery. International Journal of Computer, Control, Quantum and Information Engineering, 8 (10). pp. 1642-1645. |
| spellingShingle | Shahi, Kaveh Mohd Shafri, Helmi Zulhaidi Taherzadeh, Ebrahim A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title | A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title_full | A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title_fullStr | A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title_full_unstemmed | A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title_short | A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery |
| title_sort | novel spectral index for automatic shadow detection in urban mapping based on worldview 2 satellite imagery |
| url | http://psasir.upm.edu.my/id/eprint/36223/1/A%20novel%20spectral%20index%20for%20automatic%20shadow%20detection%20in%20urban%20mapping%20based%20on%20WorldView.pdf |
| work_keys_str_mv | AT shahikaveh anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT mohdshafrihelmizulhaidi anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT taherzadehebrahim anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT shahikaveh novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT mohdshafrihelmizulhaidi novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT taherzadehebrahim novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery |