%0 Conference Paper %1 conf/igarss/ParisB19 %A Paris, Claudia %A Bruzzone, Lorenzo %B IGARSS %D 2019 %I IEEE %K dblp %P 5722-5725 %T Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. %U http://dblp.uni-trier.de/db/conf/igarss/igarss2019.html#ParisB19 %@ 978-1-5386-9154-0

@inproceedings{conf/igarss/ParisB19, added-at = {2019-11-21T00:00:00.000+0100}, author = {Paris, Claudia and Bruzzone, Lorenzo}, biburl = {https://www.bibsonomy.org/bibtex/248d260bac82ad68a28bd4dc14c85285c/dblp}, booktitle = {IGARSS}, crossref = {conf/igarss/2019}, ee = {https://doi.org/10.1109/IGARSS.2019.8900649}, interhash = {0312bb09e344708a7c6e39cd26541ea0}, intrahash = {48d260bac82ad68a28bd4dc14c85285c}, isbn = {978-1-5386-9154-0}, keywords = {dblp}, pages = {5722-5725}, publisher = {IEEE}, timestamp = {2019-11-22T11:42:12.000+0100}, title = {Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks.}, url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2019.html#ParisB19}, year = 2019 }