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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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 8 (August 2009) . - pp 963 - 969 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-échelle Résumé : (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 [article]

A disturbance inventory framework for flexible and reliable landscape monitoring / J. Linke in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 8 (August 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 8 (August 2009) . - pp 981 - 995 Titre : A disturbance inventory framework for flexible and reliable landscape monitoring Type de document : Article/Communication Auteurs : J. Linke, Auteur ; Gregory J. McDermid, Auteur ; D. Laskin, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 981 - 995 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Alberta (Canada) [Termes IGN] analyse de données [Termes IGN] base de données d'occupation du sol [Termes IGN] carte d'occupation du sol [Termes IGN] détection de changement [Termes IGN] forêt [Termes IGN] image Landsat [Termes IGN] image multitemporelle [Termes IGN] occupation du sol [Termes IGN] surveillance Résumé : (Auteur) Remote sensing plays a key role in landscape monitoring, but our handling of these data in a multi-temporal time series is not yet fully developed. Of particular concern is the presence of spatial and thematic errors in independently created maps that distort measures of landscape pattern and constrain the reliability of change analysis. In addition, there is a need to incorporate continuous attributes of cover gradients for flexible map representations that support a variety of applications. In this paper, we present a framework for generating temporally and categorically dynamic land-cover maps that provide such a reliable and adaptable foundation. The centerpiece is a spatio-temporal disturbance-inventory database, created through semi-automated change detection and conditioned with boundary-matching procedures, which can be used to backdate and update both continuous and categorical reference maps. We demonstrate our approach using multi-annual Landsat imagery from a forested region in west-central Alberta, Canada, between the years 1998 and 2005. Copyright ASPRS Numéro de notice : A2009-310 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.75.8.981 En ligne : https://doi.org/10.14358/PERS.75.8.981 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29940 [article]