Research on Improved YOLOv5 Vehicle Target Detection Algorithm in Aerial Images
Aerial photoelectric imaging payloads have become an important means of reconnaissance and surveillance in recent years. However, aerial images are easily affected by external conditions and have unclear edges, which greatly reduces the accuracy of imaging target recognition. This paper proposes the...
| Hoofdauteurs: | , , |
|---|---|
| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
MDPI AG
2024-05-01
|
| Reeks: | Drones |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2504-446X/8/5/202 |