Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

Due to the limitations of small targets in remote sensing images such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accuracy of detection results, we develop an improved algorithm base...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 17; S. 1 - 15
Hauptverfasser:	Yi, Hao, Liu, Bo, Zhao, Bin, Liu, Enhai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Ambient noise Attention mechanism Background noise Deep learning Detection Detection algorithms Feature extraction Feature maps Modules Object recognition Optical imaging Optical sensors Parameter modification Real-time systems Remote sensing Target detection Transformers Vision transformer YOLOv8
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!