%0 Journal Article %1 journals/staeors/AcostaKTGG19 %A Acosta, Isabel Cecilia Contreras %A Khodadadzadeh, Mahdi %A Tusa, Laura %A Ghamisi, Pedram %A Gloaguen, Richard %D 2019 %J IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing %K dblp %N 12 %P 4829-4842 %T A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. %U http://dblp.uni-trier.de/db/journals/staeors/staeors12.html#AcostaKTGG19 %V 12

@article{journals/staeors/AcostaKTGG19, added-at = {2020-03-03T00:00:00.000+0100}, author = {Acosta, Isabel Cecilia Contreras and Khodadadzadeh, Mahdi and Tusa, Laura and Ghamisi, Pedram and Gloaguen, Richard}, biburl = {https://www.bibsonomy.org/bibtex/2e14cd5a16f1b3ed59680850722c0eb45/dblp}, ee = {https://doi.org/10.1109/JSTARS.2019.2924292}, interhash = {e4413f4e09d363d21e8945284e37966e}, intrahash = {e14cd5a16f1b3ed59680850722c0eb45}, journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing}, keywords = {dblp}, number = 12, pages = {4829-4842}, timestamp = {2020-03-04T11:46:25.000+0100}, title = {A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion.}, url = {http://dblp.uni-trier.de/db/journals/staeors/staeors12.html#AcostaKTGG19}, volume = 12, year = 2019 }