%0 Journal Article %1 journals/gis/LvSHZMWT22 %A Lv, Xianwei %A Shao, Zhenfeng %A Huang, Xiao %A Zhou, Wen %A Ming, Dongping %A Wang, Jiaming %A Tong, Chengzhuo %D 2022 %J Int. J. Geogr. Inf. Sci. %K dblp %N 4 %P 822-848 %T BTS: a binary tree sampling strategy for object identification based on deep learning. %U http://dblp.uni-trier.de/db/journals/gis/gis36.html#LvSHZMWT22 %V 36

@article{journals/gis/LvSHZMWT22, added-at = {2024-07-15T00:00:00.000+0200}, author = {Lv, Xianwei and Shao, Zhenfeng and Huang, Xiao and Zhou, Wen and Ming, Dongping and Wang, Jiaming and Tong, Chengzhuo}, biburl = {https://www.bibsonomy.org/bibtex/2ea856ce04e1b3fd9c06f6a3256d129a1/dblp}, ee = {https://doi.org/10.1080/13658816.2021.1980883}, interhash = {c981c65f65db44252441b3d9f0f65890}, intrahash = {ea856ce04e1b3fd9c06f6a3256d129a1}, journal = {Int. J. Geogr. Inf. Sci.}, keywords = {dblp}, number = 4, pages = {822-848}, timestamp = {2024-07-22T07:08:04.000+0200}, title = {BTS: a binary tree sampling strategy for object identification based on deep learning.}, url = {http://dblp.uni-trier.de/db/journals/gis/gis36.html#LvSHZMWT22}, volume = 36, year = 2022 }