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Auteur José L. Silvan-Cardenas |
Documents disponibles écrits par cet auteur (3)
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Evolutionary approach for detection of buried remains using hyperspectral images / Leon Dozal in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 7 (juillet 2018)
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Titre : Evolutionary approach for detection of buried remains using hyperspectral images Type de document : Article/Communication Auteurs : Leon Dozal, Auteur ; José L. Silvan-Cardenas, Auteur ; Daniela Moctezuma, Auteur ; Oscar S. Siordia, Auteur ; Enrique Naredo, Auteur Année de publication : 2018 Article en page(s) : pp 435 - 450 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] image hyperspectrale
[Termes IGN] Mexique
[Termes IGN] précision de la classification
[Termes IGN] teneur en eau de la végétation
[Termes IGN] tombeRésumé : (Auteur) Hyperspectral imaging has been successfully utilized to locate clandestine graves. This study applied a Genetic Programming technique called Brain Programming (BP) for automating the design of Hyperspectral Visual Attention Models (H-VAM.), which is proposed as a new method for the detection of buried remains. Four graves were simulated and monitored during six months by taking in situ spectral measurements of the ground. Two experiments were implemented using Kappa and weighted Kappa coefficients as classification accuracy measures for guiding the BP search of the best H-VAM. Experimental results demonstrate that the proposed BP method improves classification accuracy compared to a previous approach. A better detection performance was observed for the image acquired after three months from burial. Moreover, results suggest that the use of spectral bands that respond to vegetation and water content of the plants and provide evidence that the number of buried bodies plays a crucial role on a successful detection. Numéro de notice : A2018-359 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.7.435 Date de publication en ligne : 01/07/2018 En ligne : https://doi.org/10.14358/PERS.84.7.435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90599
in Photogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 7 (juillet 2018) . - pp 435 - 450[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 105-2018071 RAB Revue Centre de documentation En réserve L003 Disponible Representing geographical objects with scale-induced indeterminate boundaries: a neural network-based data model / José L. Silvan-Cardenas in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)
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Titre : Representing geographical objects with scale-induced indeterminate boundaries: a neural network-based data model Type de document : Article/Communication Auteurs : José L. Silvan-Cardenas, Auteur ; L. Wang, Auteur ; F.B. Zhan, Auteur Année de publication : 2009 Article en page(s) : pp 295 - 318 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] limite indéterminée
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] objet géographique
[Termes IGN] réseau neuronal artificiel
[Termes IGN] sous ensemble flouRésumé : (Auteur) The degree of uncertainty of many geographical objects has long been known to be in intimate relation with the scale of its observation and representation. Yet, the explicit consideration of scaling operations when modeling uncertainty is rarely found. In this study, a neural network-based data model was investigated for representing geographical objects with scale-induced indeterminate boundaries. Two types of neural units, combined with two types of activation function, comprise the processing core of the model, where the activation function can model either hard or soft transition zones. The construction of complex fuzzy regions, as well as lines and points, is discussed and illustrated with examples. It is shown how the level of detail that is apparent in the boundary at a given scale can be controlled through the degree of smoothness of each activation function. Several issues about the practical implementation of the model are discussed and indications on how to perform complex overlay operations of fuzzy maps provided. The model was illustrated through an example of representing multi-resolution, sub-pixel maps that are typically derived from remote sensing techniques. Copyright Taylor & Francis Numéro de notice : A2009-152 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810801932021 En ligne : https://doi.org/10.1080/13658810801932021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29782
in International journal of geographical information science IJGIS > vol 23 n°3-4 (march - april 2009) . - pp 295 - 318[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09021 RAB Revue Centre de documentation En réserve L003 Disponible 079-09022 RAB Revue Centre de documentation En réserve L003 Disponible A multi-resolution approach for filtering LiDAR altimetry data / José L. Silvan-Cardenas in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 1 (October 2006)
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Titre : A multi-resolution approach for filtering LiDAR altimetry data Type de document : Article/Communication Auteurs : José L. Silvan-Cardenas, Auteur ; L. Wang, Auteur Année de publication : 2006 Article en page(s) : pp 11 - 22 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] convolution (signal)
[Termes IGN] données altimétriques
[Termes IGN] données lidar
[Termes IGN] filtrage du signal
[Termes IGN] gradient de pente
[Termes IGN] lissage de données
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) Discrimination of above-ground objects from terrain has proven to be surprisingly difficult to automate in computers, especially for large areas of varied terrain characteristics. Several methods have been developed for filtering the LiDAR data, of which three approaches are more prevalent: linear prediction, slope based and morphological filtering. A common ground to all these approaches is that the range of scales at which feature variations exist tends to be smaller than the range of scales at which terrain variations exist. In this paper, a model-based approach is described in which multiscale gradient of the surface variation is computed and used to adaptively erode the gridded LiDAR data within a multi-resolution, analysis–synthesis framework, namely the multiscale Hermite transform (MHT). The method was tested over nineteen datasets, including urban and forest areas. An average coefficient of agreement was computed over all datasets and compared with that obtained from other methods. Results showed that the proposed method was within the top three among nine methods tested. Copyright ISPRS Numéro de notice : A2006-438 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.06.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.06.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28162
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 1 (October 2006) . - pp 11 - 22[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-06071 SL Revue Centre de documentation Revues en salle Disponible