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Endmember bundle extraction based on multiobjective optimization / Rong Liu in IEEE Transactions on geoscience and remote sensing, vol 59 n° 10 (October 2021)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 59 n° 10 (October 2021) . - pp 8630 - 8645 Titre : Endmember bundle extraction based on multiobjective optimization Type de document : Article/Communication Auteurs : Rong Liu, Auteur ; Xiao Xiang Zhu, Auteur Année de publication : 2021 Article en page(s) : pp 8630 - 8645 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse spectrale [Termes IGN] compensation par faisceaux [Termes IGN] distribution de Pareto [Termes IGN] image hyperspectrale [Termes IGN] modèle linéaire [Termes IGN] optimisation par essaim de particules Résumé : (auteur) A number of endmember extraction methods have been developed to identify pure pixels in hyperspectral images (HSIs). The majority of them use only one spectrum to represent one kind of material, which ignores the spectral variability problem that particularly characterizes a HSI with high spatial resolution. Only a few algorithms have been developed to identify multiple endmembers representing the spectral variability within each class, called endmember bundle extraction (EBE). This article introduces multiobjective particle swarm optimization for the identification of multiple endmember spectra with variability. Unlike existing convex geometry-based EBE methods, which operate on a single geometry of the dataspace, the proposed method divides the observed data into subsets along the spectral dimension and simultaneously operates on multiple dataspaces to obtain candidate endmembers based on multiobjective particle swarm optimization. The candidate endmembers are then refined by spatial post-processing and sequential forward floating selection to produce the final result. Experiments are conducted on both synthetic and real hyperspectral data to demonstrate the effectiveness of the proposed method in comparison with several state-of-the-art methods. Numéro de notice : A2021-714 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3037249 En ligne : https://doi.org/10.1109/TGRS.2020.3037249 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98621 [article]

Street hierarchies: a minority of streets account for a majority of traffic flow / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n° 7-8 (july 2009) . - pp 1033 - 1048 Titre : Street hierarchies: a minority of streets account for a majority of traffic flow Type de document : Article/Communication Auteurs : Bin Jiang, Auteur Année de publication : 2009 Article en page(s) : pp 1033 - 1048 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] approche hiérarchique [Termes IGN] distribution de Pareto [Termes IGN] mobilité urbaine [Termes IGN] réseau routier [Termes IGN] trafic routier [Termes IGN] trafic urbain Résumé : (Auteur) Urban streets are hierarchically organized in the sense that a majority of streets are trivial, while a minority of streets is vital. This hierarchy can be simply, but elegantly, characterized by the 80/20 principle, i.e. 80% of streets are less connected (below the average), while 20% of streets are well connected (above the average); out of the 20%, there is 1% of streets that are extremely well connected. This paper, using a European city as an example, examined, at a much more detailed level, such street hierarchies from the perspective of geometric and topological properties. Based on an empirical study, we further proved a previous conjecture that a minority of streets accounts for a majority of traffic flow; more accurately, the 20% of top streets accommodate 80% of traffic flow (20/80), and the 1% of top streets account for more than 20% of traffic flow (1/20). Our study provides new evidence as to how a city is (self-)organized, contributing to the understanding of cities and their evolution using increasingly available mobility geographic information. Copyright Taylor & Francis Numéro de notice : A2009-345 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802004648 En ligne : https://doi.org/10.1080/13658810802004648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29975 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-09052	RAB	Revue	Centre de documentation	En réserve L003	Disponible