3-d data interpolation and denoising by an adaptive weighting rank-reduction method using multichannel singular spectrum analysis algorithm

HIGHLIGHTS

• who: Farzaneh Bayati and Daniel trad from the Department of Earth Science, University of Calgary, University Drive NW, Calgary, AB T N , Canada have published the Article: 3-D Data Interpolation and Denoising by an Adaptive Weighting Rank-Reduction Method Using Multichannel Singular Spectrum Analysis Algorithm, in the Journal: Sensors 2023, 23, 577. of /2023/
• what: The authors propose an adaptive weighted rank reduction (AWRR) method that selects the optimum rank in each window automatically. The authors investigate the singular value distribution of the data by converting it to the ( f, x, y) domain.
 



If you want to have access to all the content you need to log in!

Thanks :)

Username or E-mail:

If you don't have an account, you can create one here.