Assessment of herbaceous vegetation classification using orthophotos produced from the image acquired with unmanned aerial systems

Arguably the most popular remote-sensing products are classified images. However, there are no definitive procedures to assess classification accuracy that simultaneously consider resources available and field efforts. The explosive usage of unmanned aerial systems (UAS) in land surveys adds new ch...

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Bibliografske podrobnosti

Principais autores:	Sudeera WICKRAMARATHNA, John GOETZ III, Jon SOUDER, Benjamin PROTZMAN, Brian SHEPARD, Sorin HERBAN, Francisco MAURO, Hailemariam TEMESGEN, Bogdan M. STRIMBU
Format:	Artigo
Jezik:	Inglês
Izdano:	AcademicPres 2023-09-01
Serija:	Notulae Botanicae Horti Agrobotanici Cluj-Napoca
Teme:	image classification Image enhancement maximum likelihood classification reed canary grass Phalaris arundinacea simple random sampling
Online dostop:	https://www.notulaebotanicae.ro/index.php/nbha/article/view/13227
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