Enhancing Spectral Quality through Multisource Fusion of SAR and Optical Imagery Using Deep Learning
This study evaluates the effectiveness of a multi-source satellite image fusion method using deep learning to enhance spectral feature quality in urban environments. The input data consist of synthetic aperture radar (SAR) images from Sentinel 1 and optical images from Landsat 9. Two deep learning m...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MMU Press
2026-03-01
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| Serie: | Journal of Engineering Technology and Applied Physics |
| Soggetti: | |
| Accesso online: | https://journals.mmupress.com/index.php/jetap/article/view/3252/1263 |
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