%0 Conference Paper %1 conf/igarss/CarcereriRIB23 %A Carcereri, Daniel %A Rizzoli, Paola %A Ienco, Dino %A Bruzzone, Lorenzo %B IGARSS %D 2023 %I IEEE %K dblp %P 1481-1484 %T Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. %U http://dblp.uni-trier.de/db/conf/igarss/igarss2023.html#CarcereriRIB23 %@ 979-8-3503-2010-7

@inproceedings{conf/igarss/CarcereriRIB23, added-at = {2023-11-07T00:00:00.000+0100}, author = {Carcereri, Daniel and Rizzoli, Paola and Ienco, Dino and Bruzzone, Lorenzo}, biburl = {https://www.bibsonomy.org/bibtex/26dd9a1a38dc46414c3db16400819f6d2/dblp}, booktitle = {IGARSS}, crossref = {conf/igarss/2023}, ee = {https://doi.org/10.1109/IGARSS52108.2023.10281962}, interhash = {f16cc02110ebf0c74837b84fa3470345}, intrahash = {6dd9a1a38dc46414c3db16400819f6d2}, isbn = {979-8-3503-2010-7}, keywords = {dblp}, pages = {1481-1484}, publisher = {IEEE}, timestamp = {2024-04-10T01:09:40.000+0200}, title = {Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data.}, url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2023.html#CarcereriRIB23}, year = 2023 }