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scientifique

Adaptive filtering / Wenping Cao (2021)  

Public Titre : Adaptive filtering : recent advances and practical implementation Type de document : Monographie Auteurs : Wenping Cao, Éditeur scientifique ; Qian Zhang, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 ISBN/ISSN/EAN : 978-1-83962-378-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes IGN] covariance [Termes IGN] distribution de Maxwell [Termes IGN] erreur de positionnement [Termes IGN] filtre adaptatif [Termes IGN] filtre de Kalman [Termes IGN] fusion de données [Termes IGN] positionnement en intérieur [Termes IGN] positionnement par GPS [Termes IGN] réseau local sans fil Résumé : (Editeur) Active filters are key technologies in applications such as telecommunications, advanced control, smart grids, and green transport. This book provides an update of the latest technological progress in signal processing and adaptive filters, with a focus on Kalman filters and applications. It illustrates fundamentals and guides filter design for specific applications, primarily for graduate students, academics, and industrial engineers who are interested in the theoretical, experimental, and design aspects of active filter technologies. Note de contenu : 1. Fundamentals of Narrowband Array Signal Processing / By Zeeshan Ahmad 2. Reconfigurable Filter Design / By Tae-Hak Lee, Sang-Gyu Lee, Jean-Jacques Laurin and Ke Wu 3. Kalman Filter Estimation and Its Implementation / By Erick Ulin-Avila and Juan Ponce-Hernandez 4. A Constant Gain Kalman Filter for Wireless Sensor Network and Maneuvering Target Tracking / By Peeyush Awasthi, Ashwin Yadav, Naren Naik and Mudambi Ramaswamy Ananthasayanam 5. Parameter Estimation of Weighted Maxwell-Boltzmann Distribution Using Simulated and Real Life Data Sets / By Javaid Ahmad Reshi, Bilal Ahmad Para and Shahzad Ahmad Bhat 6. Averaging Indoor Localization System / By Eman Shawky Abd El-Fattah Amer Numéro de notice : 26704 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.91562 Date de publication en ligne : 20/10/2021 En ligne : https://doi.org/10.5772/intechopen.91562 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99406

Development and evaluation of GNSS/INS data processing software for position and orientation systems / X. Niu in Survey review, vol 47 n° 341 (March 2015)  

Public [article]  inSurvey review > vol 47 n° 341 (March 2015) . - pp 87 - 98 Titre : Development and evaluation of GNSS/INS data processing software for position and orientation systems Type de document : Article/Communication Auteurs : X. Niu, Auteur ; Qian Zhang, Auteur ; L. Gong, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 87 - 98 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] centrale inertielle à composants liés [Termes IGN] couplage GNSS-INS [Termes IGN] filtre de Kalman [Termes IGN] logiciel de post-traitement GPS [Termes IGN] traitement de données GNSS [Vedettes matières IGN] Traitement de données GNSS Résumé : (auteur) Currently there are limited supportive and reliable commercial software packages for GNSS/INS data processing. The shortage of compatible GNSS/INS data processing software has become a bottleneck in the development of position and orientation systems (POS) for survey and mapping applications. Thus this paper introduces a GNSS/INS data processing software called Cinertial, which has been recently developed in China, with open definitions of data format and parameters. The algorithm design of the software is described in detail, including the realisation of INS mechanisation, Kalman filtering, and backward smoothing. The developed software is tested and evaluated by comparing it with mainstream commercial software through processing the same field test datasets. A precise and feasible comparison procedure is proposed in the paper, so as to evaluate the quality of any new POS software in an efficient, convenient, and cost-effective way. The procedure was applied to compare our new software with two well known commercial software packages through processing airborne and terrestrial datasets respectively. The results show that the new software can achieve the same level of accuracy as the current commercial software on the market, which reflects a new progress of the POS development in China. Numéro de notice : A2015-956 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270614Y.0000000099 En ligne : http://www.tandfonline.com/doi/full/10.1179/1752270614Y.0000000099 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79941 [article]

Automatic spatial–spectral feature selection for hyperspectral image via discriminative sparse multimodal learning / Qian Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 1 (January 2015) . - pp 261 - 279 Titre : Automatic spatial–spectral feature selection for hyperspectral image via discriminative sparse multimodal learning Type de document : Article/Communication Auteurs : Qian Zhang, Auteur ; Yuan Tian, Auteur ; Yuan Yang, Auteur ; Chunhong Pan, Auteur Année de publication : 2015 Article en page(s) : pp 261 - 279 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse discriminante [Termes IGN] apprentissage (cognition) [Termes IGN] apprentissage dirigé [Termes IGN] classification spectrale [Termes IGN] image hyperspectrale [Termes IGN] matrice [Termes IGN] méthode des moindres carrés [Termes IGN] programmation non linéaire Résumé : (Auteur) Spectral-spatial feature combination for hyperspectral image analysis has become an important research topic in hyperspectral remote sensing applications. A simple and straightforward way to integrate spectral-spatial features is to concatenate heterogeneous features into a long vector. Then, the dimensionality reduction techniques, i.e., feature selection, are applied before subsequent utilizations. However, such representation can introduce redundancy and noise. Moreover, traditional single-feature selection methods treat different features equally and ignore their complementary properties. As a result, the performance of subsequent tasks, i.e., classification, would drop down. In this paper, we propose a novel approach to integrate the spectral-spatial features based on the concatenating strategy, termed discriminative sparse multimodal learning for feature selection (DSML-FS). In the proposed method, joint structured sparsity regularizations are used to exploit the intrinsic data structure and relationships among different features. Discriminative least squares regression is applied to enlarge the distance between classes. Therefore, the weight matrix incorporating the information of feature wise and individual properties is automatically learned for spectral-spatial feature selection. We develop an alternative iterative algorithm to solve the nonlinear optimization problem in DSML-FS with global convergence. We systematically evaluate the proposed algorithm on three available hyperspectral data sets, and the encouraging experimental results demonstrate the effectiveness of DSML-FS. Numéro de notice : A2015-032 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2321277 En ligne : https://doi.org/10.1109/TGRS.2014.2321277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75114 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2015011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The Normalization of surface anisotropy effects present in SEVIRI reflectances by using the MODIS BRDF method / Simon Richard Proud in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6026 - 6039 Titre : The Normalization of surface anisotropy effects present in SEVIRI reflectances by using the MODIS BRDF method Type de document : Article/Communication Auteurs : Simon Richard Proud, Auteur ; Qian Zhang, Auteur ; Crystal Schaaf, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6026 - 6039 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] anisotropie [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] image Aqua-MODIS [Termes IGN] image MSG-SEVIRI [Termes IGN] image Terra-MODIS [Termes IGN] rayonnement proche infrarouge Résumé : (Auteur) A modified version of the MODerate resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) algorithm is presented for use in the angular normalization of surface reflectance data gathered by the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG) satellites. We present early and provisional daily nadir BRDF-adjusted reflectance (NBAR) data in the visible and near-infrared MSG channels. These utilize the high temporal resolution of MSG to produce BRDF retrievals with a greatly reduced acquisition period than the comparable MODIS products while, at the same time, removing many of the angular perturbations present within the original MSG data. The NBAR data are validated against reflectance data from the MODIS instrument and in situ data gathered at a field location in Africa throughout 2008. It is found that the MSG retrievals are stable and are of high-quality across much of the SEVIRI disk while maintaining a higher temporal resolution than the MODIS BRDF products. However, a number of circumstances are discovered whereby the BRDF model is unable to function correctly with the SEVIRI observations-primarily because of an insufficient spread of angular data due to the fixed sensor location or localized cloud contamination. Numéro de notice : A2014-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2294602 En ligne : https://doi.org/10.1109/TGRS.2013.2294602 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74059 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2014101A	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spatial variability of soil nutrients and GIS-based nutrient management in Yongji County, China / Qian Zhang in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 965 - 981 Titre : Spatial variability of soil nutrients and GIS-based nutrient management in Yongji County, China Type de document : Article/Communication Auteurs : Qian Zhang, Auteur ; Z. Yang, Auteur ; Y. Li, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 965 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] azote [Termes IGN] Chansi (Chine) [Termes IGN] krigeage [Termes IGN] phosphore [Termes IGN] potassium [Termes IGN] sol arable [Termes IGN] système d'information géographique [Termes IGN] variabilité [Termes IGN] variable régionalisée Résumé : (Auteur) Integrated nutrient management is important for sustainable agricultural production and protecting environment quality and has been widely investigated around the world. In this article the spatial variability of soil nutrients was investigated and a regionalized nutrient management system was developed using geostatistics and geographic information system technologies. A total of 511 GPS-referenced soil samples were taken in Yongji County, Shanxi province, China, and analysed for major soil nutrients: soil total nitrogen (TN), Olsen extractable phosphorus (OLSENP) and extractable potassium (EXTK). Low concentrations of nitrogen (N) and phosphorus (P) were found and they are likely to be the main limiting nutrients for crop growth in this county. Within the county moderate spatial dependence was found for all three soil variables, but at different spatial scales. The spatial distributions of TN, OLSENP and EXTK were estimated by using kriging interpolation. The cropped areas of the county were divided into fertilizer management categories consisting of four classes of TN, three classes of OLSENP and two classes of EXTK. For the targeted crop yields, regionalized fertilization maps of N, P and K in the county were produced using geographic information system. In 3-year field verification trials in two villages the crop yields of the wheat-maize rotation system increased by 10-20%, and farmers' cash income increased by 1550-2610 RMB ha-1 year-1 where regional fertilization recommendations were implemented, in comparison with traditional farmers' practices. The regionalized maps are a practical alternative to site-specific soil nutrient management approaches in areas where it is not practical, because of small farm size or other constraints, to use intensive soil sampling and chemical analyses. Numéro de notice : A2010-315 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903257954 En ligne : https://doi.org/10.1080/13658810903257954 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30509 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Placing text and icon labels simultaneously: a real-time method / Qian Zhang in Cartography and Geographic Information Science, vol 33 n° 1 (January 2006)  

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Three-dimensional SAR imaging of a ground moving target using the INSAR technique / Qian Zhang in IEEE Transactions on geoscience and remote sensing, vol 42 n° 9 (October 2004)  

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Study of urban spatial patterns from SPOT panchromatic imagery using textural analysis / Qian Zhang in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)  

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