Remote Sensing Imagery for Multi-Stage Vehicle Detection and Classification via YOLOv9 and Deep Learner

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Pubblicato in:	Computers, Materials, & Continua vol. 84, no. 3 (2025), p. 4491-4510
Autore principale:	Mudawi, Naif
Altri autori:	Hanzla, Muhammad, Alazeb, Abdulwahab, Alshehri, Mohammed, Alhasson, Haifa, Alhammadi, Dina, Ahmad, Jalal
Pubblicazione:	Tech Science Press
Soggetti:	Traffic surveillance Feature extraction Background noise Classification Image resolution Neural networks Conditional random fields Unmanned aerial vehicles Remote sensing Aerial photography Calibration Urban planning Weather Discriminant analysis Object recognition Deep learning Machine learning Real time Statistical analysis Cost effectiveness Vehicles
Accesso online:	Citation/Abstract Full Text - PDF
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