Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Emanuele Dalsasso"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4321-4329 (2021)
Speckle reduction is a key step in many remote sensing applications. By strongly affecting synthetic aperture radar (SAR) images, it makes them difficult to analyze. Due to the difficulty to model the spatial correlation of speckle, a deep learning a
Externí odkaz:
https://doaj.org/article/f8fe2b8ab00344d19b5e2a854109c0d4
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2636 (2020)
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) images. Many different schemes have been proposed for the restoration of intensity SAR images. Among the different possible approaches, methods based on convolutional neural
Externí odkaz:
https://doaj.org/article/52f9796df1e24070abaaa35461b45f78
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-14
Speckle filtering is generally a prerequisite to the analysis of synthetic aperture radar (SAR) images. Tremendous progress has been achieved in the domain of single-image despeckling. Latest techniques rely on deep neural networks to restore the var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d37f8d86fedf3b74275dac4f946f4ede
https://doi.org/10.1109/tgrs.2023.3237466
https://doi.org/10.1109/tgrs.2023.3237466
Reducing speckle and limiting the variations of the physical parameters in Synthetic Aperture Radar (SAR) images is often a key-step to fully exploit the potential of such data. Nowadays, deep learning approaches produce state of the art results in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a36b30ea2cc8fce2f2ba5ea1cd171880
http://arxiv.org/abs/2207.11111
http://arxiv.org/abs/2207.11111
Speckle fluctuations seriously limit the interpretability of synthetic aperture radar (SAR) images. Speckle reduction has thus been the subject of numerous works spanning at least four decades. Techniques based on deep neural networks have recently a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92c05880da523ac49192c26259da6297
http://arxiv.org/abs/2110.13148
http://arxiv.org/abs/2110.13148
Publikováno v:
IGARSS 2021
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
HAL
IGARSS
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
HAL
IGARSS
International audience; The speckle phenomenon remains a major hurdle for the analysis of SAR images. The development of speckle reduction methods closely follows methodological progress in the field of image restoration. The advent of deep neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1280d7c4ee6f19452d9579d5338d895
https://hal-ujm.archives-ouvertes.fr/ujm-03123042/file/main.pdf
https://hal-ujm.archives-ouvertes.fr/ujm-03123042/file/main.pdf
Publikováno v:
IGARSS 2021
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
IGARSS
HAL
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
IGARSS
HAL
International audience; Deep learning approaches show unprecedented results for speckle reduction in SAR amplitude images. The wide availability of multi-temporal stacks of SAR images can improve even further the quality of denoising. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3da84f5a8840a58f984763477394ff7
https://hal.telecom-paris.fr/hal-03129020
https://hal.telecom-paris.fr/hal-03129020
Publikováno v:
EUSAR 2021: 13th European Conference on Synthetic Aperture Radar
EUSAR 2021: 13th European Conference on Synthetic Aperture Radar, Mar 2021, Leipzig (virtual), Germany. pp.1-6
HAL
EUSAR 2021: 13th European Conference on Synthetic Aperture Radar, Mar 2021, Leipzig (virtual), Germany. pp.1-6
HAL
International audience; Speckle noise strongly affects Synthetic Aperture Radar (SAR) images, causing strong intensity fluctuations that make them difficult to analyze. Although many speckle reduction algorithms have been proposed, how to effectively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b3250accc9bb4e79b08b21627914cf33
https://hal.telecom-paris.fr/hal-02538046
https://hal.telecom-paris.fr/hal-02538046
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine 10(2022)2, 201-230
Remote sensing provides valuable information about objects or areas from a distance in either active (e.g., RADAR and LiDAR) or passive (e.g., multispectral and hyperspectral) modes. The quality of data acquired by remotely sensed imaging sensors (bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c622d1c2310c47db7474b6cfd2ca002
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2020, 12 (16), pp.2636. ⟨10.3390/rs12162636⟩
Remote Sensing, Vol 12, Iss 2636, p 2636 (2020)
Remote Sensing; Volume 12; Issue 16; Pages: 2636
Remote Sensing, MDPI, 2020, 12 (16), pp.2636. ⟨10.3390/rs12162636⟩
Remote Sensing, Vol 12, Iss 2636, p 2636 (2020)
Remote Sensing; Volume 12; Issue 16; Pages: 2636
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) images. Many different schemes have been proposed for the restoration of intensity SAR images. Among the different possible approaches, methods based on convolutional neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4ba0306052675849c7e0ad1475b8b75
https://hal.telecom-paris.fr/hal-02944565
https://hal.telecom-paris.fr/hal-02944565