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1
Selecting Hyperspectral Bands for Leaf Mass Per Area Predic..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Baskiotis, Catherine
;
Aval, Josselin
;
Bouz, Marwa El
. - p. 1408-1411 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884541
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Selecting Hyperspectral Bands for Leaf Mass Per Area Prediction by Means of Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9884541&Exemplar=1&LAN=DE A1 Baskiotis, Catherine A1 Aval, Josselin A1 Bouz, Marwa El A1 Falou, Ayman Al YR 2022 SN 2153-7003 K1 Reflectivity K1 Hyperspectral sensors K1 Databases K1 Current measurement K1 Neural networks K1 Force K1 Vegetation mapping K1 Leaf Mass per Area K1 hyperspectral data K1 band selection K1 neural-networks K1 vegetation index SP 1408 OP 1411 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884541 DO https://doi.org/10.1109/IGARSS46834.2022.9884541 SF ELIB - SuUB Bremen
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