Decision fusion for hyperspectral image classification based on multiple features and locality-preserving analysis
A novel fusion-classification system is proposed for hyperspectral image classification. Firstly, spectral derivatives are used to capture salient spectral features for different land-cover classes and a Gabor filter is applied to extract useful spatial features at neighbouring locations. Then, two...
Main Authors: | Zhen Ye, Lin Bai, Yongjian Nian |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-01-01
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Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/22797254.2017.1299556 |
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