Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Charles-Alban Deledalle"'
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:298-320
Synthetic aperture radar (SAR) images are widely used for Earth observation to complement optical imaging. By combining information on the polarization and the phase shift of the radar echos, SAR images offer high sensitivity to the geometry and mate
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Autor:
Charles-Alban Deledalle, Jérôme Gilles
Publikováno v:
IET Image Processing. 14:3422-3432
A new blind image deconvolution technique is developed for atmospheric turbulence deblurring to overcome limitations of ‘generic’ blind deconvolution algorithms that do not take into account the complicated physics of the turbulence. The original
Publikováno v:
IEEE Transactions on Image Processing. 28:687-698
Image restoration methods aim to recover the underlying clean image from corrupted observations. The expected patch log-likelihood (EPLL) algorithm is a powerful image restoration method that uses a Gaussian mixture model (GMM) prior on the patches o
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium
IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan
HAL
IGARSS
IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan
HAL
IGARSS
The availability of multi-temporal stacks of SAR images opens the way to new speckle reduction methods. Beyond mere spatial filtering, the time series can be used to improve the signal-to-noise ratio of structures that persist for several dates. Amon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce10524e2cf190d4ae036822c3a0b2ad
https://hal.archives-ouvertes.fr/hal-02296951
https://hal.archives-ouvertes.fr/hal-02296951
Publikováno v:
IGARSS
IGARSS, Jul 2019, Yokohama, Japan
HAL
2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019)
2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Jul 2019, Yokohama, Japan. pp.5113-5116, ⟨10.1109/IGARSS.2019.8898473⟩
IGARSS, Jul 2019, Yokohama, Japan
HAL
2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019)
2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Jul 2019, Yokohama, Japan. pp.5113-5116, ⟨10.1109/IGARSS.2019.8898473⟩
International audience; 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 ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd5dc432028e28c8812b64f64f1d02a
https://hal.telecom-paris.fr/hal-02412413
https://hal.telecom-paris.fr/hal-02412413
Publikováno v:
IGARSS
IGARSS (International Geoscience and Remote Sensing Symposium)
IGARSS (International Geoscience and Remote Sensing Symposium), Jul 2019, Yokohama, Japan
HAL
IGARSS (International Geoscience and Remote Sensing Symposium)
IGARSS (International Geoscience and Remote Sensing Symposium), Jul 2019, Yokohama, Japan
HAL
International audience; Speckle reduction is a major issue for many SAR imaging applications using amplitude, interferometric, polarimetric or tomographic data. This subject has been widely investigated using various approaches. Since a decade, break
Autor:
Emma Ozanich, Sharon Gannot, Charles-Alban Deledalle, Marie A. Roch, James Traer, Peter Gerstoft, Michael J. Bianco
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transformative potential of machine learning (ML), including deep learning, in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6214c569935e0e2c009ac41d19543ae
Publikováno v:
Scale Space and Variational Methods in Computer Vision-7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
Scale Space and Variational Methods in Computer Vision
Scale Space and Variational Methods in Computer Vision, 11603, pp.131-143, 2019, 978-3-030-22367-0. ⟨10.1007/978-3-030-22368-7_11⟩
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
Scale Space and Variational Methods in Computer Vision
Scale Space and Variational Methods in Computer Vision, 11603, pp.131-143, 2019, 978-3-030-22367-0. ⟨10.1007/978-3-030-22368-7_11⟩
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
International audience; In inverse problems, the use of an l(12) analysis regularizer induces a bias in the estimated solution. We propose a general refitting framework for removing this artifact while keeping information of interest contained in the
Autor:
Jean-Marie Nicolas, Charles-Alban Deledalle, Henri Maitre, Weiying Zhao, Loïc Denis, Florence Tupin
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2019, ⟨10.1109/TGRS.2018.2885683⟩
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2019, ⟨10.1109/TGRS.2018.2885683⟩
In this paper, we propose a fast and efficient multitemporal despeckling method. The key idea of the proposed approach is the use of the ratio image, provided by the ratio between an image and the temporal mean of the stack. This ratio image is easie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c2d74e954a541a2742fa6c5e92b5b71
https://hal.archives-ouvertes.fr/hal-01791355v2/document
https://hal.archives-ouvertes.fr/hal-01791355v2/document