A new kernel method for hyperspectral image feature extraction
Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of hyperspectral images a challenge. Feature extractio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-10-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10095020.2017.1403088 |