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HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benc..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Fuchs, Martin Hermann Paul
;
Demir, Begum
- p. 1779-1782 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10283385
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10283385&Exemplar=1&LAN=DE A1 Fuchs, Martin Hermann Paul A1 Demir, Begum YR 2023 SN 2153-7003 K1 Training K1 Image coding K1 Three-dimensional displays K1 Satellites K1 Image analysis K1 Benchmark testing K1 Sensors K1 Task analysis K1 Unsupervised learning K1 Hyperspectral imaging K1 EnMAP K1 hyperspectral dataset K1 image compression K1 deep learning K1 remote sensing SP 1779 OP 1782 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10283385 DO https://doi.org/10.1109/IGARSS52108.2023.10283385 SF ELIB - SuUB Bremen
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