Investigation of the Use of Map Images for Stochastic Path Loss Estimation Model

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  • 機械学習を用いた電波伝搬推定における地図画像からの特徴抽出手法

Abstract

In recent years, many path loss estimation models using machine learning have been proposed, but in many cases, high generalization performance has not been achieved. In this paper, we propose a method of feature extraction from images using the Hough transform for path loss estimation to create highly accurate models. By comparing the performance of this method and the conventional method using CNN, we consider effective feature extraction methods.

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