Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Laurent Ferro-Famil"'
Autor:
Yanzhou Xie, Laurent Ferro-Famil, Yue Huang, Thuy Le Toan, Jianjun Zhu, Haiqiang Fu, Peng Shen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 398-412 (2025)
As the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing. Compared with airborne PolInSAR, B
Externí odkaz:
https://doaj.org/article/b57ef6ee223f4547a3e0b6500d776615
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 773-793 (2024)
Polarimetric calibration is essential for the pre-processing of Polarimetric Synthetic Aperture Radar (PolSAR) data because it effectively mitigates polarimetric distortions in the measured PolSAR data. Traditional methods of polarimetric calibration
Externí odkaz:
https://doaj.org/article/60fb4dc609774c25b426e365254b3a2d
Publikováno v:
Sensors, Vol 23, Iss 20, p 8522 (2023)
This paper investigates the performance of a wide variety of radar imaging modes, such as nadir-looking B-scan, or side-looking synthetic aperture radar tomographic acquisitions, performed in both back- and forward-scattering geometries, for the insp
Externí odkaz:
https://doaj.org/article/ab3d8f3fb0a64ef5a9a4f2502ec4cee1
Publikováno v:
Sensors, Vol 22, Iss 15, p 5870 (2022)
An Interferometric Inverse SAR system is able to perform 3D imaging of non-cooperative targets by measuring their responses over time and through several receiving antennas. Phase differences between signals acquired with a spatial diversity in verti
Externí odkaz:
https://doaj.org/article/f61d8eab6d5d41fa9e0a590721511aac
Autor:
Mhamad El Hage, Ludovic Villard, Yue Huang, Laurent Ferro-Famil, Thierry Koleck, Thuy Le Toan, Laurent Polidori
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4173 (2022)
The penetration capability of P-band radar waves through dense vegetation, along with the ability of tomography to separate the contributions of different layers in a vertical reflectivity profile, make P-band radar tomography a promising tool for di
Externí odkaz:
https://doaj.org/article/300ff7c82f954be5972b67265a34acc9
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 636 (2021)
The radar response of vegetated environments, and forested areas in particular, are usually modeled using a very simple structure made of a random volume, representing a cloud of vegetation particles, lying over a semi-infinite medium with a rough in
Externí odkaz:
https://doaj.org/article/6137b77aab5145858a0f97a26659fdd2
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 487 (2021)
This paper addresses forest height estimation for boreal forests at the test site of Edson in Alberta, Canada, using dual-baseline PolInSAR dataset measured by Intermap’s single-pass system. This particular dataset is acquired by using both ping-po
Externí odkaz:
https://doaj.org/article/d49fab540cb04634917f5f90f66ffe3f
Autor:
Colette Gelas, Ludovic Villard, Laurent Ferro-Famil, Laurent Polidori, Thierry Koleck, Sandrine Daniel
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 142 (2021)
The purpose of this paper is twofold, considering first the generalization of a multichannel speckle filter in order to handle temporal stacks of polarimetric SLC SAR data, and secondly the development of an ad hoc performance indicator based on the
Externí odkaz:
https://doaj.org/article/6d0df29fdcad42cfb9d0df2b18237a13
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1288 (2019)
In the frame of polarimetric synthetic aperture radar (SAR) tomography, full-ranks reconstruction framework has been recognized as a significant technique for fully characterization of superimposed scatterers in a resolution cell. The technique, main
Externí odkaz:
https://doaj.org/article/8d3a5c45d73c476384c08efc5b6400a8
Publikováno v:
Remote Sensing, Vol 5, Iss 12, Pp 6899-6920 (2013)
This paper presents a new approach for the discrimination of ship responses using polarimetric SAR (PolSAR) data. The PolSAR multidimensional information is analyzed using a linear Time-Frequency (TF) decomposition approach, which permits to describe
Externí odkaz:
https://doaj.org/article/70c6be8c52be448b993115c1425bd4b5