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Nateghi, Mohammadjavd. (1399). Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3(2), 53-62.
Mohammadjavd Nateghi. "Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3, 2, 1399, 53-62.
Nateghi, Mohammadjavd. (1399). 'Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3(2), pp. 53-62.
Nateghi, Mohammadjavd. Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1399; 3(2): 53-62.

Detection, Recognition and Tracking Cars from UAV Based implementation of MobileNet- Single Shot Detection deep neural network on the embedded system By Using Remote Sensing Techniques

Journal of Radar and Optical Remote Sensing and GIS
دوره 3، شماره 2، شهریور 2020، صفحه 53-62    اصل مقاله (366.06 K)
نوع مقاله: مقاله پژوهشی
نویسنده
Mohammadjavd Nateghi*
MEng of Electronic, Imam Hossein Comprehensive University, Tehran, Iran Kpnateghi.ihu.ac.ir
چکیده
Tracking targets from the ground is difficult due to natural and artificial barriers, and in some cases, such as car detection, is dangerous, therefore, identifying targets using remote sensing is obvious. To achieve the purpose, the desired camera is installed on the unmanned aerial vehicle (UAV). with images processing on captured images from the camera, the system has used can identify the vehicle using aerial images and follow it if it is necessary. An important issue to this matt
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