Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Nicolas H. Younan"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6424-6433 (2020)
In remote sensing images, domain adaptation (DA) deals with the regions where labeling information is unknown. Typically, hand-driven features for learning a common distribution among known and unknown regions have been extensively exploited to perfo
Externí odkaz:
https://doaj.org/article/32f8f7fb6baa4d4c9bf56bfe7588624b
Publikováno v:
Sensors, Vol 19, Iss 2, p 232 (2019)
Since second-order statistics-based methods rely heavily on Gaussianity assumption and fractional lower-order statistics-based methods depend on a priori knowledge of non-Gaussian noise, there remains a void in wideband bistatic multiple-input/multip
Externí odkaz:
https://doaj.org/article/07c6ec53a45b4ba9bee147db8c0d09ff
Publikováno v:
Sensors, Vol 18, Iss 9, p 3012 (2018)
In this paper, a novel method, that employs a fractional Fourier transform and a tuneable Sigmoid transform, is proposed, in order to estimate the Doppler stretch and time delay of wideband echoes for a linear frequency modulation (LFM) pulse radar i
Externí odkaz:
https://doaj.org/article/0e5f53d233be40e9ab12727d1807f220
Publikováno v:
Journal of Imaging, Vol 2, Iss 3, p 26 (2016)
The dynamics of surface and sub-surface water events can lead to slope instability, resulting in anomalies such as slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessme
Externí odkaz:
https://doaj.org/article/9e8ad6b6e56c48bbbcc44be1fa87ad0a
Publikováno v:
Sensors, Vol 16, Iss 6, p 898 (2016)
Fully polarimetric Synthetic Aperture Radar (polSAR) data analysis has wide applications for terrain and ground cover classification. The dynamics of surface and subsurface water events can lead to slope instability resulting in slough slides on eart
Externí odkaz:
https://doaj.org/article/b8ba3a06d09d4434a29095c765576bd3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6424-6433 (2020)
In remote sensing images, domain adaptation (DA) deals with the regions where labeling information is unknown. Typically, hand-driven features for learning a common distribution among known and unknown regions have been extensively exploited to perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ea4f87540bb8b9edc2c1d673bd9fd9f
https://ieeexplore.ieee.org/document/9247118/
https://ieeexplore.ieee.org/document/9247118/
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:5118-5133
In single-polarization synthetic aperture radar imagery, coastline extraction is a challenging task due to complex coastal region condition, low incidence angles (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42eead8abce149355c7ff36d10cde414
https://doi.org/10.1109/jstars.2019.2954619
https://doi.org/10.1109/jstars.2019.2954619
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 16:1746-1750
This letter presents an efficient probabilistic collaborative representation-based classifier (PROCRC) for hyperspectral image classification. Its performance is evaluated on different types of spatial features of hyperspectral imagery (HSI) includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d5386ca80f01a3fc75ad15ecf963726
https://doi.org/10.1109/lgrs.2019.2906839
https://doi.org/10.1109/lgrs.2019.2906839
Publikováno v:
International Journal of Remote Sensing. 40:9065-9069
UAS4Enviro conference was held at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, Croatia from June 27–29, 2018. The conference sponsors were the Remote Sensing and Photogrammetry So
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1549cb96d0b8aa28ca6319e9ea4fe22
https://doi.org/10.1080/01431161.2019.1658409
https://doi.org/10.1080/01431161.2019.1658409
Publikováno v:
2020 SoutheastCon.
Early detection of anomalies on earthen levees by a remote sensing approach could save time and cost versus direct assessment. In this paper, we implemented the support vector machine (svm) supervised classification algorithm with and without feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7887481aa4c1ff56a6805785a0b5b9d7
https://doi.org/10.1109/southeastcon44009.2020.9368279
https://doi.org/10.1109/southeastcon44009.2020.9368279