AFA–Mamba: Adaptive Feature Alignment with Global–Local Mamba for Hyperspectral and LiDAR Data Classification
The joint classification of hyperspectral imagery (HSI) and LiDAR data is an important task in the field of remote sensing image interpretation. Traditional classification methods, such as support vector machine (SVM) and random forest (RF), have difficulty capturing the complex spectral–spatial–ele...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-10-01
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| Schriftenreihe: | Remote Sensing |
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| Online-Zugang: | https://www.mdpi.com/2072-4292/16/21/4050 |
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