Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

By /
by Danielle M. DeLatte, Sarah T. Crites, Nicholas Guttenberg, Takehisa Yairi
Reference:
Danielle M. DeLatte, Sarah T. Crites, Nicholas Guttenberg, Takehisa Yairi:Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era, Advances in Space Research, vol. 64, no. 8, pp. 1615-1628, 2019.
Bibtex Entry:
@article{delatteAutomatedCraterDetection2019,
title = {Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era},
author = {Danielle M. DeLatte and Sarah T. Crites and Nicholas Guttenberg and Takehisa Yairi},
labauthor = {Danielle M. DeLatte and Takehisa Yairi},
doi = {10.1016/j.asr.2019.07.017},
year  = {2019},
date = {2019-01-01},
journal = {Advances in Space Research},
volume = {64},
number = {8},
pages = {1615-1628},
}