%0 Journal Article %1 journals/tgrs/LiuGXDZ24 %A Liu, Chang %A Ge, Linlin %A Xiang, Wei %A Du, Zheyuan %A Zhang, Qi %D 2024 %J IEEE Trans. Geosci. Remote. Sens. %K dblp %P 1-12 %T Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation. %U http://dblp.uni-trier.de/db/journals/tgrs/tgrs62.html#LiuGXDZ24 %V 62

@article{journals/tgrs/LiuGXDZ24, added-at = {2024-03-08T00:00:00.000+0100}, author = {Liu, Chang and Ge, Linlin and Xiang, Wei and Du, Zheyuan and Zhang, Qi}, biburl = {https://www.bibsonomy.org/bibtex/2c5d66cdc1c59df26aa500798c635eb9a/dblp}, ee = {https://doi.org/10.1109/TGRS.2023.3339475}, interhash = {499da9ffeb724c270ed5def7847e481e}, intrahash = {c5d66cdc1c59df26aa500798c635eb9a}, journal = {IEEE Trans. Geosci. Remote. Sens.}, keywords = {dblp}, pages = {1-12}, timestamp = {2024-04-08T16:14:29.000+0200}, title = {Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation.}, url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs62.html#LiuGXDZ24}, volume = 62, year = 2024 }