%0 Journal Article %1 journals/tgrs/ShiHHCDDH22 %A Shi, Yue %A Han, Liangxiu %A Huang, Wenjiang %A Chang, Sheng %A Dong, Yingying %A Dancey, Darren %A Han, Lianghao %D 2022 %J IEEE Trans. Geosci. Remote. Sens. %K dblp %P 1-20 %T A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. %U http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#ShiHHCDDH22 %V 60

@article{journals/tgrs/ShiHHCDDH22, added-at = {2021-12-15T00:00:00.000+0100}, author = {Shi, Yue and Han, Liangxiu and Huang, Wenjiang and Chang, Sheng and Dong, Yingying and Dancey, Darren and Han, Lianghao}, biburl = {https://www.bibsonomy.org/bibtex/2eda7ae51e24f87ce5b7c757317ccf20d/dblp}, ee = {https://doi.org/10.1109/TGRS.2021.3058782}, interhash = {0a7730d080eae89693b73897a668d88a}, intrahash = {eda7ae51e24f87ce5b7c757317ccf20d}, journal = {IEEE Trans. Geosci. Remote. Sens.}, keywords = {dblp}, pages = {1-20}, timestamp = {2024-04-08T16:17:56.000+0200}, title = {A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery.}, url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs60.html#ShiHHCDDH22}, volume = 60, year = 2022 }