Geo-knowledge-informed Deep Learning for Auto-identification of Supraglacial Lakes on the Greenland Ice Sheet from Satellite Imagery-Reference-Cited by-同舟云学术

Geo-knowledge-informed Deep Learning for Auto-identification of Supraglacial Lakes on the Greenland Ice Sheet from Satellite Imagery

Published:2023-11-13 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
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Author:

Wei Chen¹^ORCID,Gao Song²^ORCID,Zhang Feng¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. University of Wisconsin-Madison, Madison, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589132.3629974

Reference6 articles.

1. A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning

2. Automated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing Data

3. Rapid expansion of Greenland’s low-permeability ice slabs

4. Paul Morin , Claire Porter , Michael Cloutier , Ian Howat , Myoung-Jong Noh , Michael Willis , Brian Bates , Cathleen Willamson , and Kennith Peterman . "ArcticDEM; a publically available, high resolution elevation model of the Arctic". In: Egu general assembly conference abstracts. 2016 , EPSC2016--8396 . Paul Morin, Claire Porter, Michael Cloutier, Ian Howat, Myoung-Jong Noh, Michael Willis, Brian Bates, Cathleen Willamson, and Kennith Peterman. "ArcticDEM; a publically available, high resolution elevation model of the Arctic". In: Egu general assembly conference abstracts. 2016, EPSC2016--8396.

5. Olaf Ronneberger , Philipp Fischer , and Thomas Brox . "U-net : Convolutional networks for biomedical image segmentation ". In : Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015 : 18th International Conference, Munich, Germany, October 5--9, 2015, Proceedings, Part III 18. Springer . 2015, pp. 234 -- 241 . Olaf Ronneberger, Philipp Fischer, and Thomas Brox. "U-net: Convolutional networks for biomedical image segmentation". In: Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference, Munich, Germany, October 5--9, 2015, Proceedings, Part III 18. Springer. 2015, pp. 234--241.