Semi-supervised contrastive learning for remote sensing: identifying ancient urbanization in the south-central Andes-Reference-Cited by-同舟云学术

Semi-supervised contrastive learning for remote sensing: identifying ancient urbanization in the south-central Andes

Published:2023-03-19 Issue:6 Volume:44 Page:1922-1938
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xu Jiachen¹^ORCID,Guo Junlin²,Zimmer-Dauphinee James³,Liu Quan²,Shi Yuxuan¹,Asad Zuhayr²,Wilkes D. Mitchell²,VanValkenburgh Parker⁴,Wernke Steven A.³,Huo Yuankai²^ORCID

Affiliation:

1. School of Engineering, Vanderbilt University, Nashville, USA

2. Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, USA

3. Department of Anthropology, Vanderbilt University, Nashville, USA

4. Department of Anthropology, Brown University, Providence, USA

Funder

DigitalGlobe Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2192879

Reference56 articles.

1. Multispectral and Hyperspectral Technology and Archaeological Applications

2. Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

3. Support vector machine approach for longitudinal dispersion coefficients in natural streams

4. Archaeological Survey in the Mixteca Alta of Oaxaca, Mexico

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