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)...

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Veröffentlicht in:	IEEE access Jg. 12; S. 1
Hauptverfasser:	Aljebreen, Mohammed, Mengash, Hanan Abdullah, Alamgeer, Mohammad, Alotaibi, Saud S., Salama, Ahmed S., Hamza, Manar Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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