Ces travaux de thèse concernent le développement de nouvelles méthodes de séparation aveugle de mélanges linéaires instantanés pour des applications à des données hyperspectrales en astrophysique. Nous avons proposé trois approches pour effectuer la séparation des données. Une première contribution est fondée sur l'hybridation de deux méthodes existantes de séparation aveugle de source (SAS) : la méthode SpaceCORR nécessitant une hypothèse de parcimonie et une méthode de factorisation en matrices non négatives (NMF). Nous montrons que l'utilisation des résultats de SpaceCORR pour initialiser la NMF permet d'améliorer les performances des méthodes utilisées seules. Nous avons ensuite proposé une première méthode originale permettant de relâcher la contrainte de parcimonie de SpaceCORR. La méthode MASS (pour \textit{Maximum Angle Source Separation}) est une méthode géométrique basée sur l'extraction de pixels mono-sources pour réaliser la séparation des données. Nous avons également étudié l'hybridation de MASS avec la NMF. Enfin, nous avons proposé une seconde approche permettant de relâcher la contrainte de parcimonie de SpaceCORR. La méthode originale SIBIS (pour \textit{Subspace-Intersection Blind Identification and Separation}) est une méthode géométrique basée sur l'identification de l'intersection de sous-espaces engendrés par des régions de l'image hyperspectrale. Ces intersections permettent, sous une hypothèse faible de parcimonie, de réaliser la séparation des données. L'ensemble des approches proposées dans ces travaux ont été validées par des tests sur données simulées puis appliquées sur données réelles. Les résultats obtenus sur ces données sont très encourageants et sont comparés à ceux obtenus par des méthodes de la littérature. / This thesis deals with the development of new blind separation methods for linear instantaneous mixtures applicable to astrophysical hyperspectral data sets. We propose three approaches to perform data separation. A first contribution is based on hybridization of two existing blind source separation (BSS) methods: the SpaceCORR method, requiring a sparsity assumption, and a non-negative matrix factorization (NMF) method. We show that using SpaceCORR results to initialize the NMF improves the performance of the methods used alone. We then proposed a first original method to relax the sparsity constraint of SpaceCORR. The method called MASS (Maximum Angle Source Separation) is a geometric method based on the extraction of single-source pixels to achieve the separation of data. We also studied the hybridization of MASS with the NMF. Finally, we proposed an approach to relax the sparsity constraint of SpaceCORR. The original method called SIBIS (Subspace-Intersection Blind Identification and Separation) is a geometric method based on the identification of intersections of subspaces generated by regions of the hyperspectral image. Under a sparsity assumption, these intersections allow one to achieve the separation of the data. The approaches proposed in this manuscript have been validated by experimentations on simulated data and then applied to real data. The results obtained on our data are very encouraging and are compared with those obtained by methods from the literature.

As interações tróficas de 31 espécies de peixes e 2 de lulas da Baía do Araçá, São Sebastião (SP), foram investigadas por meio dos isótopos estáveis de carbono (δ13C) e nitrogênio (δ15N). Os valores de δ13C das espécies variaram entre -17,2‰ e -12,1‰, e os de δ15N, entre 10,0‰ e 14,5‰. Os valores de δ13C dos produtores e consumidores permitiram indicar que as espécies analisadas participam das teias tróficas, pelágica e bentônica, e têm como base da cadeia alimentar o fitoplâncton, os microfitobentos e a matéria orgânica dos sedimentos. Maiores valores de δ13C nos peixes e lulas foram registrados no verão, associados a valores mais altos na base. As posições tróficas das espécies variaram entre 3,18 e 4,72, indicando que atuam como consumidores secundários e terciários. A composição da dieta dos peixes, avaliada pelo modelo de mistura isotópica, apontou elevada contribuição de presas como Polychaeta, Tanaidacea e Ophiuroidea, grupos com alta abundância na Baía do Araçá e no Canal de São Sebastião. A ingestão de presas disponíveis no interior da baía e no canal evidenciou a importância desses peixes e lulas como carreadores de nutrientes, realizando tanto acoplamento pelágico-bentônico, como entre as regiões sublitoral e entremarés da Baía do Araçá. / The trophic interactions of 31 fish species and 2 squid species of the Araçá Bay, São Sebastião (São Paulo, Brazil), were investigated through carbon (δ13C) and nitrogen (δ15N) stable isotopes. The δ13C of the species ranged from -17.2‰ to -12.1‰, and the δ15N, from 10.0‰ to 14.5‰. The δ13C data of the producers and consumers indicated that the species analysed are part of the pelagic and benthic trophic webs, and have phytoplankton, microphytobenthos and organic matter from the sediment as the base of the food web. Higher values of δ13C were registered in the summer, linked to the higher values at the base. The trophic positions of the species varied between 3.18 e 4.72, an indication that they act as secondary and tertiary-quaternary consumers. The diet composition of fish, evaluated trough the isotope mixing model, showed high contribution of prey, such as Polychaeta, Tanaidacea and Ophiuroidea, groups highly abundant in the Bay and the adjacent São Sebastião Channel. The intake of available prey in the intertidal region and in the Channel revealed the importance of the fish and squid as nutrient pathway links, coupling the pelagic-benthic systems and the sublittoral and intertidal regions of the Araçá Bay.

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第15315号 / 工博第3194号 / 新制||工||1481(附属図書館) / 27793 / 京都大学大学院工学研究科都市環境工学専攻 / (主査)教授 角 哲也, 准教授 竹門 康弘, 准教授 武藤 裕則 / 学位規則第4条第1項該当