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001-es BibID:	BIBFORM060259
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Testing of algorithms for the identification of asbestos roofing based on hyperspectral data / Szabó Szilárd, Burai Péter, Kovács Zoltán, Szabó György, Kerényi Attila, Fazekas István, Paládi Mónika, Buday Tamás, Szabó Gergely
Dátum:	2014
Megjegyzések:	There are several environmental issues in urban areas that are caused by the unintentional consequences of past activities. One of these issues is the wide application of asbestos cement in roofing materials in the 2nd half of the 1900s. In this study, our goal was to identify different roof types and to determine those with asbestos components using high-ground (1 m) and spectral (126 bands) resolution airborne hyperspectral imagery (AISA Eagle II) and several classification approaches. In addition, we aimed to identify those wavelengths that play a significant role in distinguishing the different roof types. In the image analysis, the SAM,MLC and SVM classification methods were used to evaluate the different types of roofs. These methods resulted in accurate maps of the roof types, and asbestos cement roofs were identified with over 85% accuracy.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban Aisa EAGLE asbestos-cement hyperspectral remote sensing image classification roofs
Megjelenés:	Environmental Engineering and Management Journal. - 143 : 11 (2014), p. 2875-2880. -
További szerzők:	Burai Péter (1977-) (agrármérnök) Kovács Zoltán (1988-) (geográfus) Szabó György (1964-) (geográfus, egyetemi tanár) Kerényi Attila (1943-2023) (geográfus) Fazekas István (1973-) (geográfus) Paládi Mónika (1987-) (geográfus) Buday Tamás (1982-) (geográfus) Szabó Gergely (1975-) (geográfus)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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