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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Vydáno v:	Signal, image and video processing Ročník 18; číslo 1; s. 143 - 152
Hlavní autoři:	Aote, Shailendra S., Wankhade, Nisha, Pardhi, Aniket, Misra, Nidhi, Agrawal, Harsh, Potnurwar, Archana
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.02.2024 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
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