Automated Detection of Beddings From Borehole Images: A New Improvement and First Comparative Study

Automatic bedding extraction from borehole images of shale beddings and cross beddings is essential for reducing labor-intensive manual tasks. Three main types of algorithms, including Autodip, random Hough transform (RHT), and pairing algorithm-based detection (PABD), have been proposed in the past...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 62; s. 1 - 16
Hlavní autori:	Liu, Jiaxiu, Wu, Heng, Nian, Tao, Xu, Liang Wei, Zhang, Yue, Du, Wei, Wu, Hao, Chang, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Adaptability Algorithms Automatic bedding extraction Bedding borehole geophysics Boreholes Comparative analysis Comparative studies Detection Efficiency Feature extraction Genetic algorithms Heuristic algorithms Hough transformation Image processing image processing algorithms Image quality Industrial applications Labour Periodic structures Sedimentary rocks Shale Shales Stability Statistics Stress Tensors Three-dimensional displays Transforms
ISSN:	0196-2892, 1558-0644
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