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Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features
Research article (IEEE Transactions on Geoscience and Remote Sensing, 2022) · cited 48× · AI/ML
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features
Summary
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features is a scholarly article[1].
Key Facts
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-glacier-calving-fronts-by-deep-learning-the-benefit-of-multispectral-topographic-and-textural-input-features
MLA“Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-glacier-calving-fronts-by-deep-learning-the-benefit-of-multispectral-topographic-and-textural-input-features.
BibTeX@misc{4ortxyz_extracting-glacier-calving-fronts-by-deep-learning-the-benefit-of-multispectral-topographic-and-textural-input-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-glacier-calving-fronts-by-deep-learning-the-benefit-of-multispectral-topographic-and-textural-input-features}, note = {Accessed: 2026-05-24}}
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