Auto-identification of linear archaeological traces of the Great Wall in northwest China using improved DeepLabv3+  from very high-resolution aerial imagery

Author:

Yang Shu,Luo Lei,Li Qian,Chen Yiyang,Wu Lin,Wang Xinyuan

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference40 articles.

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3. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community;Ball;J. Appl. Remote Sens.,2017

4. Detection of buried archaeological remains with the combined use of satellite multispectral data and UAV data;Calleja;Int. J. Appl. Earth Obs. Geoinf.,2018

5. Convolutional neural networks for archaeological site detection - finding “princely” tombs;Caspari;J. Archaeol. Sci.,2019

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