An Improved Sparse Bayesian Learning SAR Tomography Method and its Application for Forest Vertical Structure Inversion
Synthetic aperture radar tomography (TomoSAR) is widely used in reconstructing forest vertical structure, but accurately locating both ground and canopy scatterers in dense forest areas remains challenging. In this article, a novel sparse Bayesian learning (SBL) based TomoSAR method is proposed to a...
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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/11008668/ |
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