Automated detection of geological landforms on Mars using Convolutional Neural Networks (English)
- New search for: Palafox, Leon F
- New search for: Palafox, Leon F
- New search for: Hamilton, Christopher W
- New search for: Scheidt, Stephen P
- New search for: Alvarez, Alexander M
In:
Computers & geosciences
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101
; 48-56
;
2017
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ISSN:
- Article (Journal) / Print
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Title:Automated detection of geological landforms on Mars using Convolutional Neural Networks
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Contributors:
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Published in:Computers & geosciences ; 101 ; 48-56
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Publisher:
- New search for: Elsevier
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Place of publication:Amsterdam
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Publication date:2017
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 38.03
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 38.03 Methoden und Techniken der Geowissenschaften -
Source:
Table of contents – Volume 101
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Multi-waveform classification for seismic facies analysisSong, Chengyun / Liu, Zhining / Wang, Yaojun / Li, Xingming / Hu, Guangmin et al. | 2016
- 10
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Multi-thread parallel algorithm for reconstructing 3D large-scale porous structuresJu, Yang / Huang, Yaohui / Zheng, Jiangtao / Qian, Xu / Xie, Heping / Zhao, Xi et al. | 2017
- 21
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Benchmarking PET for geoscientific applications: 3D quantitative diffusion coefficient determination in clay rockLippmann-Pipke, J. / Gerasch, R. / Schikora, J. / Kulenkampff, J. et al. | 2017
- 28
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Accurate and efficient maximal ball algorithm for pore network extractionArand, Frederick / Hesser, Jürgen et al. | 2017
- 38
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Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case studyWang, Xin / Li, Yan / Chen, Tongjun / Yan, Qiuyan / Ma, Li et al. | 2017
- 48
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Automated detection of geological landforms on Mars using Convolutional Neural NetworksPalafox, Leon F. / Hamilton, Christopher W. / Scheidt, Stephen P. / Alvarez, Alexander M. et al. | 2016