Semisupervised Hyperspectral Image Classification Using Spatial-Spectral Information and Landscape Features
In hyperspectral image classification, the foremost task is that: how can we apply limited labeled samples to achieve good classification results? Spatial-spectral classification methods, which assign a label to each pixel regarding both spatial and spectral information, are effective to improve cla...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8863901/ |