The identification method of tree species using UV–VIS–IR technology and deep learning methods - Case study – Indepedenta Forest
| Autor: | Adrian Murariu, Dan Munteanu, Gabriel Murariu, Lucian Dinca, Silvius Stanciu, Ciprian Vlad, Mihai Daniel Dragu, Marian Tudor, Alexru Dorosencu |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Deep learning Pattern recognition Sample (statistics) computer.software_genre Expert system Support vector machine Set (abstract data type) Identification (information) Principal component analysis Relevance (information retrieval) Artificial intelligence business computer |
| Zdroj: | 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC). |
| DOI: | 10.1109/icstcc.2018.8540779 |
| Popis: | In this paper we present a comparative analysis between statically methods based on PCA analysis and an expert system built to identify tree species based on their GCFTIR and UV-VIS-IR spectra. We also present a spectroscopic analysis to evaluate the relevance of each type of sample set on which recognition of an unknown sample is based. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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