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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/32544/1/32544.pdf |
| _version_ | 1796972144456892416 |
|---|---|
| author | Shahi, Kaveh M. Shafri, Helmi Z. Taherzadeh, Ebrahim |
| author_facet | Shahi, Kaveh M. Shafri, Helmi Z. 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 | 2024-03-06T08:23:31Z |
| format | Conference or Workshop Item |
| id | upm.eprints-32544 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:23:31Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | upm.eprints-325442014-12-12T01:59:32Z http://psasir.upm.edu.my/id/eprint/32544/ A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery. Shahi, Kaveh M. Shafri, Helmi Z. 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%. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/32544/1/32544.pdf Shahi, Kaveh and M. Shafri, Helmi Z. and Taherzadeh, Ebrahim (2014) A novel spectral index for automatic shadow detection in urban mapping based on WorldView-2 satellite imagery. In: ICRS 2014: XII International Conference on Remote Sensing, 12-13 Oct. 2014, Osaka, Japan. . |
| spellingShingle | Shahi, Kaveh M. Shafri, Helmi Z. 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/32544/1/32544.pdf |
| work_keys_str_mv | AT shahikaveh anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT mshafrihelmiz anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT taherzadehebrahim anovelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT shahikaveh novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT mshafrihelmiz novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery AT taherzadehebrahim novelspectralindexforautomaticshadowdetectioninurbanmappingbasedonworldview2satelliteimagery |