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Auteur T. Langanke |
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Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes / S. Lang in Geocarto international, vol 24 n° 2 (April - May 2009)
[article]
Titre : Combined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes Type de document : Article/Communication Auteurs : S. Lang, Auteur ; E. Schöpfer, Auteur ; T. Langanke, Auteur Année de publication : 2009 Article en page(s) : pp 99 - 114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse spatiale
[Termes IGN] biotope
[Termes IGN] classification orientée objet
[Termes IGN] détection de changement
[Termes IGN] image infrarouge couleur
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] photo-identification
[Termes IGN] photographie aérienne
[Termes IGN] segmentation d'image
[Termes IGN] système d'information géographique
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) Recent technical advances in remote sensing data capture and spatial resolution lead to a widening gap between increasing data availability on the one hand and insufficient methodology for semi-automated image data processing and interpretation on the other hand. At the interface of GIS and remote sensing, object-based image analysis methodologies are one possible approach to close this gap. With this, methods from either side are integrated to use both the capabilities of information extraction from image data and the power to perform spatial analysis on derived polygon data. However, dealing with image objects from various sources and in different scales implies combining data with inconsistent boundaries. A landscape interpretation support tool (LIST) is introduced which seeks to investigate and quantify spatial relationships among image objects stemming from different sources by using the concept of spatial coincidence. Moreover, considering different categories of object fate, LIST enables a change categorization for each polygon of a time series of classifications. The application of LIST is illustrated by two case-studies, using Landsat TM and ETM as well as CIR aerial photographs: the first showing how the tool is used to perform object quantification and change analysis; the latter demonstrating how superior aggregation capabilities of the human brain can be combined with the fine spatial segmentation and classification. Possible fields of application are identified and limitations of the approach are discussed. Copyright Taylor & Francis Numéro de notice : A2009-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802121093 Date de publication en ligne : 17/03/2009 En ligne : https://doi.org/10.1080/10106040802121093 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29753
in Geocarto international > vol 24 n° 2 (April - May 2009) . - pp 99 - 114[article]Réservation
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