Détail de l'auteur
Auteur M. Pepe |
Documents disponibles écrits par cet auteur (4)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
![Tris disponibles](./images/orderby_az.gif)
Impact of vertical deflection on direct georeferencing of airborne images / M. Pepe in Survey review, vol 47 n° 340 (January 2015)
![]()
[article]
Titre : Impact of vertical deflection on direct georeferencing of airborne images Type de document : Article/Communication Auteurs : M. Pepe, Auteur ; G. Prezioso, Auteur ; Raffaele Santamaria, Auteur Année de publication : 2015 Article en page(s) : pp 71 - 76 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] distorsion d'image
[Termes IGN] erreur systématique
[Termes IGN] géoréférencement direct
[Termes IGN] verticaleRésumé : (auteur) This paper is aimed at analysing the influence of the vertical deflection (DOV) in direct georeferencing (DG) of image data from an aerial digital frame camera. Without considering the value of the DOV, a systematic error is involved in the determination of the point position. This investigation has been carried out considering several values of the vertical deviation and, for each of them, the vertical and horizontal error obtained by varying the FOV (Field of View) over the altitude has been analysed. Numéro de notice : A2015-961 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270614Y.0000000087 En ligne : https://doi.org/10.1179/1752270614Y.0000000087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79949
in Survey review > vol 47 n° 340 (January 2015) . - pp 71 - 76[article]Snow cover monitoring in Alpine regions using ENVISAT optical data / M. Pepe in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)
![]()
[article]
Titre : Snow cover monitoring in Alpine regions using ENVISAT optical data Type de document : Article/Communication Auteurs : M. Pepe, Auteur ; P.A. Brivio, Auteur ; A. Rampini, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 4661 - 4667 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alpes
[Termes IGN] Aoste (val d')
[Termes IGN] carte thématique
[Termes IGN] classification floue
[Termes IGN] détection des nuages
[Termes IGN] image Envisat-AATSR
[Termes IGN] image Envisat-MERIS
[Termes IGN] image optique
[Termes IGN] Lombardie
[Termes IGN] manteau neigeux
[Termes IGN] nébulosité
[Termes IGN] Piémont (Italie)
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) The ENVISAT mission with a suite of high performance sensors offers some opportunities for mapping snow cover at regional and catchment scales. The spatial resolution of the Medium Resolution Imaging Spectrometer Instrument (MERIS) data and the spectral characteristics of the Advanced Along Track Scanning Radiometer (AATSR) data are suitable for these purposes. A new approach has been developed for the generation of snow cover products in Alpine regions, based on the combined use of ENVISAT optical data and topographic information. The Alpine region is selected as a test area to demonstrate the potential and the limitations of the novel approach. In particular, attention is focused on three regions of northern Italy (Valle d'Aosta, Piemonte, Lombardia). The first results obtained by the application of this new method to Earth Observation data will be presented and analysed. Numéro de notice : A2005-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500206635 En ligne : https://doi.org/10.1080/01431160500206635 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27603
in International Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4661 - 4667[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05211 RAB Revue Centre de documentation En réserve L003 Disponible A cognitive pyramid for contextual classification of remote sensing images / E. Binaghi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)
![]()
[article]
Titre : A cognitive pyramid for contextual classification of remote sensing images Type de document : Article/Communication Auteurs : E. Binaghi, Auteur ; I. Gallo, Auteur ; M. Pepe, Auteur Année de publication : 2003 Article en page(s) : pp 2906 - 2922 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification contextuelle
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal
[Termes IGN] extraction automatique
[Termes IGN] image aérienne
[Termes IGN] image panchromatique
[Termes IGN] image satellite
[Termes IGN] Perceptron multicouche
[Termes IGN] reconnaissance d'objets
[Termes IGN] résolution multipleRésumé : (Auteur) Many cases of remote sensing classification present complicated patterns that cannot he identified on the basis of spectral data alone, but require contextual methods that base class discrimination on the spatial relationships between the individual pixel and local and global configurations of neighboring pixels. However, the use of contextual classification is still limited by critical issues, such as complexity and problem dependency. We propose here a contextual classification strategy for object recognition in remote sensing images in an attempt to solve recognition tasks operatively. The salient characteristics of the strategy are the definition of a multiresolution feature extraction procedure exploiting human perception and the use of soft neural classification based on the multilayer perceptron model. Three experiments were conducted to evaluate the performance of the methodology, one in an easily controlled domain using synthetic images, the other two in real domains involving builtup pattern recognition in panchromatic aerial photographs and high-resolution satellite images. Numéro de notice : A2003-385 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815409 En ligne : https://doi.org/10.1109/TGRS.2003.815409 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26465
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 12 (December 2003) . - pp 2906 - 2922[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-03121 RAB Revue Centre de documentation En réserve L003 Disponible A neural adaptive model for feature extraction and recognition in high resolution remote sensing imagery / E. Binaghi in International Journal of Remote Sensing IJRS, vol 24 n° 20 (October 2003)
![]()
[article]
Titre : A neural adaptive model for feature extraction and recognition in high resolution remote sensing imagery Type de document : Article/Communication Auteurs : E. Binaghi, Auteur ; I. Gallo, Auteur ; M. Pepe, Auteur Année de publication : 2003 Article en page(s) : pp 3947 - 3959 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de formes
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] filtrage numérique d'image
[Termes IGN] image à haute résolution
[Termes IGN] Perceptron multicouche
[Termes IGN] reconnaissance de formes
[Termes IGN] système expert
[Termes IGN] variation d'échelleRésumé : (Auteur) Contextual classification methods, which require the extraction of complex spatial information over a range of scales, from fine details in local areas to large features that extend across the image, are necessary in many remote sensing image classification studies. This work presents a supervised adaptive object recognition model which integrates scale-space filtering techniques for feature extraction within a Multilayer Perceptron neural network and the back-propagation learning task of the search of the most adequate filter parameters. The experimental evaluation of the method has been conducted in an easily controlled domain using synthetic imagery, and in the real domain coping with object recognition in high-resolution remote sensing imagery. To investigate whether the strategy can be considered an alternative to conventional procedures the results were compared with those obtained by a well known contextual classification scheme. Numéro de notice : A2003-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000103808 En ligne : https://doi.org/10.1080/0143116031000103808 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22580
in International Journal of Remote Sensing IJRS > vol 24 n° 20 (October 2003) . - pp 3947 - 3959[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03201 RAB Revue Centre de documentation En réserve L003 Exclu du prêt