Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran

Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran

This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and acc...

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Bibliographic Details
Main Authors: Hadi Yazdi, Shina Sad Berenji, Ferdinand Ludwig, Sajad Moazen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Heritage
Subjects:
historical architecture
remote sensing
deep learning
convolutional neural network (CNNs)
image processing
Yazd
Online Access:https://www.mdpi.com/2571-9408/5/4/159

Internet

https://www.mdpi.com/2571-9408/5/4/159

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