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Agriculture classification using PolSAR data / H. Skriver (2005)

Public Titre : Agriculture classification using PolSAR data Type de document : Article/Communication Auteurs : H. Skriver, Auteur ; J. Dall, Auteur ; Thuy Le Toan, Auteur ; et al., Auteur Editeur : Noordwijk : ESA Publications Année de publication : 2005 Collection : ESA Specialist Panel, ISSN 0379-6566 num. 586 Conférence : POLinSAR 2005 17/01/2005 21/01/2005 Frascati Italie Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] céréales [Termes IGN] classification à base de connaissances [Termes IGN] classification dirigée [Termes IGN] cultures [Termes IGN] données polarimétriques [Termes IGN] image EMISAR [Termes IGN] image radar moirée [Termes IGN] polarimétrie radar [Termes IGN] polarisation Résumé : (Auteur) In this paper a classification scheme is presented, that uses a knowledge-based approach, where the crops are first classified into broad classes, i.e. bare surfaces, cereal crops, root crops, spring crops, winter crops etc. Hereafter, the discrimination between the individual crop types within these broad categories is performed. The discrimination into the broad classes is performed using standard polarimetric parameters such as the backscatter coefficients both at linear and circular polarisations, correlation coefficient and phase difference. The classification into the individual crop types is possible for some of the crop types, whereas it may for instance be very difficult to discriminate between some of the cereal crops. This part of the classification process is not as well established as the first part, and both a supervised approach and a knowledge-based approach may be used. Both POLSAR and PolInSAR data may be included in the classification scheme. The classification approach has been evaluated using data from the Danish EMISAR, and quantitative results based on in-situ information are presented. Numéro de notice : 13686 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64268