Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine
This study investigated the performance of different data types used in a hyperspectral data classification process. Data in the form of spectral reflectance, first derivative spectra and wavelet coefficients were used as inputs for the Support Vector Machine (SVM) algorithm used to classify five di...
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| Format: | Article |
| Language: | English |
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Asian Network for Scientific Information
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14357/ http://psasir.upm.edu.my/id/eprint/14357/1/Effects%20of%20hyperspectral%20data%20transformations%20on%20urban%20inter-class%20separations%20using%20a%20support%20vector%20machine.pdf |
| _version_ | 1848842371226140672 |
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| author | Misman, Muhamad Afizzul Mohd Shafri, Helmi Zulhaidi Raja Ahmad, Raja Mohd Kamil |
| author_facet | Misman, Muhamad Afizzul Mohd Shafri, Helmi Zulhaidi Raja Ahmad, Raja Mohd Kamil |
| author_sort | Misman, Muhamad Afizzul |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study investigated the performance of different data types used in a hyperspectral data classification process. Data in the form of spectral reflectance, first derivative spectra and wavelet coefficients were used as inputs for the Support Vector Machine (SVM) algorithm used to classify five different classes. The first derivative spectra gave a lower classification accuracy (35.6%) than the spectral reflectance (82%) and the use of wavelet coefficients further improved the classification accuracy to 100%. Proper selection of the wavelet transformation method, the mother wavelet, the number of vanishing moments and the decomposition level could improve classification accuracy. In summary, wavelet coefficients could maximise discrimination capability as compared to the spectral reflectance and first derivative spectra. |
| first_indexed | 2025-11-15T07:58:04Z |
| format | Article |
| id | upm-14357 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:58:04Z |
| publishDate | 2010 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-143572019-04-08T08:33:48Z http://psasir.upm.edu.my/id/eprint/14357/ Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine Misman, Muhamad Afizzul Mohd Shafri, Helmi Zulhaidi Raja Ahmad, Raja Mohd Kamil This study investigated the performance of different data types used in a hyperspectral data classification process. Data in the form of spectral reflectance, first derivative spectra and wavelet coefficients were used as inputs for the Support Vector Machine (SVM) algorithm used to classify five different classes. The first derivative spectra gave a lower classification accuracy (35.6%) than the spectral reflectance (82%) and the use of wavelet coefficients further improved the classification accuracy to 100%. Proper selection of the wavelet transformation method, the mother wavelet, the number of vanishing moments and the decomposition level could improve classification accuracy. In summary, wavelet coefficients could maximise discrimination capability as compared to the spectral reflectance and first derivative spectra. Asian Network for Scientific Information 2010 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/14357/1/Effects%20of%20hyperspectral%20data%20transformations%20on%20urban%20inter-class%20separations%20using%20a%20support%20vector%20machine.pdf Misman, Muhamad Afizzul and Mohd Shafri, Helmi Zulhaidi and Raja Ahmad, Raja Mohd Kamil (2010) Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine. Journal of Applied Sciences, 10 (19). pp. 2241-2250. ISSN 1812-5654; ESSN: 1812-5662 https://scialert.net/abstract/?doi=jas.2010.2241.2250 10.3923/jas.2010.2241.2250 |
| spellingShingle | Misman, Muhamad Afizzul Mohd Shafri, Helmi Zulhaidi Raja Ahmad, Raja Mohd Kamil Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title | Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title_full | Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title_fullStr | Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title_full_unstemmed | Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title_short | Effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| title_sort | effects of hyperspectral data transformations on urban inter-class separations using a support vector machine |
| url | http://psasir.upm.edu.my/id/eprint/14357/ http://psasir.upm.edu.my/id/eprint/14357/ http://psasir.upm.edu.my/id/eprint/14357/ http://psasir.upm.edu.my/id/eprint/14357/1/Effects%20of%20hyperspectral%20data%20transformations%20on%20urban%20inter-class%20separations%20using%20a%20support%20vector%20machine.pdf |