Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5

Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5

Due to the advantages of small size, lightweight, and simple operation, the unmanned aerial vehicle (UAV) has been widely used, and it is also becoming increasingly convenient to capture high-resolution aerial images in a variety of environments. Existing target-detection methods for UAV aerial imag...

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Bibliografische gegevens
Hoofdauteurs: Xudong Luo, Yiquan Wu, Feiyue Wang
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-10-01
Reeks:Remote Sensing
Onderwerpen:
unmanned aerial vehicle (UAV) aerial imagery
you only look once (YOLO)
asymmetric convolutions
attention mechanism
K-Means++
non-maximum suppression (NMS)
Online toegang:https://www.mdpi.com/2072-4292/14/19/5063

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https://www.mdpi.com/2072-4292/14/19/5063

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