{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-JZSOA5MR/d8716f0e-f2c0-468a-86a7-9a5637a3ad0a/PDF","dcterms:extent":"2640 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-JZSOA5MR/41fa04b4-dd49-4751-9e74-8cc5689de7d1/TEXT","dcterms:extent":"40 KB"}],"edm:TimeSpan":{"@rdf:about":"1973-2025","edm:begin":{"@xml:lang":"en","#text":"1973"},"edm:end":{"@xml:lang":"en","#text":"2025"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-JZSOA5MR","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:spr-KHWREVIC"},{"@xml:lang":"sl","#text":"Geodetski vestnik"}],"dcterms:issued":"2022","dc:creator":"Matci, Dilek Kucuk","dc:format":[{"@xml:lang":"sl","#text":"številka:3"},{"@xml:lang":"sl","#text":"letnik:66"},{"@xml:lang":"sl","#text":"str. 387-402"}],"dc:identifier":["ISSN:0351-0271","DOI:10.15292/geodetski-vestnik.2022.03.387-402","COBISSID_HOST:127229443","URN:URN:NBN:SI:doc-JZSOA5MR"],"dc:language":"en","dc:publisher":{"@xml:lang":"sl","#text":"Zveza geodetov Slovenije"},"dc:subject":[{"@xml:lang":"en","#text":"corine data"},{"@xml:lang":"sl","#text":"daljinsko zaznavanje"},{"@xml:lang":"en","#text":"image processing"},{"@xml:lang":"sl","#text":"obdelava slik"},{"@xml:lang":"sl","#text":"podatki Corine"},{"@xml:lang":"sl","#text":"reka"},{"@xml:lang":"en","#text":"remote sensing"},{"@xml:lang":"en","#text":"river"},{"@xml:lang":"sl","#text":"vodno telo"},{"@xml:lang":"en","#text":"water body"}],"dcterms:temporal":{"@rdf:resource":"1973-2025"},"dc:title":{"@xml:lang":"sl","#text":"Automatic delineation of water bodies using corine data from remotely sensed images| Samodejna razmejitev vodnih teles z uporabo podatkov corine iz daljinsko zaznanih slik|"},"dc:description":[{"@xml:lang":"sl","#text":"Vodni viri so ključnega pomena za obstoj življenja, zaradi česar je pomembno, da jih kartiramo. Z uspešno analizo daljinsko zaznanih slik lahko pridobimo zanesljive informacije za raziskave vode, vendar je postopek zapleten in poskrbeti moramo, da na ustvarjene karte ne vplivajo sence, oblaki ali drugi šumi. Poleg tega je treba uspešno preslikati vse vrste voda na različnih geografskih območjih. Pomembno je tudi, da je uporabljena metoda praktična, da lahko znanstveniki, ki niso slikovni analitiki, uporabljajo širok nabor podatkov, ki jih zagotavljajo satelitske slike. V prispevku je predlagan nov algoritem za ekstrakcijo vodnega telesa iz posnetkov Landsat. Pri tej metodi se podatki Corine uporabljajo kot pomožni podatki za samodejno ustvarjanje učnih podatkov. Za testiranje predlagane metode se uporabljajo štiri študijska področja z različnimi značilnostmi iz različnih delov sveta. Dobljene rezultate primerjamo z drugimi samodejnimi metodami razvrščanja"},{"@xml:lang":"sl","#text":"Water resources is crucial for the continuity of life. Therefore, mapping water resources is required. Successful analysis of remotely sensed images can provide reliable information for water researches. However, it is very complex process to ensure that the maps created are not affected by shadows, cloud or other noise. In addition, it is necessary to successfully map all water types in various geographies. It is important that the method used is practical so that scientists who are not image analysts can use the large data pool provided by satellite images. In this paper, a novel algorithm for water body extraction from Landsat imagery is proposed. In this method, Corine data are used as auxiliary data to automatically generate training data. Four study areas with different characteristics, from different parts of the world, are used to test the proposed method. The results obtained are compared with other automatic classification methods"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-JZSOA5MR","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-JZSOA5MR"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-JZSOA5MR/d8716f0e-f2c0-468a-86a7-9a5637a3ad0a/PDF"},"edm:rights":{"@rdf:resource":"http://creativecommons.org/licenses/by-nc/4.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Zveza geodetov Slovenije"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-JZSOA5MR/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-JZSOA5MR"}}}}