Spectral-spatial neural network classification of hyperspectral vegetation images

Autor:	V V Podlipnov, N A Firsov, N A Ivliev, S V Mashkov, P A Ishkin, R V Skidanov, A V Nikonorov
Rok vydání:	2023
Předmět:	General Medicine General Chemistry
Zdroj:	IOP Conference Series: Earth and Environmental Science. 1138:012040
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/1138/1/012040
Popis:	The paper presents the results of a study of the method of classification of vegetation types based on hyperspectral survey data. A hyperspectrometer based on the Offner scheme was used as a shooting equipment. The spatial-spectral architecture of a convolutional neural network is used as a classifier. The experiments performed show the effectiveness of the proposed approach for the classification of vegetation types.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6644b0028220fb269e61730bae433d1b https://doi.org/10.1088/1755-1315/1138/1/012040 Zobrazit plný text záznamu