Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq

Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq

In this paper, we report the results of our work on automated detection of qanat shafts on the Cold War-era CORONA Satellite Imagery. The increasing quantity of air and space-borne imagery available to archaeologists and the advances in computational science have created an emerging interest in auto...

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Bibliographic Details
Main Authors: Mehrnoush Soroush, Alireza Mehrtash, Emad Khazraee, Jason A. Ur
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
remote sensing
archaeology
qanat
<i>karez</i>
deep learning
convolutional neural networks (cnns)
image segmentation
corona
kurdistan region of iraq (krg)
Online Access:https://www.mdpi.com/2072-4292/12/3/500

Internet

https://www.mdpi.com/2072-4292/12/3/500

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