Bin Yang, Bin Wang. Research Advances of Spectral Unmixing Technology and Its Applications[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1600004
- Laser & Optoelectronics Progress
- Vol. 58, Issue 16, 1600004 (2021)
![Acquisition of material spectrum. (a) Continuous spectral features[2]; (b) spectral mixing process of ground covers](/richHtml/lop/2021/58/16/1600004/img_1.jpg)
Fig. 1. Acquisition of material spectrum. (a) Continuous spectral features[2]; (b) spectral mixing process of ground covers
Fig. 2. Research status of spectral unmixing technology
Fig. 3. Spectral unmixing researches statistics. (a) Relative quantity change of unmixing papers published in IEEE and Elsevier; (b) highly cited unmixing methods
Fig. 4. Application fields of spectral unmixing technology
Fig. 5. Abundance maps obtained by MESMA and mapped LAI [125]. (a) Sunlit vascular plant; (b) sunlit sphagnum moss; (c) shadow; (d) tree LAI; (e) shrub LAI; (f) total LAI
Fig. 6. Schematic diagram of spectral mixing of underwater environments
Fig. 7. Maps of SPM concentration in deep water, cH concentration in optically-shallow waters, and benthic substrate abundance[145]
Fig. 8. Unmixing results of urban dataset[158]. (a) Original imagery; (b)gray surface abundance map; (c) red surface abundance map; (d) vegetation abundance map; (e) bare soil abundance map
Fig. 9. Unmixing for Mars remote sensing imagery[172]. (a) Original imagery; (b) selected endmember spectra
Fig. 10. Unmixing for autofluorescence image[177]. (a) Original data of autofluorescence acquisition and mixed specific fluorescent markers; (b) unmixing results of sparsity regularized NMF
Fig. 11. Unmixing for fish muscle hyperspectral image[191]. (a) Original data; (b) unmixing results of blood concentration
Fig. 12. Unmixing for spruce stem Raman image[194]. (a) Original data; (b) unmixing results of VCA and NMF
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