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http://hdl.handle.net/10553/132006
Title: | Analysis of the effects of applying a restoration process to despeckled SAR imagery | Authors: | Vasquez Salazar, Ruben Dario Cardona Mesa, Ahmed Alejandro Gomez, Luis Travieso-González, Carlos M. Garavito-Gonzalez, Andres F. Vasquez-Cano, Esteban |
UNESCO Clasification: | 33 Ciencias tecnológicas | Keywords: | Autoencoder Deep Learning Despeckling Filter Synthetic Aperture Radar Transformer |
Issue Date: | 2024 | Conference: | International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing 2024 | Abstract: | Despeckling SAR images constitute an important step when utilizing these types of images to ensure the quality of applications reliant upon them. After applying any despeckling filter, there will be an effect on the quality of the images, including edges, details, or possibly some undesired artifacts. In this paper, a restoration process using the SwinIR transformer is applied over-filtered images to reconstruct or recover some of their lost details. Different metrics are applied to filtered and reconstructed images to measure the impact and benefits of this process. | URI: | http://hdl.handle.net/10553/132006 | ISBN: | 9798350389678 | DOI: | 10.1109/MIGARS61408.2024.10544393 | Source: | 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024[EISSN ], (Enero 2024) |
Appears in Collections: | Actas de congresos |
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