@inproceedings{lazcano:hal-01484535,
TITLE = {Parallelism exploitation of a PCA algorithm for hyperspectral images using RVC-CAL},
AUTHOR = {Lazcano, R. and Sidrach-Cardona, I. and Madro{\~n}al, D. and Desnos, Karol and Pelcat, Maxime and Ju{\'a}rez, E. and Sanz, C.},
URL = {https://univ-rennes.hal.science/hal-01484535},
BOOK
TITLE = {High-Performance Computing in Geoscience and Remote Sensing VI},
ADDRESS = {Edinburgh, United Kingdom},
PUBLISHER = {SPIE},
VOLUME = {10007H},
YEAR = {2016},
MONTH = Sep, DOI = {10.1117/12.2241643},
KEYWORDS = {Data flow analysis ; Geology ; Iterative methods ; Remote sensing ; Semantics ; Specifications ; Spectroscopy ; Electromagnetic spectra ; First principal components ; Hyperspectral Imaging ; Parallelism exploitation ; PCA (principal component analysis) ; Performance requirements ; Realtime processing ; RVC-CAL ; Principal component analysis},
HAL_ID = {hal-01484535},
HAL_VERSION = {v1},
}