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1
An Extensive Multisensor Hyperspectral Benchmark Datasets o..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Koirala, Bikram
;
Rasti, Behnood
;
Bnoulkacem, Zakaria
... - p. 5890-5893 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10281467
RT T1
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
: T1
An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders
UL https://suche.suub.uni-bremen.de/peid=ieee-10281467&Exemplar=1&LAN=DE A1 Koirala, Bikram A1 Rasti, Behnood A1 Bnoulkacem, Zakaria A1 De Lima Ribeiro, Andrea A1 Madriz, Yuleika A1 Herrmann, Erik A1 Gestels, Arthur A1 De Kerf, Thomas A1 Janssens, Koen A1 Steenackers, Gunther A1 Gloaguen, Richard A1 Scheunders, Paul YR 2023 SN 2153-7003 K1 Reflectivity K1 Spectroradiometers K1 Powders K1 Calcium K1 Geoscience and remote sensing K1 Cameras K1 Sensors K1 Hyperspectral K1 intimate mixtures K1 multisensor dataset K1 benchmark K1 unmixing SP 5890 OP 5893 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10281467 DO https://doi.org/10.1109/IGARSS52108.2023.10281467 SF ELIB - SuUB Bremen
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