Work

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

Year: 2025

Type: article

Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly employed in traffic surveillance, urban planning, and infrastructure monitoring due to their cost-effectiveness, flexibility, and high-resolution imaging. However, vehicle dete... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.065490

Authors: Naif Al Mudawi, Muhammad Hanzla, Abdulwahab Alazeb, Mohammed Alshehri, Haifa F. Alhasson, Dina Abdulaziz AlHammadi, Ahmad Jalal

Institutions: Princess Nourah bint Abdulrahman University, Qassim University, Korea University, Najran University, Air University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Princess Nourah Bint Abdulrahman University, Najran University

Award: G487178697

OpenAlex ID: W4411216832

FWCI: 7.66

Cites: 20

Cited by: 21

Related to: 10