Diffusion Probabilistic Models for Compressive SAR Imaging
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912343902912512 |
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| author | Pappas, Odysseas Mayo, Perla Austin, Andrew Achim, Alin |
| author_facet | Pappas, Odysseas Mayo, Perla Austin, Andrew Achim, Alin |
| contents | Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computationally expensive. We investigate the use of denoising diffusion probabilistic models for compressive SAR image reconstruction, where the diffusion model is guided by a poor initial reconstruction from sub-sampled data obtained via standard imaging methods. We present results on real SAR data and compare our compressively sampled diffusion model reconstruction with standard image reconstruction methods utilizing the full data set, demonstrating the potential performance gains in imaging quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_17053 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Diffusion Probabilistic Models for Compressive SAR Imaging Pappas, Odysseas Mayo, Perla Austin, Andrew Achim, Alin Image and Video Processing Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computationally expensive. We investigate the use of denoising diffusion probabilistic models for compressive SAR image reconstruction, where the diffusion model is guided by a poor initial reconstruction from sub-sampled data obtained via standard imaging methods. We present results on real SAR data and compare our compressively sampled diffusion model reconstruction with standard image reconstruction methods utilizing the full data set, demonstrating the potential performance gains in imaging quality. |
| title | Diffusion Probabilistic Models for Compressive SAR Imaging |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2504.17053 |