Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 79 n° 9Paru le : 01/09/2013 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierAssessing the relationship between ground measurements and object-based image analysis of land cover classes in Pinyon and Juniper Woodlands / April Hulet in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
[article]
Titre : Assessing the relationship between ground measurements and object-based image analysis of land cover classes in Pinyon and Juniper Woodlands Type de document : Article/Communication Auteurs : April Hulet, Auteur ; Bruce A. Roundy, Auteur ; Steven L. Petersen, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 799 - 808 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] arbre (flore)
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] données de terrain
[Termes IGN] image infrarouge
[Termes IGN] Nevada (Etats-Unis)
[Termes IGN] occupation du sol
[Termes IGN] Oregon (Etats-Unis)
[Termes IGN] Pinus (genre)
[Termes IGN] plantation forestière
[Termes IGN] Utah (Etas-Unis)Résumé : (Auteur) Land managers need to rapidly assess vegetation composition and bare ground to effectively evaluate and manage shrub steppe communities that have been encroached by pinyon and juniper trees. We used an object-based image analysis (obia) approach to estimate land cover classes found in pinyon-juniper woodlands, and evaluated the relationship between ground measurements and OBIA land cover measurements. We acquired high-spatial resolution color-infrared imagery for five sites with a Vexcel UltraCamX digital camera in June 2009. We simultaneously collected ground-based cover measurements within 30 m x 33 m subplots. OBIA mean land cover class differences by site ranged from underestimating litter by 3 percent to overestimating live trees by 1 percent when compared to ground-based measurements. Overall accuracy for thematic maps was 84 percent with a Kappa statistic of 0.80. Although OBIA cover estimates varied slightly from ground cover estimates, methods provide land managers with options for prioritizing management practices and enabling monitoring at an operational scale. Numéro de notice : A2013-505 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.9.799 En ligne : https://doi.org/10.14358/PERS.79.9.799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32643
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 9 (September 2013) . - pp 799 - 808[article]A random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
[article]
Titre : A random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points Type de document : Article/Communication Auteurs : Liang Zhou, Auteur ; Alfred Stein, Auteur Année de publication : 2013 Article en page(s) : pp 835 - 845 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] incertitude des données
[Termes IGN] modèle d'incertitude
[Termes IGN] qualité des données
[Termes IGN] semis de points
[Termes IGN] trafic routierRésumé : (Auteur) Traffic islands play a major role in transport studies by affecting traffic behavior safety, air pollution, and transport decision support. Point data obtained by laser scanning enable the determination of their locations. Planimetric errors, vertical errors, and limited point spacing however affect their spatial data quality (SDQ). In this study, we defined uncertainty as the lack of accuracy and analyzed its importance by modeling each traffic island as a random set. The covering functions of the point data and their intermediate locations were determined by point segmentation, followed by interpolation. In this way, traffic islands were delineated from the background with a transition zone. The study showed that point spacing has the largest contribution to the positonal accuracy of a traffic island. The area of the transition zone has a linear relation with the planimetric errors, whereas the influence of the vertical errors on the accuracy decreases with increasing point spacing. Experiments were conducted to investigate the influences of the parameters in an SDQ analysis. The study demonstrated how different sources of uncertainty can be integrated. Results showed the advantages of using random sets for SDQ modelling. We concluded that modelling of traffic islands by random sets provides meaningful information to integrate uncertainties. Numéro de notice : A2013-506 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.9.835 En ligne : https://doi.org/10.14358/PERS.79.9.835 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32644
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 9 (September 2013) . - pp 835 - 845[article]Assessing the performance of linear feature models : An approach to computational inference / Eufenio Y. Arima in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)
[article]
Titre : Assessing the performance of linear feature models : An approach to computational inference Type de document : Article/Communication Auteurs : Eufenio Y. Arima, Auteur ; Robert T. Walker, Auteur ; Dante G. Vergara, Auteur Année de publication : 2013 Article en page(s) : pp 847 - 855 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] inférence statistique
[Termes IGN] modèle de simulation
[Termes IGN] objet géographique linéaire
[Termes IGN] réseau routier
[Termes IGN] test de performanceRésumé : (Auteur) A methodology for judging the performance of simulation models that involve linear features is presented taking as its test case a model that produces logging road networks. The approach combines existing methods of accuracy assessment, based on the so-called epsilon band, with the principle of statistical inference. This requires adapting neutral models from landscape ecology to generate a bootstrapped probability distribution reflecting the probabilistic characteristics of sto-chastic networks. The distribution is then used for inferential hypothesis testing, taking as its "null" hypothesis that a net-work has been produced randomly. The assessment method-ology is used to evaluate the road network simulation model under six different parameterizations. Results are compared to findings obtained by the use of fuzzy similarity metrics. The paper argues that the epsilon band method provides confi-dence that model performance departs significantly from a randomized process, and that conclusions are free of at least one class of spurious results. Numéro de notice : A2013-507 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.79.9.847 En ligne : https://doi.org/10.14358/PERS.79.9.847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32645
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 9 (September 2013) . - pp 847 - 855[article]