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Change detection work-flow for mapping changes from arable lands to permanent grasslands with advanced boosting methods / Jiří Šandera in Geodetski vestnik, vol 63 n° 3 (September - November 2019)  

Public [article]  inGeodetski vestnik > vol 63 n° 3 (September - November 2019) . - pp 379 - 394 Titre : Change detection work-flow for mapping changes from arable lands to permanent grasslands with advanced boosting methods Type de document : Article/Communication Auteurs : Jiří Šandera, Auteur ; Přemysl Štych, Auteur Année de publication : 2019 Article en page(s) : pp 379 - 394 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] apprentissage automatique [Termes IGN] boosting adapté [Termes IGN] carte d'occupation du sol [Termes IGN] chaîne de traitement [Termes IGN] changement d'occupation du sol [Termes IGN] détection de changement [Termes IGN] image Landsat [Termes IGN] prairie [Termes IGN] terre arable Résumé : (Auteur) The necessity of mapping changes in land cover categories based on satellite imageries is a challenging task especially in terms of arable land and grasslands. The phenological phases of arable lands change quickly while grasslands is more stable. It might be hard to capture these changes regarding the spectral overlap between crops in full growth and grass itself. We have introduced a relatively simple processing workflow with good efficiency and accuracy. Our proposed method utilises the combination of a Multivariate Alteration Change Detection Algorithm and an existing boosting method, such as the AdaBoost algorithm with different weak learners and the most recent one – Extreme Gradient Boosting that is actually a relatively new approach in remote sensing. According to the results, the highest overall accuracy is 89.51 %. The proposed process workflow was tested on Landsat data with 30 m spatial resolution, using open-source software: R and GRASS GIS, Orfeo Toolbox library. Numéro de notice : A2019-501 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292/geodetski-vestnik.2019.03.379-394 En ligne : http://dx.doi.org/10.15292/geodetski-vestnik.2019.03.379-394 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93783 [article]

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