Clutter Classification Using Deep Learning in Multiple Stages

Path loss prediction for wireless communications is highly dependent on the local environment. Propagation models including clutter information have been shown to significantly increase model accuracy. This paper explores the application of deep learning to satellite imagery to identify environmenta...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Dempsey, Ryan, Ethier, Jonathan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Classification Clutter Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Deep learning Image enhancement Prediction models Satellite imagery Wireless communications
Online-Zugang:	Volltext
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