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Auteur K.Y. Huang |
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A synergic automatic clustering technique (syneract) for multispectral image analysis / K.Y. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)
[article]
Titre : A synergic automatic clustering technique (syneract) for multispectral image analysis Type de document : Article/Communication Auteurs : K.Y. Huang, Auteur Année de publication : 2002 Article en page(s) : pp 33 - 40 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image numérique
[Termes IGN] analyse de groupement
[Termes IGN] classification dirigée
[Termes IGN] classification ISODATA
[Termes IGN] classification non dirigée
[Termes IGN] image multibandeRésumé : (Auteur) The Iterative Self-Organizing Data Analysis Technique (ISODATA) has been widely used in unsupervised and supervised classification. However, ISODATA suffers from several limitations. The user often spends much analyst time on specifying input parameters by trial and error, particularly initial cluster centers. Of more importance, an inapropriate choice of initial clusters may cause poor classification results. ISODATA is computationally intensive because of its iterative process . This study aimed to develop a synergistic automatic clustering technique (SYNERACT) that combined the hierachical descending and ISODATA clustering procedures to avoid those limitations. The two methods were compared using multispectral digitized video images. An inappropriate choice of initial seeds for SODATA was shown to reduce accuracies significantly. In contrast, SYNERACT was capable of determining the suitable locations for the initial clusters automatically from the data, therby avoiding those limitations. Owing to this capability, SYNERACT was not so heavily dependent on the iterative process as was ISODATA, and thus was much faster than ISODATA. SYNERACT also matched ISODATA in accuracy. Accordingly, SYNERACT could serve as an alternative to ISODATA for multispectral image analysis. Numéro de notice : A2002-008 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/january/2002_jan_33-40 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21925
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 1 (January 2002) . - pp 33 - 40[article]