Image Classification Methods to Detect the Growth of Industrial Areas
Jancso, Tamas
Podor, Andrea
Hajnal, Éva
Petőné Csuka, Ildikó
Simon, Gyula
2026-02-11T10:04:25Z
2026-02-11T10:04:25Z
2022
http://hdl.handle.net/20.500.14044/37425
The incorporation of agricultural areas is an increasing problem. During the construction, we can typically observe the expansion of industrial parks, logistics centers or the construction of leisure centers, sports facilities or buildings and halls for other purposes realized as part of state investments. In the article, we try to show the changes in the agricultural area using several image classification methods. The purpose of the presented three types of classification is to compare the values of the calculated areas and to present the possibilities of the applied software.
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pdf
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en
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Image Classification Methods to Detect the Growth of Industrial Areas
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Open access
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Óbudai Egyetem
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2022. November 17.
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Székesfehérvár
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Alba Regia Műszaki Kar
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Óbudai Egyetem
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Műszaki tudományok - agrárműszaki tudományok
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remote sensing
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image classification
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environmental analysis
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gis
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Konferenciaközlemény
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AIS 2022 – 17th International Symposium on Applied Informatics and Related Areas
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local.tempfieldCollections
Könyvrészletek
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6.
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Kiadói változat
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5 p.
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PROCEEDINGS of 17th International Symposium on Applied Informatics and Related Areas