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Auteur J. Connors |
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Range of categorical associations for comparison of maps with mixed pixels / Robert Gilmore Pontius in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)
[article]
Titre : Range of categorical associations for comparison of maps with mixed pixels Type de document : Article/Communication Auteurs : Robert Gilmore Pontius, Auteur ; J. Connors, Auteur Année de publication : 2009 Article en page(s) : pp 963 - 969 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] décomposition du pixel
[Termes IGN] image multi sources
[Termes IGN] Massachusetts (Etats-Unis)
[Termes IGN] matrice
[Termes IGN] segmentation d'image
[Termes IGN] segmentation multi-échelleRésumé : (Auteur) This paper presents a method to compare maps that contain pixels that have partial membership to multiple categories, i.e., mixed or soft classified pixels. The method quantifies ranges for associations among categories based upon possible variations in sub-pixel spatial allocation. The paper derives the mathematical equations for constructing the range of associations based on three types of cross-tabulation matrices, the greatest matrix, the random matrix, and the least matrix. We demonstrate how the analysis can be combined with multiple resolution map comparison to specify the resolution at which clusters exist on a single map or between two maps. The method produces a range that reflects the amount of uncertainty in the categorical associations. We illustrate the procedure with both a simple example and data from the Plum Island Ecosystems study site in Massachusetts, USA. Numéro de notice : A2009-309 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.8.963 En ligne : https://doi.org/10.14358/PERS.75.8.963 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29939
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 8 (August 2009) . - pp 963 - 969[article]