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Characterizing Ancient Channel of the Yellow River From Spaceborne SAR: Case Study of Chinese Gaofen-3 Satellite

Authors :
Ning Li
Guo Zhishun
Wu Lin
Zhengwei Guo
Jianhui Zhao
Source :
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

The lower reaches of the ancient Yellow River (AYR) migrated very frequently, like a loong swinging its tail on the land of China. As the origin of Chinese civilization, AYR provided natural conditions for the people to thrive. However, the sediment carried by AYR still has a negative impact on local agricultural production. This letter, based on Gaofen-3, extracted scattering characteristics of archeological anomalies, detecting part of AYR during Song and Jin Dynasties, which was confirmed with field investigations. Then, an adaptive irregular convolution kernel U-Net (AICK-U-Net) was proposed to reconstruct the channel of AYR, based on the images obtained by the different polarization decomposition methods in October, and the precision and recall reached 96.21% and 94.45%, respectively. Finally, two decision-level methods were proposed to optimize the reconstruction results, improving the precision and recall to 96.39% and 97.36%, respectively. In summary, Spaceborne synthetic aperture radar (SAR), with the application of polarization decomposition and neural network, provides new insights for detecting archeological anomalies and reconstructing archaeolandscapes.

Details

ISSN :
15580571 and 1545598X
Volume :
19
Database :
OpenAIRE
Journal :
IEEE Geoscience and Remote Sensing Letters
Accession number :
edsair.doi...........1c143abca9f8748d9044d5230ce2a1a3
Full Text :
https://doi.org/10.1109/lgrs.2021.3116693