Dense Refinement Residual Network for Road Extraction From Aerial Imagery Data

Dense Refinement Residual Network for Road Extraction From Aerial Imagery Data

Extraction of roads from high-resolution aerial images with a high degree of accuracy is a prerequisite in various applications. In aerial images, road pixels and background pixels are generally in the ratio of ones-to-tens, which implies a class imbalance problem. Existing semantic segmentation arc...

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Bibliographic Details
Main Authors: Karuna Kumari Eerapu, Balraj Ashwath, Shyam Lal, Fabio Dell'Acqua, A. V. Narasimha Dhan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dense convolutions
dense blocks
DRR Net
IOU
loss function
residual connections
Online Access:https://ieeexplore.ieee.org/document/8763955/

Internet

https://ieeexplore.ieee.org/document/8763955/

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