Multiple Aerosol Unmixing by the Split Bregman Algorithm
CALIFORNIA UNIV LOS ANGELES DEPT OF MATHEMATICS
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For more than a decade the US government has been developing laser-based sensors for detecting, locating, and classifying aerosols in the atmosphere at safe standoff ranges. The motivation for this work is the need to discriminate aerosols of biological origin from interferent materials such as smoke and dust using the backscatter from multiple wavelengths in the long-range IR LWIR spectral region. Through previous work, algorithms have been developed for estimating the aerosol spectral dependence and concentration range-dependence from these data. The range-dependence is required for locating and tracking the aerosol plumes, and the backscatter spectral dependence is used for discrimination by a support vector machine classifier. Substantial progress has been made in these algorithms for the case of a single aerosol present in the lidar line-of-sight LOS.
- Physical Chemistry
- Optical Detection and Detectors