PyionNet: Pyramid Progressive Cross-Fusion Network for Joint Classification of Hyperspectral and LiDAR Data
Joint hyperspectral (HS) and light detection and ranging (LiDAR) data for land cover classification have received widespread attention. Nevertheless, existing methods often struggle with multiscale feature extraction and multisource feature fusion. To address these issues, this article proposes a py...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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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/10981987/ |
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