Spectral feature selection and classification of roofing materials using field spectroscopy data
Impervious surface discrimination and mapping are important in urban and environ-mental studies. Confusion in discriminating urban materials using multispectral systems has led to the use of hyperspectral remote sensing data as an effective way to improve urban analysis. However, the high dimensiona...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Society of Photo-optical Instrumentation Engineers
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/46361/1/Spectral%20feature%20selection%20and%20classification%20of%20roofing%20materials%20using%20field%20spectroscopy%20data.pdf http://psasir.upm.edu.my/id/eprint/46361/ https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-9/issue-1/095079/Spectral-feature-selection-and-classification-of-roofing-materials-using-field/10.1117/1.JRS.9.095079.short?SSO=1 |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/46361/1/Spectral%20feature%20selection%20and%20classification%20of%20roofing%20materials%20using%20field%20spectroscopy%20data.pdfhttp://psasir.upm.edu.my/id/eprint/46361/
https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-9/issue-1/095079/Spectral-feature-selection-and-classification-of-roofing-materials-using-field/10.1117/1.JRS.9.095079.short?SSO=1