Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

Segmenting aerial images is of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that happen in inhabited areas. This remarkably promotes public safety and traffic management applications. After the wide adoptio...

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Bibliographic Details
Main Author: Benjdira, Bilel (author)
Other Authors: Bazi, Yakoub (author), Koubaa, Anis (author), Ouni, Kais (author)
Format: article
Language:eng
Published: 2019
Subjects:
Convolutional neural networks
Semantic segmentation
Aerial imagery
Domain adaptation
Gener ative adversarial networks
Online Access:http://hdl.handle.net/10400.22/14065
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/14065

Internet

http://hdl.handle.net/10400.22/14065

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