Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks

Volume: 410, Pages: 105790 - 105790
Published: Dec 1, 2020
Abstract
Petrographic analysis based on microfacies identification in thin sections is widely used in sedimentary environment interpretation and paleoecological reconstruction. Fossil recognition from microfacies is an essential procedure for petrographers to complete this task. Distinguishing the morphological and microstructural diversity of skeletal fragments requires extensive prior knowledge of fossil morphotypes in microfacies and long training...
Paper Details
Title
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
Published Date
Dec 1, 2020
Volume
410
Pages
105790 - 105790
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