0000000001148844

AUTHOR

Jizhen Cai

showing 1 related works from this author

Extending the Unmixing methods to Multispectral Images

2021

In the past few decades, there has been intensive research concerning the Unmixing of hyperspectral images. Some methods such as NMF, VCA, and N-FINDR have become standards since they show robustness in dealing with the unmixing of hyperspectral images. However, the research concerning the unmixing of multispectral images is relatively scarce. Thus, we extend some unmixing methods to the multispectral images. In this paper, we have created two simulated multispectral datasets from two hyperspectral datasets whose ground truths are given. Then we apply the unmixing methods (VCA, NMF, N-FINDR) to these two datasets. By comparing and analyzing the results, we have been able to demonstrate some…

FOS: Computer and information sciencesMultispectral Imagesbusiness.industryComputer scienceComputer Vision and Pattern Recognition (cs.CV)Multispectral imageImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionHyperspectral imagingPattern recognitionUnmixingElectrical Engineering and Systems Science - Image and Video ProcessingField (computer science)Non-negative matrix factorizationRobustness (computer science)FOS: Electrical engineering electronic engineering information engineeringArtificial intelligencebusiness
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