Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

The road surface area extraction task is generally carried out via semantic segmentation over remotely-sensed imagery. However, this supervised learning task is often costly as it requires remote sensing images labelled at the pixel level, and the results are not always satisfactory (presence of dis...

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Bibliographic Details
Main Authors: Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sanchez
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
conditional learning
generative adversarial network
generative learning
image inpainting
image post-processing
road extraction
Online Access:https://www.mdpi.com/2220-9964/11/1/43

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https://www.mdpi.com/2220-9964/11/1/43

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