Research on lithology identification based on multi-sensor hybrid domain information fusion and support vector machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00795-7.pdf
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5. Channel attention-based static-dynamic graph convolutional network for lithology identification with scarce labels;Geoenergy Science and Engineering;2023-04
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