%0 Journal Article %1 journals/gis/ZhaoPW18 %A Zhao, Ruibin %A Pang, Mingyong %A Wang, Jidong %D 2018 %J Int. J. Geogr. Inf. Sci. %K dblp %N 5 %P 960-979 %T Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network. %U http://dblp.uni-trier.de/db/journals/gis/gis32.html#ZhaoPW18 %V 32

@article{journals/gis/ZhaoPW18, added-at = {2020-05-12T00:00:00.000+0200}, author = {Zhao, Ruibin and Pang, Mingyong and Wang, Jidong}, biburl = {https://www.bibsonomy.org/bibtex/2dce365a426da61150561c40f595c2b04/dblp}, ee = {https://doi.org/10.1080/13658816.2018.1431840}, interhash = {9882f30ee00ea6e53aa2fb6b29f6cf65}, intrahash = {dce365a426da61150561c40f595c2b04}, journal = {Int. J. Geogr. Inf. Sci.}, keywords = {dblp}, number = 5, pages = {960-979}, timestamp = {2020-05-13T11:59:34.000+0200}, title = {Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network.}, url = {http://dblp.uni-trier.de/db/journals/gis/gis32.html#ZhaoPW18}, volume = 32, year = 2018 }