Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform
In this article, the capability of discrete wavelet transform (DWT) to discriminate tree species with different ages using airborne hyperspectral remote sensing is investigated. The performance of DWT is compared against commonly used traditional methods, i.e. original reflectance and first and seco...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43683/1/Airborne%20hyperspectral%20discrimination%20of%20tree%20species%20with%20different%20ages%20using%20discrete%20wavelet%20transform..pdf |
| _version_ | 1796974392375246848 |
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| author | Ghiyamat, A. Mohd Shafri, Helmi Zulhaidi Mahdiraji, G .A. Ashurov, R. Mohamed Shariff, Abd Rashid Mansor, Shattri |
| author_facet | Ghiyamat, A. Mohd Shafri, Helmi Zulhaidi Mahdiraji, G .A. Ashurov, R. Mohamed Shariff, Abd Rashid Mansor, Shattri |
| author_sort | Ghiyamat, A. |
| collection | UPM |
| description | In this article, the capability of discrete wavelet transform (DWT) to discriminate tree species with different ages using airborne hyperspectral remote sensing is investigated. The performance of DWT is compared against commonly used traditional methods, i.e. original reflectance and first and second derivatives. The hyperspectral data are obtained from Thetford forest of the UK, which contains Corsican and Scots pines with different ages and broadleaved tree species. The discrimination is performed by employing three different spectral measurement techniques (SMTs) including Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and a combination of SAM and SID. Five different mother wavelets with a total of 50 different orders are tested. The wavelet detail coefficient (CD) from each decomposition level and combination of all CDs plus the approximation coefficient from the final decomposition level (C-All) are extracted from each mother wavelet. The results show the superiority of DWT against the reflectance and derivatives for all the three SMTs. In DWT, C-All provided the highest discrimination accuracy compared to other coefficients. An over- all accuracy difference of about 20 – 30% is observed between the finest coefficient and C-All. Amongst the SMTs, SID provided the highest accuracy, while SAM showed the lowest accuracy. Using DWT in combination with SID, an overall accuracy up to around 71.4% is obtained, which is around 13.5%, 14.7%, and 27% higher than the accuracies achieved with reflectance and first and second derivatives, respectively. |
| first_indexed | 2024-03-06T08:56:23Z |
| format | Article |
| id | upm.eprints-43683 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:56:23Z |
| publishDate | 2015 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-436832016-08-08T07:07:23Z http://psasir.upm.edu.my/id/eprint/43683/ Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform Ghiyamat, A. Mohd Shafri, Helmi Zulhaidi Mahdiraji, G .A. Ashurov, R. Mohamed Shariff, Abd Rashid Mansor, Shattri In this article, the capability of discrete wavelet transform (DWT) to discriminate tree species with different ages using airborne hyperspectral remote sensing is investigated. The performance of DWT is compared against commonly used traditional methods, i.e. original reflectance and first and second derivatives. The hyperspectral data are obtained from Thetford forest of the UK, which contains Corsican and Scots pines with different ages and broadleaved tree species. The discrimination is performed by employing three different spectral measurement techniques (SMTs) including Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and a combination of SAM and SID. Five different mother wavelets with a total of 50 different orders are tested. The wavelet detail coefficient (CD) from each decomposition level and combination of all CDs plus the approximation coefficient from the final decomposition level (C-All) are extracted from each mother wavelet. The results show the superiority of DWT against the reflectance and derivatives for all the three SMTs. In DWT, C-All provided the highest discrimination accuracy compared to other coefficients. An over- all accuracy difference of about 20 – 30% is observed between the finest coefficient and C-All. Amongst the SMTs, SID provided the highest accuracy, while SAM showed the lowest accuracy. Using DWT in combination with SID, an overall accuracy up to around 71.4% is obtained, which is around 13.5%, 14.7%, and 27% higher than the accuracies achieved with reflectance and first and second derivatives, respectively. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43683/1/Airborne%20hyperspectral%20discrimination%20of%20tree%20species%20with%20different%20ages%20using%20discrete%20wavelet%20transform..pdf Ghiyamat, A. and Mohd Shafri, Helmi Zulhaidi and Mahdiraji, G .A. and Ashurov, R. and Mohamed Shariff, Abd Rashid and Mansor, Shattri (2015) Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform. International Journal of Remote Sensing, 36 (1). pp. 318-342. ISSN 0143-1161; ESSN: 1366-5901 http://www.tandfonline.com/loi/tres20 10.1080/01431161.2014.995272 |
| spellingShingle | Ghiyamat, A. Mohd Shafri, Helmi Zulhaidi Mahdiraji, G .A. Ashurov, R. Mohamed Shariff, Abd Rashid Mansor, Shattri Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title | Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title_full | Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title_fullStr | Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title_full_unstemmed | Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title_short | Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| title_sort | airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform |
| url | http://psasir.upm.edu.my/id/eprint/43683/1/Airborne%20hyperspectral%20discrimination%20of%20tree%20species%20with%20different%20ages%20using%20discrete%20wavelet%20transform..pdf |
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