Unsupervised hyperspectral band selection by combination of unmixing and sequential clustering techniques
Selecting the decisive spectral bands is a key issue in unsupervised hyperspectral band selection techniques. These methods are the most popular ways for dimensionality reduction of original data. A compact data representation without compromising the physical information and optimizing the separati...
Main Authors: | Sarra Ikram Benabadji, Moussa Sofiane Karoui, Khelifa Djerriri, Issam Boukerch, Nezha Farhi, Mohammed Amine Bouhlala |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-01-01
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Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/22797254.2018.1549511 |
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