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Simultaneous intensity bias estimation and stripe noise removal in infrared images using the global and local sparsity constraints / Li Liu in IEEE Transactions on geoscience and remote sensing, vol 58 n° 3 (March 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 3 (March 2020) . - pp 1777 - 1789 Titre : Simultaneous intensity bias estimation and stripe noise removal in infrared images using the global and local sparsity constraints Type de document : Article/Communication Auteurs : Li Liu, Auteur ; Luping Xu, Auteur ; Houzhang Fang, Auteur Année de publication : 2020 Article en page(s) : pp 1777 - 1789 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] analyse bivariée [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] filtrage du bruit [Termes descripteurs IGN] image infrarouge [Termes descripteurs IGN] intensité lumineuse [Termes descripteurs IGN] interpolation polynomiale [Termes descripteurs IGN] itération [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] programmation par contraintes [Termes descripteurs IGN] texture d'image Résumé : (Auteur) Infrared (IR) images are often contaminated by obvious intensity bias and stripes, which severely affect the visual quality and subsequent applications. It is challenging to eliminate simultaneously the mixed nonuniformity noise without blurring the fine-image details in low-textured IR images. In this article, we present a new model for simultaneous intensity bias correction and destriping through introducing two sparsity constraints. One is that model fit on the intensity bias should be as accurate as possible. A bivariate polynomial model is built to characterize the global smoothness of the intensity bias. The other constraint is that the unidirectional variational sparse model can concisely represent the direction characteristic of stripe noise. A computationally efficient numerical algorithm based on split Bregman iteration is used to solve the complex optimization problem. The proposed method is fundamentally different from the existing denoising techniques and simultaneously estimates the sharp image, intensity bias, and stripe components. Significant improvement on image quality is achieved on both simulated and real studies. Both qualitative and quantitative comparisons with the state-of-the-art correction methods demonstrate its superiority. Numéro de notice : A2020-089 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2948601 date de publication en ligne : 18/11/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2948601 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94663 [article]

A general method for the classification of forest stands using species composition and vertical and horizontal structure / Miquel de Cáceres in Annals of Forest Science [en ligne], vol 76 n° 2 (June 2019)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 76 n° 2 (June 2019) Titre : A general method for the classification of forest stands using species composition and vertical and horizontal structure Type de document : Article/Communication Auteurs : Miquel de Cáceres, Auteur ; Santiago Martín-Alcón, Auteur ; José Ramon Gonzalez-Olabarria, Auteur ; Lluis Coll, Auteur Année de publication : 2019 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse bivariée [Termes descripteurs IGN] analyse univariée [Termes descripteurs IGN] Catalogne (Espagne) [Termes descripteurs IGN] composition floristique [Termes descripteurs IGN] diamètre des arbres [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] inventaire forestier (techniques et méthodes) [Termes descripteurs IGN] inventaire forestier étranger (données) [Termes descripteurs IGN] peuplement forestier [Termes descripteurs IGN] similitude [Termes descripteurs IGN] structure d'un peuplement forestier [Termes descripteurs IGN] typologie forestière [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) Context : Forest typologies are useful for many purposes, including forest mapping, assessing habitat quality, studying forest dynamics, or defining sustainable management strategies. Quantitative typologies meant for forestry applications normally focus on horizontal and vertical structure of forest plots as main classification criteria, with species composition often playing a secondary role. The selection of relevant variables is often idiosyncratic and influenced by a priori expectations of the forest types to be distinguished. Aims : We present a general framework to define forest typologies where the dissimilarity between forest stands is assessed using coefficients that integrate the information of species composition with the univariate distribution of tree diameters or heights or the bivariate distribution of tree diameters and heights. Methods : We illustrate our proposal with the classification of forest inventory plots in Catalonia (NE Spain), comparing the results obtained using the bivariate distribution of diameters and heights to those obtained using either tree heights or tree diameters only. Results : The number of subtypes obtained using the tree diameter distribution for the calculation of dissimilarity was often the same as those obtained from the tree height distribution or to those using the bivariate distribution. However, classifications obtained using the three approaches were often different in terms of forest plot membership. Conclusion : The proposed classification framework is particularly suited to define forest typologies from forest inventory data and allows taking advantage of the bivariate distribution of diameters and heights if both variables are measured. It can provide support to the development of typologies in situations where fine-scale variability of topographic, climatic, and legacy management factors leads to fine-scale variation in forest structure and composition, including uneven-aged and mixed stands. Numéro de notice : A2019-183 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-019-0824-0 date de publication en ligne : 12/04/2019 En ligne : https://doi.org/10.1007/s13595-019-0824-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92704 [article]

Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods / Fatemeh Falah in Geocarto international, vol 32 n° 10 (October 2017)  

Public [article]  inGeocarto international > vol 32 n° 10 (October 2017) . - pp 1069 - 1089 Titre : Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods Type de document : Article/Communication Auteurs : Fatemeh Falah, Auteur ; Samira Ghorbani Nejad, Auteur ; Omid Rahmati, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1069 - 1089 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] analyse bivariée [Termes descripteurs IGN] ArcGIS [Termes descripteurs IGN] eau souterraine [Termes descripteurs IGN] géostatistique [Termes descripteurs IGN] Iran [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] ressources en eau [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) Groundwater is the most valuable natural resource in arid areas. Therefore, any attempt to investigate potential zones of groundwater for further management of water supply is necessary. Hence, many researchers have worked on this subject all around the world. On the other hand, the Generalized Additive Model (GAM) has been applied to environmental and ecological modelling, but its applicability to other kinds of predictive modelling such as groundwater potential mapping has not yet been investigated. Therefore, the main purpose of this study is to evaluate the performance of GAM model and then its comparison with three popular GIS-based bivariate statistical methods, namely Frequency Ratio (FR), Statistical Index (SI) and Weight-of-Evidence (WOE) for producing groundwater spring potential map (GSPM) in Lorestan Province Iran. To achieve this, out of 6439 existed springs, 4291 spring locations were selected for training phase and the remaining 2147 springs for model evaluation. Next, the thematic layers of 12 effective spring parameters including altitude, plan curvature, slope angle, slope aspect, drainage density, distance from rivers, topographic wetness index, fault density, distance from fault, lithology, soil and land use/land cover were mapped and integrated using the ArcGIS 10.2 software to generate a groundwater prospect map using mentioned approaches. The produced GSPMs were then classified into four distinct groundwater potential zones, namely low, moderate, high and very high classes. The results of the analysis were finally validated using the receiver operating characteristic (ROC) curve technique. The results indicated that out of four models, SI is superior (prediction accuracy of 85.4%) following by FR, GAM and WOE, respectively (prediction accuracy of 83.7, 77 and 76.3%). The result of groundwater spring potential map is helpful as a guide for engineers in water resources management and land use planning in order to select suitable areas to implement development schemes and also government entities. Numéro de notice : A2017-669 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.201 date de publication en ligne : 07/06/2016 En ligne : https://doi.org/10.1080/10106049.2016.1188166 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87144 [article]

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Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin / Bernadette Quinn in Journal of maps, vol 11 n° 3 ([01/07/2015])  

Public [article]  inJournal of maps > vol 11 n° 3 [01/07/2015] . - pp 487 - 495 Titre : Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin Type de document : Article/Communication Auteurs : Bernadette Quinn, Auteur ; Kerry Schiel, Auteur ; Geoffrey Caruso, Auteur Année de publication : 2015 Article en page(s) : pp 487 - 495 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes descripteurs IGN] analyse bivariée [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] Dublin (Irlande ; ville) [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] méthode de Monte-Carlo [Termes descripteurs IGN] pondération Résumé : (auteur) This paper presents a method for determining and mapping suitable locations for development using Multi Criteria Analysis and the Analytical Hierarchy Process and considering uncertainties in the process. The method is applied to the case study of Howth (Dublin), where development suitability is assessed against specific protection and conservation areas as well as ground water vulnerability. Uncertainty is incorporated using a Monte Carlo simulation into the Analytical Hierarchy Process calculations to determine criteria weightings. A map is derived, which includes, for all locations, both site suitability for development and the level of uncertainty attached to this suitability. The map combines a double categorization of suitability and uncertainty. The method allows for increased transparency in decision making regarding site suitability for development, as well as increased confidence in decision making to allow for reduced risk in terms of the potential impact of development. Numéro de notice : A2015-545 Thématique : GEOMATIQUE Nature : Article En ligne : http://www.tandfonline.com/doi/full/10.1080/17445647.2014.978907 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77516 [article]

R et espace : Traitement de l’information géographique / Groupe Element R (2014)    

Public Titre : R et espace : Traitement de l’information géographique Type de document : Guide/Manuel Auteurs : Groupe Element R, Auteur ; Hadrien Commenges, Editeur scientifique ; Laurent Beauguitte, Auteur ; Elodie Buard , Auteur ; Robin Cura, Auteur ; Florent Le Néchet, Auteur ; Marion Le Texier, Auteur ; Hélène Mathian, Auteur ; Sébastien Rey, Auteur Editeur : Framabook Année de publication : 2014 Importance : 250 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] analyse bivariée [Termes descripteurs IGN] analyse factorielle [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] classification [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] géostatistique [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] graphe [Termes descripteurs IGN] objet géographique [Termes descripteurs IGN] R (langage) Note de contenu : 1 - Introduction 2 - Prise en main et manipulation des données 3 - Introduction à la programmation 4 - Analyse univariée 5 - Analyse bivariée 6 - Analyses factorielles 7 - Méthodes de classification 8 - Analyse de graphes 9 - Focus sur la visualisation graphique 10 - Introduction aux objets spatiaux et à la cartographie 11 - Initiation aux statistiques spatiales Numéro de notice : 17169 Thématique : GEOMATIQUE Nature : Manuel de cours nature-HAL : OuvrScient DOI : sans En ligne : http://framabook.org/docs/Respace/RetEspace_final_20140901.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80969

Voir aussi

• R pour les géographes : analyse de données, analyse spatiale et cartographie avec R / Groupe Element R (2013)  

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Documents numériques

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Effect of climatic cycles in Pacific Ocean on mean sea level variations over the Southwest Pacific Ocean and Tasman Sea / Anthony Wiart (2012) 

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Comparison of GIS-based methodologies for the landslide susceptibility assessment / P. Magliulo in Geoinformatica, vol 13 n° 3 (September 2009)

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Mapping the results of geographically weighted regression / J. Mennis in Cartographic journal (the), vol 43 n° 2 (July 2006)

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L'outil statistique en géographie, Tome 2. L'analyse bivariée / Philippe Lahousse (2000)

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Statistique appliquée à la géographie / G. Chemla (1997)

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Hypothesis testing using univariate and bivariate choropleth maps / L.W. Carstensen in American cartographer (the), vol 13 n° 3 (July 1986)

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Bivariate choropleth mapping : the effects of axis scaling / L.W. Carstensen in American cartographer (the), vol 13 n° 1 (April 1986)

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Statistical cartography at the U.S. Bureau of the Census / R.C. Klove in Annuaire international de cartographie, n° 7 (1967)

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