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Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery / B. Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 1 (January 2013) . - pp 162 - 173 Titre : Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery Type de document : Article/Communication Auteurs : B. Luo, Auteur ; C. Yang, Auteur ; Jocelyn Chanussot, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 162 - 173 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse des mélanges spectraux [Termes IGN] classification non dirigée [Termes IGN] image hyperspectrale [Termes IGN] image multitemporelle [Termes IGN] rendement agricole [Termes IGN] sorgho (céréale) Résumé : (Auteur) Hyperspectral imagery, which contains hundreds of spectral bands, has the potential to better describe the biological and chemical attributes on the plants than multispectral imagery and has been evaluated in this paper for the purpose of crop yield estimation. The spectrum of each pixel in a hyperspectral image is considered as a linear combinations of the spectra of the vegetation and the bare soil. Recently developed linear unmixing approaches are evaluated in this paper, which automatically extracts the spectra of the vegetation and bare soil from the images. The vegetation abundances are then computed based on the extracted spectra. In order to reduce the influences of this uncertainty and obtain a robust estimation results, the vegetation abundances extracted on two different dates on the same fields are then combined. The experiments are carried on the multidate hyperspectral images taken from two grain sorghum fields. The results show that the correlation coefficients between the vegetation abundances obtained by unsupervised linear unmixing approaches are as good as the results obtained by supervised methods, where the spectra of the vegetation and bare soil are measured in the laboratory. In addition, the combination of vegetation abundances extracted on different dates can improve the correlations (from 0.6 to 0.7). Numéro de notice : A2013-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2198826 Date de publication en ligne : 19/06/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2198826 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32150 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013011A	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Applying six classifiers to airborne hyperspectral imagery for detecting giant reed / C. Yang in Geocarto international, vol 27 n° 5 (August 2012)  

Public [article]  inGeocarto international > vol 27 n° 5 (August 2012) . - pp 413 - 424 Titre : Applying six classifiers to airborne hyperspectral imagery for detecting giant reed Type de document : Article/Communication Auteurs : C. Yang, Auteur ; J. Goolsby, Auteur ; James H. Everitt, Auteur ; Q. Du, Auteur Année de publication : 2012 Article en page(s) : pp 413 - 424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classificateur [Termes IGN] classification barycentrique [Termes IGN] classification par la distance de Mahalanobis [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] classification Spectral angle mapper [Termes IGN] espèce exotique envahissante [Termes IGN] Etats-Unis [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] macrophyte [Termes IGN] Mexique [Termes IGN] Rio Grande (fleuve) Résumé : (Auteur) This study evaluated and compared six image classifiers, including minimum distance (MD), Mahalanobis distance (MAHD), maximum likelihood (ML), spectral angle mapper (SAM), mixture tuned matched filtering (MTMF) and support vector machine (SVM), for detecting and mapping giant reed (Arundo donax L.), an invasive weed that presents a severe threat to agroecosystems throughout the southern US and northern Mexico. Airborne hyperspectral imagery was collected from a giant reed-infested site along the US-Mexican portion of the Rio Grande in 2009 and 2010. The imagery was transformed with minimum noise fraction (MFN) and the six classifiers were applied to the 30-band MNF imagery for each year. Accuracy assessment showed that SVM and ML generally performed better than the other four classifiers for overall classification and for distinguishing giant reed in both years. These results indicate that airborne hyperspectral imagery in conjunction with SVM and ML classification techniques is effective for detecting giant reed. Numéro de notice : A2012-371 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.643321 Date de publication en ligne : 04/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.643321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31817 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2012051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An active crawler for discovering geospatial Web services and their distribution pattern : A case study of OGC Web Map Service / W. Li 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 1127 - 1147 Titre : An active crawler for discovering geospatial Web services and their distribution pattern : A case study of OGC Web Map Service Type de document : Article/Communication Auteurs : W. Li, Auteur ; C. Yang, Auteur Année de publication : 2010 Article en page(s) : pp 1127 - 1147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] service web géographique [Termes IGN] Web Map Service Résumé : (Auteur) The increased popularity of standards for geospatial interoperability has led to an increasing number of geospatial Web services (GWSs), such as Web Map Services (WMSs), becoming publicly available on the Internet. However, finding the services in a quick and precise fashion is still a challenge. Traditional methods collect the services through centralized registries, where services can be manually registered. But the metadata of the registered services cannot be updated timely. This paper addresses the above challenges by developing an effective crawler to discover and update the services in (1) proposing an accumulated term frequency (ATF)-based conditional probability model for prioritized crawling, (2) utilizing concurrent multi-threading technique, and (3) adopting an automatic mechanism to update the metadata of identified services. Experiments show that the proposed crawler achieves good performance in both crawling efficiency and results' coverage/liveliness. In addition, an interesting finding regarding the distribution pattern of WMSs is discussed. We expect this research to contribute to automatic GWS discovery over the large-scale and dynamic World Wide Web and the promotion of operational interoperable distributed geospatial services. Numéro de notice : A2010-323 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903514172 En ligne : https://doi.org/10.1080/13658810903514172 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30517 [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

Mapping an annual weed with colour-infared aerial photography and image analysis / James H. Everitt in Geocarto international, vol 25 n° 1 (February 2010)  

Public [article]  inGeocarto international > vol 25 n° 1 (February 2010) . - pp 45 - 52 Titre : Mapping an annual weed with colour-infared aerial photography and image analysis Type de document : Article/Communication Auteurs : James H. Everitt, Auteur ; C. Yang, Auteur ; M.R. Davis, Auteur Année de publication : 2010 Article en page(s) : pp 45 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse d'image numérique [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] image numérisée [Termes IGN] parcours [Termes IGN] photographie aérienne [Termes IGN] photographie en couleur [Termes IGN] photographie infrarouge [Termes IGN] surveillance de la végétation [Termes IGN] Texas (Etats-Unis) Résumé : (Auteur) Silverleaf sunflower (Helianthus argophyllus, Torr and Gray) is an annual weed found on rangelands in south and southeast Texas. Colour-infrared aerial photography and computer image analysis techniques were evaluated for detecting and mapping silverleaf sunflower infestations on a south Texas rangeland area. Supervised and unsupervised image analysis classification techniques were used to classify photographs from two study sites. Supervised classification of the two photographs showed that silverleaf sunflower had mean producer's and user's accuracies of 95.2% and 91.3%, respectively. Unsupervised classification of the two photographs had mean producer's and user's accuracies for silverleaf sunflower of 65.7% and 80.1%, respectively. These results indicate that the supervised technique is superior to the unsupervised technique for mapping silverleaf sunflower infestations using colour-infrared aerial photos. Numéro de notice : A2010-053 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802677037 Date de publication en ligne : 31/03/2009 En ligne : https://doi.org/10.1080/10106040802677037 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30249 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2010011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

vol 23 n° 5 - may 2009 - Distributed geographic information processing research (Bulletin de International journal of geographical information science IJGIS) / C. Yang

Public [n° ou bulletin]  est un bulletin de International journal of geographical information science IJGIS (1997 - 2014)   Titre : vol 23 n° 5 - may 2009 - Distributed geographic information processing research Type de document : Périodique Auteurs : C. Yang, Éditeur scientifique ; R. Raskin, Éditeur scientifique Année de publication : 2009 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] diffusion de données [Termes IGN] implémentation (informatique) [Termes IGN] information géographique [Termes IGN] internet [Termes IGN] interopérabilité Numéro de notice : 079-0903 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9886 [n° ou bulletin]

Contient

• Service chaining architectures for applications implementing distributed geographic information processing / Anders Friis-Christensen in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  
• Use of grid computing modeling virtual geospatial products / A. Chen in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  
• Developing a grid-enabled spatial Web portal for Internet GIServices and geospatial cyberinfrastructure / T. Zhang in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  
• TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience / Shaowen Wang in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  
• Interoperability of functions in environmental models: a case study in hydrological modeling / S. Hu in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)  

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-09032	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)  

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Evaluating airborne hyperspectral imagery for rangeland assessment in south Texas / James H. Everitt in Geocarto international, vol 19 n° 3 (September - November 2004)  

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A CCD camera-based hyperspectral imaging system for stationary and airborne applications / C. Yang in Geocarto international, vol 18 n° 2 (June - August 2003)  

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Relationship between plant spectral reflectances and their image tonal responses on aerial photographs / D.E. Escobar in Geocarto international, vol 17 n° 2 (June - August 2002)  

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Combination of digital elevation models with Spot-1 HRV multispectral imagery for reflectance factor mapping / C. Yang in Remote sensing of environment, vol 32 n° 1 (01/04/1990)  

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