Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367146570> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4367146570 endingPage "5" @default.
- W4367146570 startingPage "1" @default.
- W4367146570 abstract "Speckle is a type of multiplicative noise that affects all coherent imaging modalities including Synthetic Aperture Radar (SAR) images. The presence of speckle degrades the image quality and can adversely affect the performance of SAR image applications such as automatic target recognition and change detection. Thus, SAR despeckling is an important problem in remote sensing. In this paper, we introduce SAR-DDPM, a denoising diffusion probabilistic model for SAR despeckling. The proposed method employs a Markov chain that transforms clean images to white Gaussian noise by successively adding random noise. The despeckled image is obtained through a reverse process that predicts the added noise iteratively, using a noise predictor conditioned on the speckled image. Additionally, we propose a new inference strategy based on cycle spinning to improve the despeckling performance. Our experiments on both synthetic and real SAR images demonstrate that the proposed method leads to significant improvements in both quantitative and qualitative results over the state-of-the-art despeckling methods. The code is available at: https://github.com/malshaV/SAR_DDPM." @default.
- W4367146570 created "2023-04-28" @default.
- W4367146570 creator A5010420271 @default.
- W4367146570 creator A5027481493 @default.
- W4367146570 creator A5051121797 @default.
- W4367146570 creator A5071517821 @default.
- W4367146570 date "2023-01-01" @default.
- W4367146570 modified "2023-10-14" @default.
- W4367146570 title "SAR Despeckling Using a Denoising Diffusion Probabilistic Model" @default.
- W4367146570 cites W1901129140 @default.
- W4367146570 cites W1991863442 @default.
- W4367146570 cites W2004376198 @default.
- W4367146570 cites W2049909233 @default.
- W4367146570 cites W2056370875 @default.
- W4367146570 cites W2057771708 @default.
- W4367146570 cites W2090563002 @default.
- W4367146570 cites W2106783469 @default.
- W4367146570 cites W2131120753 @default.
- W4367146570 cites W2144851790 @default.
- W4367146570 cites W2161943271 @default.
- W4367146570 cites W2604403460 @default.
- W4367146570 cites W2789766190 @default.
- W4367146570 cites W2810454813 @default.
- W4367146570 cites W2959574828 @default.
- W4367146570 cites W3036453075 @default.
- W4367146570 cites W3105425562 @default.
- W4367146570 cites W3198480665 @default.
- W4367146570 cites W4205534598 @default.
- W4367146570 cites W4226014430 @default.
- W4367146570 cites W4312497550 @default.
- W4367146570 cites W4312642547 @default.
- W4367146570 cites W4312772608 @default.
- W4367146570 cites W59771946 @default.
- W4367146570 doi "https://doi.org/10.1109/lgrs.2023.3270799" @default.
- W4367146570 hasPublicationYear "2023" @default.
- W4367146570 type Work @default.
- W4367146570 citedByCount "3" @default.
- W4367146570 countsByYear W43671465702023 @default.
- W4367146570 crossrefType "journal-article" @default.
- W4367146570 hasAuthorship W4367146570A5010420271 @default.
- W4367146570 hasAuthorship W4367146570A5027481493 @default.
- W4367146570 hasAuthorship W4367146570A5051121797 @default.
- W4367146570 hasAuthorship W4367146570A5071517821 @default.
- W4367146570 hasBestOaLocation W43671465702 @default.
- W4367146570 hasConcept C102290492 @default.
- W4367146570 hasConcept C115961682 @default.
- W4367146570 hasConcept C131021393 @default.
- W4367146570 hasConcept C13412647 @default.
- W4367146570 hasConcept C153180895 @default.
- W4367146570 hasConcept C154945302 @default.
- W4367146570 hasConcept C163294075 @default.
- W4367146570 hasConcept C18015164 @default.
- W4367146570 hasConcept C180940675 @default.
- W4367146570 hasConcept C31972630 @default.
- W4367146570 hasConcept C41008148 @default.
- W4367146570 hasConcept C49937458 @default.
- W4367146570 hasConcept C84462506 @default.
- W4367146570 hasConcept C87360688 @default.
- W4367146570 hasConcept C9390403 @default.
- W4367146570 hasConcept C99498987 @default.
- W4367146570 hasConceptScore W4367146570C102290492 @default.
- W4367146570 hasConceptScore W4367146570C115961682 @default.
- W4367146570 hasConceptScore W4367146570C131021393 @default.
- W4367146570 hasConceptScore W4367146570C13412647 @default.
- W4367146570 hasConceptScore W4367146570C153180895 @default.
- W4367146570 hasConceptScore W4367146570C154945302 @default.
- W4367146570 hasConceptScore W4367146570C163294075 @default.
- W4367146570 hasConceptScore W4367146570C18015164 @default.
- W4367146570 hasConceptScore W4367146570C180940675 @default.
- W4367146570 hasConceptScore W4367146570C31972630 @default.
- W4367146570 hasConceptScore W4367146570C41008148 @default.
- W4367146570 hasConceptScore W4367146570C49937458 @default.
- W4367146570 hasConceptScore W4367146570C84462506 @default.
- W4367146570 hasConceptScore W4367146570C87360688 @default.
- W4367146570 hasConceptScore W4367146570C9390403 @default.
- W4367146570 hasConceptScore W4367146570C99498987 @default.
- W4367146570 hasLocation W43671465701 @default.
- W4367146570 hasLocation W43671465702 @default.
- W4367146570 hasLocation W43671465703 @default.
- W4367146570 hasOpenAccess W4367146570 @default.
- W4367146570 hasPrimaryLocation W43671465701 @default.
- W4367146570 hasRelatedWork W1989368580 @default.
- W4367146570 hasRelatedWork W2112985705 @default.
- W4367146570 hasRelatedWork W2120652167 @default.
- W4367146570 hasRelatedWork W2143974557 @default.
- W4367146570 hasRelatedWork W2594861681 @default.
- W4367146570 hasRelatedWork W2729888996 @default.
- W4367146570 hasRelatedWork W2746258982 @default.
- W4367146570 hasRelatedWork W3045828211 @default.
- W4367146570 hasRelatedWork W3114047281 @default.
- W4367146570 hasRelatedWork W4229442396 @default.
- W4367146570 hasVolume "20" @default.
- W4367146570 isParatext "false" @default.
- W4367146570 isRetracted "false" @default.
- W4367146570 workType "article" @default.