Automated Characterization of Yardangs Using Deep Convolutional Neural Networks

Automated Characterization of Yardangs Using Deep Convolutional Neural Networks

The morphological characteristics of yardangs are the direct evidence that reveals the wind and fluvial erosion for lacustrine sediments in arid areas. These features can be critical indicators in reconstructing local wind directions and environment conditions. Thus, the fast and accurate extraction...

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Bibliographic Details
Main Authors: Bowen Gao, Ninghua Chen, Thomas Blaschke, Chase Q. Wu, Jianyu Chen, Yaochen Xu, Xiaoping Yang, Zhenhong Du
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
aeolian landform
yardang
morphological characteristic
deep learning
Mask R-CNN
Google Earth imagery
Online Access:https://www.mdpi.com/2072-4292/13/4/733

Internet

https://www.mdpi.com/2072-4292/13/4/733

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