A Novel Focal Phi Loss for Power Line Segmentation with Auxiliary Classifier U-Net

A Novel Focal Phi Loss for Power Line Segmentation with Auxiliary Classifier U-Net

The segmentation of power lines (PLs) from aerial images is a crucial task for the safe navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the advances in deep learning-based approaches for PL segmentation, these models are still vulnerable to the class imbalance prese...

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Bibliographic Details
Main Authors: Rabeea Jaffari, Manzoor Ahmed Hashmani, Constantino Carlos Reyes-Aldasoro
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
power lines
semantic segmentation
Matthews correlation coefficient
loss function
data imbalance
Online Access:https://www.mdpi.com/1424-8220/21/8/2803

Internet

https://www.mdpi.com/1424-8220/21/8/2803

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