Algae bloom intensity classification using machine learning methods and UAV hyperspectral data

This paper presents an approach for high spatial resolution hyperspectral image analysis in an applied task of river water condition assessment. The method allows the detection of algal blooms or water pollution by foreign substances. High-resolution hyperspectral images were obtained using a hypers...

Whakaahuatanga katoa

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	I.A. Novikov, A.R. Makarov, V.V. Podlipnov, V.I. Platonov, D.D. Ryskova, O.V. Kalashnikova, R.M. Khabibullin, R.V. Skidanov, S.V. Illarionova, Y.V. Vybornova, A.V. Nikonorov, D.G. Shadrin, T.V. Podladchikova
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Samara National Research University 2025-12-01
Rangatū:	Компьютерная оптика
Ngā marau:	hyperspectrometer spectral analysis hyperspectral images index images
Urunga tuihono:	https://computeroptics.ru/eng/KO/Annot/KO49-6/490613e.html
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Algae bloom intensity classification using machine learning methods and UAV hyperspectral data

Ngā tūemi rite