Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Sofiane, KAROUI"'
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
Autor:
Sarra Ikram Benabadji, Moussa Sofiane Karoui, Khelifa Djerriri, Issam Boukerch, Nezha Farhi, Mohammed Amine Bouhlala
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 30-39 (2019)
Selecting the decisive spectral bands is a key issue in unsupervised hyperspectral band selection techniques. These methods are the most popular ways for dimensionality reduction of original data. A compact data representation without compromising th
Externí odkaz:
https://doaj.org/article/cf49bd3d63a3443c96fda0d7f0972e18
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:
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:
Remote Sensing, Vol 12, Iss 19, p 3198 (2020)
Blind source separation (or unmixing) methods process a set of mixed signals, which are typically linear memoryless combinations of source signals, so as to estimate these unknown source signals and/or combination coefficients. These methods have bee
Externí odkaz:
https://doaj.org/article/4c4622d89e9e4088871872839210d864
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
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1588a01c7eed01df033a514b6d1a0f
https://doi.org/10.1109/igarss46834.2022.9884192
https://doi.org/10.1109/igarss46834.2022.9884192