Journal
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
Volume 178, Issue -, Pages 167-175Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jqsrt.2016.01.009
Keywords
Scattering; Aerosols; Pollen; Multivariate analysis; Principal component analysis; Discriminant function analysis
Categories
Ask authors/readers for more resources
Light scattering from non-spherical particles and aggregates exhibits complex structure that is revealed only when observed in two angular dimensions (theta, phi). However, due to variations in shape, packing, and orientation of such aerosols, the structure of two-dimensional angular optical scattering (TAOS) patterns varies among particles. The spectral dependence of scattering contributes further to the observed complexity, but offers another facet to consider. By leveraging multispectral TAOS data from flowing aerosols, we have identified novel morphological descriptors that may be employed in multivariate statistical algorithms for unknown particle classification. (C) 2016 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available