Land Use and Land Cover Classification using River Formation Dynamics Algorithm with Deep Learning on Remote Sensing Images

Currently, remote sensing images (RSIs) are often exploited in the explanation of urban and rural areas, change recognition, and other domains. As the majority of RSI is high-resolution and contains wide and varied data, proper interpretation of RSIs is most important. Land use and land cover (LULC)...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE access Ročník 12; s. 1
Hlavní autoři:	Aljebreen, Mohammed, Mengash, Hanan Abdullah, Alamgeer, Mohammad, Alotaibi, Saud S., Salama, Ahmed S., Hamza, Manar Ahmed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Classification Classification algorithms Deep learning Environmental monitoring Feature extraction Heuristic algorithms Land cover Land management Land use Land use classification Land use planning Machine learning Metaheuristics Remote sensing Remote sensing images Satellite images
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!