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[HTML][HTML] Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values
P Mazurek, W Chlewicki - Sensors, 2024 - mdpi.com
The safety of the airspace could be improved by the use of visual methods for the detection
and tracking of aircraft. However, in the case of the small angular size of airplanes and the …
and tracking of aircraft. However, in the case of the small angular size of airplanes and the …
Extraction of Overhead Transmission Towers from UAV Images
To ensure the integrity of power lines, electrical transmission towers must be monitored.
Monitoring vegetation encroachment, which can lead to power outages, is a significant …
Monitoring vegetation encroachment, which can lead to power outages, is a significant …
Effective airplane detection in high resolution satellite images using YOLOv3 model
S Al Mansoori, A Kunhu… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Airplane detection is an artificial intelligence problem that can be solved either by the
classical machine learning methods or by the cutting-edge deep learning processes …
classical machine learning methods or by the cutting-edge deep learning processes …
[PDF][PDF] Automatic detection of number of aircrafts over satellite data using deep learning
JG Singla, G Jaiswal, R Chaudhary, D Patel - 2024 - eartharxiv.org
: Instance segmentation is a novel technique to automatically detect and count the number of
objects from satellite imagery for various applications using deep learning frameworks such …
objects from satellite imagery for various applications using deep learning frameworks such …