Scanline intersection similarity: A similarity metric for joint trace maps

Although various automatic joint trace survey methods have been proposed, it has been difficult to evaluate their accuracy. This difficulty lies in the lack of comprehensive metrics for expressing the similarity between the automatically derived trace maps and those derived manually. In this study,...

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Veröffentlicht in:	Computers & geosciences Jg. 175; S. 105358
Hauptverfasser:	Kim, Jineon, Lee, Yong-Ki, Choi, Chae-Soon, Fereshtenejad, Sayedalireza, Song, Jae-Joon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2023
Schlagworte:	Accuracy evaluation computer vision computers Deep learning-based algorithms Rock discontinuity survey Scanline intersection similarity (SIS) Similarity metric surveys testing Trace map Deep learning-based algorithms Rock discontinuity survey Similarity metric Scanline intersection similarity (SIS) Trace map Accuracy evaluation
ISSN:	0098-3004, 1873-7803
Online-Zugang:	Volltext
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