Zobrazeno 1 - 7
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pro vyhledávání: '"Asma Elmaizi"'
Recently, the hyperspectral sensors have improved our ability to monitor the earth surface with high spectral resolution. However, the high dimensionality of spectral data brings challenges for the image processing. Consequently, the dimensionality r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaef68e14a9549af0b5716a68c7487d8
Publikováno v:
Procedia Computer Science. 148:97-106
Nowadays, the hyperspectral remote sensing imagery HSI becomes an important tool to observe the Earth's surface, detect the climatic changes and many other applications. The classification of HSI is one of the most challenging tasks due to the large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11889e5e921c38e8f7a74262a78a03d4
https://doi.org/10.1016/j.procs.2019.01.013
https://doi.org/10.1016/j.procs.2019.01.013
Publikováno v:
2018 4th International Conference on Optimization and Applications (ICOA).
Feature selection is one of the most important problems in hyperspectral images classification. It consists to choose the most informative bands from the entire set of input datasets and discard the noisy, redundant and irrelevant ones. In this conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::389e4d71d014275989ca3b20190010ea
https://doi.org/10.1109/icoa.2018.8370546
https://doi.org/10.1109/icoa.2018.8370546
Publikováno v:
ATSIP
The high dimensionality of hyperspectral images often imposes a heavy computational burden for image processing. Therefore, dimensionality reduction is often an essential step in order to remove the irrelevant, noisy and redundant bands. And conseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfba6cd46544f034eba2be50445253de
https://doi.org/10.1109/atsip.2017.8075549
https://doi.org/10.1109/atsip.2017.8075549
Publikováno v:
ISNCC
The high dimensionality of hyperspectral images consisting of several bands often imposes a big computational challenge for image processing. Therefore, spectral band selection is an essential step for removing the irrelevant, noisy and redundant ban
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b31bd02e3356ac65e33888ae3d37275a
https://doi.org/10.1109/isncc.2017.8072002
https://doi.org/10.1109/isncc.2017.8072002
Publikováno v:
2016 International Conference on Electrical and Information Technologies (ICEIT).
The high dimensionality of hyperspectral images (HSI) that contains more than hundred bands (images) for the same region called Ground Truth Map, often imposes a heavy computational burden for image processing and complicates the learning process. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24fcd1b1961582e01550906767b6c0de
https://doi.org/10.1109/eitech.2016.7519622
https://doi.org/10.1109/eitech.2016.7519622
Autor:
Said Belkouch, Phlippe Le Gall, Moha M'Rabet Hassani, Philippe Elleaume, Asma Elmaizi, Abdessamad Klilou, Francois Bourzeix
Publikováno v:
2016 International Conference on Information Technology for Organizations Development (IT4OD).
A massively parallel machine based on Serial RapidIO (SRIO) interconnect is presented in this paper. The proposed machine consists of multi digital signal processors (multi-DSPs) and multi-cores in one DSP. A core is the basic processing element and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c96bd556bb4e528733d9be18bec63ba0
https://doi.org/10.1109/it4od.2016.7479324
https://doi.org/10.1109/it4od.2016.7479324