Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species
Discriminating tropical rainforest tree species is still a challenging task due to a variety of species with high spectral similarity and due to very limited studies conducted in this area. We are investigating the effect of discrete wavelet transform (DWT) on enhancing discrimination of tropical ra...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Society of Photo-Optical Instrumentation Engineers
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37945/ http://psasir.upm.edu.my/id/eprint/37945/1/Impact%20of%20discrete%20wavelet%20transform%20on%20discriminating%20airborne%20hyperspectral%20tropical%20rainforest%20tree%20species.pdf |
| _version_ | 1848848742778667008 |
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| author | Ghiyamat, Azadeh Mohd Shafri, Helmi Zulhaidi Mahdiraji, Ghafour Amouzad Ashurov, Ravshan Mohamed Shariff, Abdul Rashid Mansor, Shattri |
| author_facet | Ghiyamat, Azadeh Mohd Shafri, Helmi Zulhaidi Mahdiraji, Ghafour Amouzad Ashurov, Ravshan Mohamed Shariff, Abdul Rashid Mansor, Shattri |
| author_sort | Ghiyamat, Azadeh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Discriminating tropical rainforest tree species is still a challenging task due to a variety of species with high spectral similarity and due to very limited studies conducted in this area. We are investigating the effect of discrete wavelet transform (DWT) on enhancing discrimination of tropical rainforest tree species. For this purpose, airborne imaging spectrometer for applications (AISA) airborne hyperspectral data obtained from Malaysian’s rainforest area are used; six tree species were selected from the study area. For comparison purposes, the performance of DWT is compared with the original reflectance, first, and second derivative spectra by using five different spectral measure techniques. An overall discrimination accuracy of ∼74% is obtained with DWT using Euclidean distance, which outperforms the original reflectance and first and second derivatives by ∼16.6 , 11.9, and 22.1%, respectively. The results suggest a significant impact of the DWT approach on improving tropical rainforest tree species discrimination. |
| first_indexed | 2025-11-15T09:39:20Z |
| format | Article |
| id | upm-37945 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:39:20Z |
| publishDate | 2014 |
| publisher | Society of Photo-Optical Instrumentation Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-379452015-12-15T03:34:45Z http://psasir.upm.edu.my/id/eprint/37945/ Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species Ghiyamat, Azadeh Mohd Shafri, Helmi Zulhaidi Mahdiraji, Ghafour Amouzad Ashurov, Ravshan Mohamed Shariff, Abdul Rashid Mansor, Shattri Discriminating tropical rainforest tree species is still a challenging task due to a variety of species with high spectral similarity and due to very limited studies conducted in this area. We are investigating the effect of discrete wavelet transform (DWT) on enhancing discrimination of tropical rainforest tree species. For this purpose, airborne imaging spectrometer for applications (AISA) airborne hyperspectral data obtained from Malaysian’s rainforest area are used; six tree species were selected from the study area. For comparison purposes, the performance of DWT is compared with the original reflectance, first, and second derivative spectra by using five different spectral measure techniques. An overall discrimination accuracy of ∼74% is obtained with DWT using Euclidean distance, which outperforms the original reflectance and first and second derivatives by ∼16.6 , 11.9, and 22.1%, respectively. The results suggest a significant impact of the DWT approach on improving tropical rainforest tree species discrimination. Society of Photo-Optical Instrumentation Engineers 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37945/1/Impact%20of%20discrete%20wavelet%20transform%20on%20discriminating%20airborne%20hyperspectral%20tropical%20rainforest%20tree%20species.pdf Ghiyamat, Azadeh and Mohd Shafri, Helmi Zulhaidi and Mahdiraji, Ghafour Amouzad and Ashurov, Ravshan and Mohamed Shariff, Abdul Rashid and Mansor, Shattri (2014) Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species. Journal of Applied Remote Sensing, 8 (1). art. no. 083556. pp. 1-24. ISSN 1931-3195 http://spie.org/Publications/Journal/10.1117/1.JRS.8.083556 10.1117/1.JRS.8.083556 |
| spellingShingle | Ghiyamat, Azadeh Mohd Shafri, Helmi Zulhaidi Mahdiraji, Ghafour Amouzad Ashurov, Ravshan Mohamed Shariff, Abdul Rashid Mansor, Shattri Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title | Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title_full | Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title_fullStr | Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title_full_unstemmed | Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title_short | Impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| title_sort | impact of discrete wavelet transform on discriminating airborne hyperspectral tropical rainforest tree species |
| url | http://psasir.upm.edu.my/id/eprint/37945/ http://psasir.upm.edu.my/id/eprint/37945/ http://psasir.upm.edu.my/id/eprint/37945/ http://psasir.upm.edu.my/id/eprint/37945/1/Impact%20of%20discrete%20wavelet%20transform%20on%20discriminating%20airborne%20hyperspectral%20tropical%20rainforest%20tree%20species.pdf |