The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity

Autor: Yanbiao Ma, Yuxin Li, Kexin Feng, Yu Xia, Qi Huang, Hongyan Zhang, Colin Prieur, Giorgio Licciardi, Hana Malha, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12375-12385 (2021)

In this article, we elaborate on the scientific outcomes of the 2021 Data Fusion Contest (DFC2021), which was organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society, on the subject of geo

Externí odkaz: https://doaj.org/article/ba65793c60b5436ba2de852c97c38dba

Non-Linear Spectral Unmixing for the Estimation of the Distribution of Graphene Oxide Deposition on 3D Printed Composites

Autor: Giorgio Licciardi, Costantino Del Gaudio, Jocelyn Chanussot

Publikováno v: Applied Sciences, Vol 10, Iss 21, p 7792 (2020)

Hyperspectral analysis is a well-established technique that can be suitably implemented in several application fields, including materials science. This approach allows us to deal with data samples containing spatial and spectral information at very

Externí odkaz: https://doaj.org/article/3800e0de87e34d90a46a070987bcaa16

The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity

Autor: Qi Huang, Yanbiao Ma, Yuxin Li, Colin Prieur, Kexin Feng, Naoto Yokoya, Yu Xia, Hana Malha, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot, Hongyan Zhang, Ronny Hänsch

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12375-12385 (2021)

In this paper, we elaborate on the scientific outcomes of the 2021 Data Fusion Contest (DFC2021), which was organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society, on the subject of geosp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54c3fc5933f74518224174413d56905
https://doi.org/10.1109/jstars.2021.3130446

Analysis of the chemical and physical environmental aspects that promoted the spread of sars-cov-2 in the lombard area

Autor: Jocelyn Chanussot, Costantino Del Gaudio, Giorgio Licciardi, Roberto Dragone, Gerardo Grasso

Publikováno v: International journal of environmental research and public health
18 (2021): 1–20. doi:10.3390/ijerph18031226
info:cnr-pdr/source/autori:Dragone R.; Licciardi G.; Grasso G.; Del Gaudio C.; Chanussot J./titolo:Analysis of the chemical and physical environmental aspects that promoted the spread of sars-cov-2 in the lombard area/doi:10.3390%2Fijerph18031226/rivista:International journal of environmental research and public health (Print)/anno:2021/pagina_da:1/pagina_a:20/intervallo_pagine:1–20/volume:18
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, MDPI, 2021, 18 (3), pp.1226. ⟨10.3390/ijerph18031226⟩
International Journal of Environmental Research and Public Health, Vol 18, Iss 1226, p 1226 (2021)
Volume 18
Issue 3

International audience; Recent works have demonstrated that particulate matter (PM) and specific meteorological conditions played an important role in the airborne transmission of the SARS-CoV-1 and MERS-CoV. These studies suggest that these paramete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ffdba462bdd3e66ebbcd9c92936ab57
http://www.scopus.com/record/display.url?eid=2-s2.0-85099957958&origin=inward

Hyperspectral Local Intrinsic Dimensionality

Autor: Lucas Drumetz, Jocelyn Chanussot, Giorgio Licciardi, Mauro Dalla Mura, Ruben Marrero Gomez, Miguel Angel Veganzones, Christian Jutten, Guillaume Tochon

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, 54 (7), pp.4063-4078. ⟨10.1109/TGRS.2016.2536480⟩
IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (7), pp.4063-4078. ⟨10.1109/TGRS.2016.2536480⟩

International audience; The Intrinsic Dimensionality (ID) of multivariate data is a very important concept in spectral unmixing of hyperspectral images. A good estimation of the ID is crucial for a correct retrieval of the number of endmembers (the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ff1aefaf61726775070e234bae3450
https://doi.org/10.1109/tgrs.2016.2536480