Abstract
In this paper, we have applied a recently developed complex-domain hyperspectral denoiser for the object recognition task, which is performed by the correlation analysis of investigated objects’ spectra with the fingerprint spectra from the same object. Extensive experiments carried out on noisy data from digital hyperspectral holography demonstrate a significant enhancement of the recognition accuracy of signals masked by noise, when the advanced noise suppression is applied.
| Original language | English |
|---|---|
| Article number | 5188 |
| Number of pages | 10 |
| Journal | Sensors |
| Volume | 19 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 26 Nov 2019 |
| Publication type | A1 Journal article-refereed |
Funding
Funding: Jane and Aatos Erkko Foundation and Finland Centennial Foundation funded Computational Imaging without Lens (CIWIL) project; Russian Ministry of Education and Science (project within the state mission for institutions of higher education, agreement 3.1893.2017/4.6).
Keywords
- Hyperspectral imaging
- Noise filtering
- Noise in imaging systems
- Singular value decomposition
- Sparse representation
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Analytical Chemistry
- Biochemistry
- Atomic and Molecular Physics, and Optics
- Instrumentation
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Spectral object recognition in hyperspectral holography with complex-domain denoising'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver