Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Denis, Loïc"'
Reducing speckle fluctuations in multi-channel SAR images is essential in many applications of SAR imaging such as polarimetric classification or interferometric height estimation. While single-channel despeckling has widely benefited from the applic
Externí odkaz:
http://arxiv.org/abs/2408.11531
We tackle covariance estimation in low-sample scenarios, employing a structured covariance matrix with shrinkage methods. These involve convexly combining a low-bias/high-variance empirical estimate with a biased regularization estimator, striking a
Externí odkaz:
http://arxiv.org/abs/2403.07104
Autor:
Zhao, Weiying, Deledalle, Charles-Alban, Denis, Loïc, Maître, Henri, Nicolas, Jean-Marie, Tupin, Florence
Understanding the state of changed areas requires that precise information be given about the changes. Thus, detecting different kinds of changes is important for land surface monitoring. SAR sensors are ideal to fulfil this task, because of their al
Externí odkaz:
http://arxiv.org/abs/2307.07892
Autor:
Thé, Samuel, Thiébaut, Éric, Denis, Loïc, Wanner, Thibault, Thiébaut, Rémi, Langlois, Maud, Soulez, Ferréol
Publikováno v:
A&A 678, A77 (2023)
High-contrast long-slit spectrographs can be used to characterize exoplanets. High-contrast long-slit spectroscopic data are however corrupted by stellar leakages which largely dominate other signals and make the process of extracting the companion s
Externí odkaz:
http://arxiv.org/abs/2306.03467
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 4007405
Synthetic aperture radar tomographic imaging reconstructs the three-dimensional reflectivity of a scene from a set of coherent acquisitions performed in an interferometric configuration. In forest areas, a large number of elements backscatter the rad
Externí odkaz:
http://arxiv.org/abs/2301.08605
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:
http://arxiv.org/abs/2207.11111
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:
http://arxiv.org/abs/2207.11095
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:
http://arxiv.org/abs/2110.13148
Angular and spectral differential imaging is an observational technique of choice to investigate the immediate vicinity of stars. The relative angular motion and spectral scaling between on-axis and off-axis sources are exploited by post-processing t
Externí odkaz:
http://arxiv.org/abs/2109.12644
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:
http://arxiv.org/abs/2107.00557