A global object-oriented dynamic network for low-altitude remote sensing object detection

With advancements in drone control technology, low-altitude remote sensing image processing holds significant potential for intelligent, real-time urban management. However, achieving high accuracy with deep learning algorithms remains challenging due to the stringent requirements for low computatio...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 19071 - 20
Hauptverfasser:	Tang, Daoze, Tang, Shuyun, Wang, Yalin, Guan, Shaoyun, Jin, Yining
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 30.05.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166/987 639/705/117 639/705/258 639/705/794 Algorithms Altitude Computer applications Deep learning Drone Humanities and Social Sciences Image processing Images processing Information processing Low-altitude remote sensing multidisciplinary Real-time Remote sensing Science Science (multidisciplinary) Deep learning Images processing Drone Low-altitude remote sensing Real-time
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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