An improved deep learning method for flying object detection and recognition

The demand for detecting and classifying unmanned aerial vehicle (UAV) objects like birds, planes, and drones is increasing in various fields such as the military, surveillance, etc. A distant object appears to be point size; hence, it is difficult to classify the far-way objects in an image. There...

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Veröffentlicht in:	Signal, image and video processing Jg. 18; H. 1; S. 143 - 152
Hauptverfasser:	Aote, Shailendra S., Wankhade, Nisha, Pardhi, Aniket, Misra, Nidhi, Agrawal, Harsh, Potnurwar, Archana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.02.2024 Springer Nature B.V
Schlagworte:	Accuracy Aircraft Algorithms Artificial neural networks Classification Comparative studies Computer Imaging Computer Science Computer vision Datasets Deep learning Drone aircraft Drones Image Processing and Computer Vision Machine learning Multimedia Information Systems Neural networks Object recognition Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Telematics Unmanned aerial vehicles Vision Convolutional neural network (CNN) Unmanned aerial vehicle Long short-term memory (LSTM) Object detection
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
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