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From Patches to Deep Learning: Combining Self-Similarity and Neural Networks for Sar Image Despeckling

Abstract : Speckle reduction has benefited from the recent progress in image processing, in particular patch-based non-local filtering and deep learning techniques. These two families of methods offer complementary characteristics but have not yet been combined. We explore strategies to make the most of each approach.
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https://hal-ujm.archives-ouvertes.fr/ujm-03114605
Contributor : Loïc Denis <>
Submitted on : Tuesday, January 19, 2021 - 9:51:15 AM
Last modification on : Thursday, January 21, 2021 - 3:28:48 AM

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Loïc Denis, Charles-Alban Deledalle, Florence Tupin. From Patches to Deep Learning: Combining Self-Similarity and Neural Networks for Sar Image Despeckling. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Jul 2019, Yokohama, Japan. pp.5113-5116, ⟨10.1109/IGARSS.2019.8898473⟩. ⟨ujm-03114605⟩

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