Spline and spline wavelet methods for noise reduction and restoration of hyperspectral images (SWAMHI)


Main funder


Funds granted by main funder (€)

10 000,00


Funding program

Researcher mobility Funding, AoF (Academy of Finland)


Project timetable

Project start date: 01/01/2018

Project end date: 31/12/2019


Summary

With certain hyperspectral sensor types we have noise and incomplete data in each measurement. Our aim is to tackle these problems with patching data in all three dimensions (two spatial and one spectral) and utilizing L1-norm minimization, splines, spline-based wavelets, wavelet packets, multiwavelets and frames.


Principal Investigator


Primary responsible unit


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Last updated on 2020-11-05 at 10:58