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Integrated Kalman filter of accurate ranging and tracking with wideband radar / Shaopeng Wei in IEEE Transactions on geoscience and remote sensing, Vol 58 n° 12 (December 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > Vol 58 n° 12 (December 2020) . - pp 8395 - 8411 Titre : Integrated Kalman filter of accurate ranging and tracking with wideband radar Type de document : Article/Communication Auteurs : Shaopeng Wei, Auteur ; Lei Zhang, Auteur ; Hongwei Liu, Auteur Année de publication : 2020 Article en page(s) : pp 8395 - 8411 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande spectrale [Termes IGN] filtrage bayésien [Termes IGN] filtre de Kalman [Termes IGN] inférence statistique [Termes IGN] largeur de bande [Termes IGN] phase [Termes IGN] poursuite de cible [Termes IGN] seuillage d'image [Termes IGN] signal Résumé : (auteur) Accurate ranging and wideband tracking are treated as two independent and separate processes in traditional radar systems. As a result, limited by low data rate due to nonsequential processing, accurate ranging usually performs low efficiency in practical application. Similarly, without applying accurate ranging, the data after thresholding and clustering are used in wideband tracking, leading to a significant decrease in tracking accuracy. In this article, an integrated Kalman filter of accurate ranging and tracking is proposed using methods of phase-derived-ranging and Bayesian inference in wideband radar. Besides the motion state, in this integrated Kalman filter, the complex-valued high-resolution range profile (HRRP) is also introduced as a reference signal by coherent integration in a sliding window, which incorporates target’s scattering distribution and phase characteristics. Corresponding kinetic equations are derived to predict the motion state and the reference signal in the next moment. A ranging process is constructed based on the received signal and the predicted reference signal in order to estimate innovation using methods of phase-derived-ranging and Bayesian inference, and a sequential update for motion state can be accomplished with the Kalman filter as well. In every recursion, the complex-valued reference signal is also updated by coherently integrating the latest pulses. The integrated Kalman filter takes full use of high range resolution and phase information, improving both efficiency and precision compared with conventional approaches of ranging and wideband tracking. Implemented in a sequential manner, the integrated Kalman filter can be applied in a real-time application, realizing simultaneous ranging with high precision and wideband tracking. Finally, simulated and real-measured experiments confirm the remarkable performance. Numéro de notice : A2020-740 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.2987854 Date de publication en ligne : 29/04/2020 En ligne : https://doi.org/10.1109/TGRS.2020.2987854 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96367 [article]

Estimation of 3-D surface displacement based on InSAR and deformation modeling / Jun Hu in IEEE Transactions on geoscience and remote sensing, vol 55 n° 4 (April 2017)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 55 n° 4 (April 2017) . - pp 2007 - 2016 Titre : Estimation of 3-D surface displacement based on InSAR and deformation modeling Type de document : Article/Communication Auteurs : Jun Hu, Auteur ; Xiao-Li Ding, Auteur ; Lei Zhang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2007 - 2016 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] déformation de surface [Termes IGN] dynamique des fluides [Termes IGN] élasticité [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] modélisation 3D [Termes IGN] test de performance Résumé : (Auteur) A new approach is presented for mapping 3-D surface displacement caused by subsurface fluid volumetric change based on 1-D interferometric synthetic aperture radar (InSAR) line-of-sight measurements and surface deformation modeling. The relationship between surface deformation and source fluid volumetric change is modeled according to elastic half-space theory. A distinctive advantage of the proposed approach is that it effectively extends the capability of the sun-synchronous orbit side-looking synthetic aperture radar that has been essentially only able to measure 1-D displacements accurately or at most 2-D displacements when InSAR measurements from more than one orbit or platform are combined. Experimental studies are carried out with both simulated and real data sets to test the performance of the method. The results have demonstrated that the approach works very well. Numéro de notice : A2017-171 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2634087 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2634087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84715 [article]

Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing / Lei Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7223 - 7235 Titre : Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing Type de document : Article/Communication Auteurs : Lei Zhang, Auteur ; Wei Wei, Auteur ; Yanning Zhang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 7223 - 7235 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage automatique [Termes IGN] bruit blanc [Termes IGN] compression d'image [Termes IGN] image hyperspectrale [Termes IGN] reconstruction d'image Résumé : (Auteur) The ability to accurately represent a hyperspectral image (HSI) as a combination of a small number of elements from an appropriate dictionary underpins much of the recent progress in hyperspectral compressive sensing (HCS). Preserving structure in the sparse representation is critical to achieving an accurate reconstruction but has thus far only been partially exploited because existing methods assume a predefined dictionary. To address this problem, a structured sparsity-based hyperspectral blind compressive sensing method is presented in this study. For the reconstructed HSI, a data-adaptive dictionary is learned directly from its noisy measurements, which promotes the underlying structured sparsity and obviously improves reconstruction accuracy. Specifically, a fully structured dictionary prior is first proposed to jointly depict the structure in each dictionary atom as well as the correlation between atoms, where the magnitude of each atom is also regularized. Then, a reweighted Laplace prior is employed to model the structured sparsity in the representation of the HSI. Based on these two priors, a unified optimization framework is proposed to learn both the dictionary and sparse representation from the measurements by alternatively optimizing two separate latent variable Bayes models. With the learned dictionary, the structured sparsity of HSIs can be well described by the reweighted Laplace prior. In addition, both the learned dictionary and sparse representation are robust to noise corruption in the measurements. Extensive experiments on three hyperspectral data sets demonstrate that the proposed method outperforms several state-of-the-art HCS methods in terms of the reconstruction accuracy achieved. Numéro de notice : A2016-929 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2598577 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2598577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83343 [article]

The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 1. Revised selected papers Part 1 / Peter F. Patel-Schneider (2010)  

Public Titre de série : The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 1 Titre : Revised selected papers Part 1 Type de document : Actes de congrès Auteurs : Peter F. Patel-Schneider, Éditeur scientifique ; Pascal Hitzler, Éditeur scientifique ; Lei Zhang, Éditeur scientifique ; Ian Harrocks, Éditeur scientifique ; Yue Pan, Éditeur scientifique ; Peter Mika, Éditeur scientifique ; Jeff Z. Pan, Éditeur scientifique ; Birte Glimm, Éditeur scientifique ; Ian Horrocks, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 6496 Conférence : ISWC 2010, 9th international semantic web conference 07/11/2010 11/11/2010 Shanghai Chine Proceedings Springer Importance : 833 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-642-17745-3 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] ontologie [Termes IGN] service web sémantique [Termes IGN] web sémantique Résumé : (éditeur) The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web. Numéro de notice : 17083A Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : 10.1007/978-3-642-17746-0 En ligne : http://dx.doi.org/10.1007/978-3-642-17746-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79431

Voir aussi

• The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 2. Revised Selected Papers, Part 2 / Peter F. Patel-Schneider (2010)  

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
17083-01A	CG2010	Livre	Centre de documentation	Congrès	Disponible
17083-02A	CG2010	Livre	Centre de documentation	Congrès	Disponible

The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 2. Revised Selected Papers, Part 2 / Peter F. Patel-Schneider (2010)  

Public Titre de série : The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 2 Titre : Revised Selected Papers, Part 2 Type de document : Actes de congrès Auteurs : Peter F. Patel-Schneider, Éditeur scientifique ; Pascal Hitzler, Éditeur scientifique ; Lei Zhang, Éditeur scientifique ; Ian Harrocks, Éditeur scientifique ; Yue Pan, Éditeur scientifique ; Peter Mika, Éditeur scientifique ; Jeff Z. Pan, Éditeur scientifique ; Birte Glimm, Éditeur scientifique ; Ian Horrocks, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 6497 Conférence : ISWC 2010, 9th international semantic web conference 07/11/2010 11/11/2010 Shanghai Chine Proceedings Springer Importance : 373 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-642-17748-4 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] ontologie [Termes IGN] service web sémantique [Termes IGN] web sémantique Résumé : (éditeur) The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web. Numéro de notice : 17083B Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : 10.1007/978-3-642-17749-1 En ligne : http://dx.doi.org/10.1007/978-3-642-17749-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79432

Voir aussi

• The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 2010, 1. Revised selected papers Part 1 / Peter F. Patel-Schneider (2010)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
17083-01B	CG2010	Livre	Centre de documentation	Congrès	Disponible