Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Fatima Zohra Benhalouche"'
Autor:
Yannick Deville, Salah-Eddine Brezini, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Mireille Guillaume, Xavier Lenot, Bruno Lafrance, Malik Chami, Sylvain Jay, Audrey Minghelli, Xavier Briottet, Véronique Serfaty
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4583 (2023)
In a previous paper, we introduced (i) a specific hyperspectral mixing model for the sea bottom, based on a detailed physical analysis that includes the adjacency effect, and (ii) an associated unmixing method that is supervised (i.e., not blind) in
Externí odkaz:
https://doaj.org/article/075365cca8fa4f398918dd48b9b2bd27
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2305 (2022)
During the oil extraction procedure, natural gases escape from wells, and the process of recuperating such gases requires important investments from oil and gas companies. That is why, most often, they favor burning them with flares. This practice, w
Externí odkaz:
https://doaj.org/article/0a4df0d478bb4c6c834a51b093cf5a74
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2132 (2021)
Unsupervised hyperspectral unmixing methods aim to extract endmember spectra and infer the proportion of each of these spectra in each observed pixel when considering linear mixtures. However, the interaction between sunlight and the Earth’s surfac
Externí odkaz:
https://doaj.org/article/023356e21a114e96bb8526b74c4dc9a0
Autor:
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Yannick Deville, Khelifa Djerriri, Xavier Briottet, Thomas Houet, Arnaud Le Bris, Christiane Weber
Publikováno v:
Remote Sensing, Vol 11, Iss 18, p 2164 (2019)
High-spectral-resolution hyperspectral data are acquired by sensors that gather images from hundreds of narrow and contiguous bands of the electromagnetic spectrum. These data offer unique opportunities for characterization and precise land surface r
Externí odkaz:
https://doaj.org/article/61d914e0ede94f51ad2326a38b544f13
Autor:
Yannick Deville, Moussa Sofiane Karoui, Abdelaziz Ouamri, Salah Eddine Brezini, Fatima Zohra Benhalouche
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Hypersharpening consists in generating an unobservable high-spatial-resolution hyperspectral image by fusing an observed low-spatial-resolution hyperspectral image with an observed high-spatial-resolution panchromatic or multispectral one. The obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cef799645e89f4f3419b0968432acda
https://doi.org/10.1109/lgrs.2021.3072405
https://doi.org/10.1109/lgrs.2021.3072405
Publikováno v:
Journal of Applied Remote Sensing. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab206cc81eb7d600647343ec3ca2d149
https://doi.org/10.1117/1.jrs.16.030502
https://doi.org/10.1117/1.jrs.16.030502
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb176cb888ad77ad36c8afd0ad26659b
https://doi.org/10.1109/igarss46834.2022.9883849
https://doi.org/10.1109/igarss46834.2022.9883849
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80214c7e329960f4fd35dc458dc62fcf
https://doi.org/10.1109/igarss46834.2022.9884776
https://doi.org/10.1109/igarss46834.2022.9884776
Autor:
Fatima Zohra Benhalouche, Oussama Benabbou, Moussa Sofiane Karoui, Lahsen Wahib Kebir, Ahmed Bennia, Yannick Deville
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6699030e1ebe53b6a94c9527083ea9
https://doi.org/10.1109/igarss46834.2022.9884746
https://doi.org/10.1109/igarss46834.2022.9884746
Publikováno v:
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::840df87add3d899cad8d9876adfd0b18
https://doi.org/10.1109/m2garss52314.2022.9840208
https://doi.org/10.1109/m2garss52314.2022.9840208