%0 Conference Paper %1 conf/cvpr/GiezendannerMPTMIT23 %A Giezendanner, Jonathan %A Mukherjee, Rohit %A Purri, Matthew %A Thomas, Mitchell %A Mauerman, Max %A Islam, A. K. M. Saiful %A Tellman, Beth %B CVPR Workshops %D 2023 %I IEEE %K dblp %P 2155-2165 %T Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. %U http://dblp.uni-trier.de/db/conf/cvpr/cvprw2023.html#GiezendannerMPTMIT23 %@ 979-8-3503-0249-3

@inproceedings{conf/cvpr/GiezendannerMPTMIT23, added-at = {2023-08-23T00:00:00.000+0200}, author = {Giezendanner, Jonathan and Mukherjee, Rohit and Purri, Matthew and Thomas, Mitchell and Mauerman, Max and Islam, A. K. M. Saiful and Tellman, Beth}, biburl = {https://www.bibsonomy.org/bibtex/23c61aa73de4829a0ed73ba137e08e1af/dblp}, booktitle = {CVPR Workshops}, crossref = {conf/cvpr/2023w}, ee = {https://doi.org/10.1109/CVPRW59228.2023.00209}, interhash = {4043dea603dfc666fb482530cc6a9685}, intrahash = {3c61aa73de4829a0ed73ba137e08e1af}, isbn = {979-8-3503-0249-3}, keywords = {dblp}, pages = {2155-2165}, publisher = {IEEE}, timestamp = {2024-04-09T20:45:40.000+0200}, title = {Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping.}, url = {http://dblp.uni-trier.de/db/conf/cvpr/cvprw2023.html#GiezendannerMPTMIT23}, year = 2023 }