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Remote sensing image segmentation by combining spectral and texture features / H. Li in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 1 (January 2014)
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Titre : Remote sensing image segmentation by combining spectral and texture features Type de document : Article/Communication Auteurs : H. Li, Auteur Année de publication : 2014 Article en page(s) : pp 16 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse combinatoire (maths)
[Termes IGN] appariement d'histogramme
[Termes IGN] image spectrale
[Termes IGN] segmentation d'image
[Termes IGN] texture d'image
[Termes IGN] valeur radiométriqueRésumé : (Auteur) We present a new method for remote sensing image segmentation, which utilizes both spectral and texture information. Linear filters are used to provide enhanced spatial patterns. For each pixel location, we compute combined spectral and texture features using local spectral histograms, which concatenate local histograms of all input bands. We regard each feature as a linear combination of several representative features, each of which corresponds to a segment. Segmentation is given by estimating combination weights, which indicate segment ownership of pixels. We present segmentation solutions where representative features are either known or unknown. We also show that feature dimensions can be greatly reduced via subspace projection. The scale issue is investigated, and an algorithm is presented to automatically select proper scales, which does not require segmentation at multiple-scale levels. Experimental results demonstrate the promise of the proposed method. Numéro de notice : A2014-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2234755 En ligne : https://doi.org/10.1109/TGRS.2012.2234755 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32939
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 1 tome 1 (January 2014) . - pp 16 - 16[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014011A RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Remote sensing imagery Type de document : Guide/Manuel Auteurs : Florence Tupin, Éditeur scientifique ; Jordi Inglada, Éditeur scientifique ; Jean-Marie Nicolas, Éditeur scientifique Editeur : Londres : ISTE Editions Année de publication : 2014 Autre Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Collection : Digital signal and image processing series Importance : 351 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-84821-508-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] classification bayesienne
[Termes IGN] détection de changement
[Termes IGN] effet atmosphérique
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] radiométrie
[Termes IGN] traitement d'image
[Termes IGN] traitement du signalIndex. décimale : 35.00 Télédétection - généralités Résumé : (Editeur) Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing. It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation. Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics. Note de contenu : PART 1: Systems, sensors and acquisitions
- Systems and constraints
- Image geometry and registration
- The physics of optical remote sensing
- The physics of radar measurement
PART 2: Physics and data processing
- Image processing techniques for remote sensing
- Passive optical data processing
- Models and processing of radar signals
PART 3: Applications, measures, extraction, combination and information fusion
- Analysis of multi-temporal series and change detection
- Elevation measurements
- Displacement measurements
- Data assimilation for the monitoring of continental surfacesNuméro de notice : 22131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif nature-HAL : OuvrScient DOI : 10.1002/9781118899106 Date de publication en ligne : 21/01/2014 En ligne : http://dx.doi.org/10.1002/9781118899106 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41901 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 22131-01 35.00 Livre Centre de documentation Télédétection Disponible 22131-02 DEP-EXM Livre LASTIG Dépôt en unité Exclu du prêt
Titre de série : Remote sensing imagery, ch 9 Titre : Elevation measurements Type de document : Chapitre/Contribution Auteurs : Michel Roux, Auteur ; Olivier de Joinville , Auteur ; Florence Tupin, Auteur ; Jean-Marie Nicolas, Auteur
Editeur : Londres : ISTE Editions Année de publication : 2014 Autre Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Collection : Digital signal and image processing series Importance : pp 223 - 249 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] modèle numérique de surfaceNuméro de notice : H2014-014 Affiliation des auteurs : ENSG+Ext (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1002/9781118899106.ch9 Date de publication en ligne : 21/01/2014 En ligne : https://doi.org/10.1002/9781118899106.ch9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93255 Resolution on the nomenclature of space geodetic reference points and local tie measurements / Sten Bergstrand (nov 2014)
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Titre : Resolution on the nomenclature of space geodetic reference points and local tie measurements Type de document : Article/Communication Auteurs : Sten Bergstrand, Auteur ; Xavier Collilieux , Auteur ; John Dawson, Auteur ; Rüdiger Haas, Auteur ; Jim Long, Auteur ; Erricos C. Pavlis, Auteur ; Jérôme Saunier
, Auteur ; Axel Nothnagel, Auteur
Editeur : [s.l.] : [s.n.] Année de publication : nov 2014 Conférence : REFAG 2014, Reference Frames for Applications in Geosciences (IAG 2014 - Commission 1 symposium) 13/10/2014 17/10/2014 Kirchberg Grand Duché du Luxembourg Proceedings Springer Importance : 4 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] point de liaison (géodésie)
[Termes IGN] point de repère
[Termes IGN] terminologieRésumé : (auteur) We establish a specific but general terminology in order to clarify discussions on topics related to local tie measurements. The terminology meets the requirements of an observing system that encompasses existing International Earth Rotation and Reference Systems Service (IERS) techniques as well as other observation techniques of the Global Geodetic Observing System (GGOS). Numéro de notice : C2014-031 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.iers.org/SharedDocs/Publikationen/EN/IERS/WorkingGroups/SiteSurvey/B [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83276 Documents numériques
en open access
Resolution on the nomenclature ... - pdf auteurAdobe Acrobat PDFRestoration of information obscured by mountainous shadows through Landsat TM/ETM+ images without the use of DEM data : A new method / Yuan Zhou in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 1 (January 2014)
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Titre : Restoration of information obscured by mountainous shadows through Landsat TM/ETM+ images without the use of DEM data : A new method Type de document : Article/Communication Auteurs : Yuan Zhou, Auteur ; Jin Chen, Auteur ; Qinghua Guo, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 313 - 328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] montagne
[Termes IGN] ombre
[Termes IGN] pixel
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] restauration d'image
[Termes IGN] valeur radiométriqueRésumé : (Auteur) Shadows in remotely sensed imagery occur when objects totally or partially occlude direct light from a source of illumination, generating great difficulty in land cover interpretation and classification because of the loss of spectral information of shaded pixels. In a mountainous environment with rough terrain, shadows are especially pronounced due to the differentiation of direct illumination between sunny and shady slopes. Topographic correction methods, which are widely used to adjust for differences in solar incidence angles, can partly alleviate the impacts of shadows. However, there are two limitations: one is that the contemporary topographic corrections have little effect on areas that have very low incidence angles and areas that are completely without direct solar illumination (cast shadow); another is that their effectiveness is restricted by the data quality and completeness, spatial resolution, and elevation accuracy of the Digital Elevation Model (DEM) data, which is not currently available in all parts of the world. Thus, noise and errors may be introduced in topographic correction during resampling and geometric registration of the target image. This paper proposes a new approach to restore the radiometric information of mountainous cast shadows using a spectral processing technique called “continuum removal” (CR) without the aid of DEM. The CR-based approach makes full use of the spectral information derived from both the shaded pixels and their neighboring nonshaded pixels of the same land cover type. Several Landsat TM images were used to assess the performance of the proposed method. Results indicated that the proposed method can effectively restore the spectral values of shaded pixels more accurately than the ATCOR_3 correction method, especially for very low incidence angle areas and cast shadows. By comparing data values of shaded pixels with nonshaded pixels (pure reference pixels) of their same class, images processed by the proposed method had the lowest average root mean square error (RMSE) between them in visible, NIR and SWIR bands, followed by the ATCOR_3 correction method and the original image. In addition, the proposed method achieved the best classification accuracy, higher than those from the original test image and the ATCOR_3 corrected image generated using 90 m or 30 m spatial resolution DEM. Therefore, the Continuum Removal method is a better alternative for restoring objects obscured by mountainous shadow when adequate DEM data are unavailable and the quality of DEM cannot satisfy the requirements of topographic correction algorithms. Numéro de notice : A2014-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2239651 En ligne : https://doi.org/10.1109/TGRS.2013.2239651 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32942
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 1 tome 1 (January 2014) . - pp 313 - 328[article]Réservation
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