Multimodal Colearning Meets Remote Sensing: Taxonomy, State of the Art, and Future Works
In remote sensing (RS), multiple modalities of data are usually available, e.g., RGB, multispectral, hyperspectral, light detection and ranging (LiDAR), and synthetic aperture radar (SAR). Multimodal machine learning systems, which fuse these rich multimodal data modalities, have shown better perfor...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10474099/ |