Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/132006
Título: Analysis of the effects of applying a restoration process to despeckled SAR imagery
Autores/as: Vasquez Salazar, Ruben Dario 
Cardona Mesa, Ahmed Alejandro 
Gomez, Luis 
Travieso-González, Carlos M. 
Garavito-Gonzalez, Andres F.
Vasquez-Cano, Esteban
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Autoencoder
Deep Learning
Despeckling Filter
Synthetic Aperture Radar
Transformer
Fecha de publicación: 2024
Conferencia: International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing 2024 
Resumen: 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
Fuente: 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024[EISSN ], (Enero 2024)
Colección:Actas de congresos
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