Improving Road Semantic Segmentation Using Generative Adversarial Network

Road network extraction from remotely sensed imagery has become a powerful tool for updating geospatial databases, owing to the success of convolutional neural network (CNN) based deep learning semantic segmentation techniques combined with the high-resolution imagery that modern remote sensing prov...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	GAN road segmentation remote sensing deep learning U-Net
Online Access:	https://ieeexplore.ieee.org/document/9416669/