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pro vyhledávání: '"Linyun He"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 12, Iss 4, Pp 1219-1230 (2019)
We propose a new algorithm, hypothesis-based estimation with regularization (HyBER), to reconstruct and denoise hyperspectral image data without extra statistical assumptions. The hypothesis test selects the best statistical model approximating measu
Externí odkaz:
https://doaj.org/article/ba9bb6601d544054a9d84665466fae50
Autor:
Linyun He, Eunhye Song
Publikováno v:
2021 Winter Simulation Conference (WSC).
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 12, Iss 4, Pp 1219-1230 (2019)
We propose a new algorithm, hypothesis-based estimation with regularization (HyBER), to reconstruct and denoise hyperspectral image data without extra statistical assumptions. The hypothesis test selects the best statistical model approximating measu