Fast computation of absorption spectra for lidar data processing using principal component analysis

被引：12

作者：

Hayman, Matthew ^{[1
]}

Stillwell, Robert A. ^{[2
]}

Spuler, Scott M. ^{[1
]}

机构：

[1] Natl Ctr Atmospher Res, Earth Observing Lab, POB 3000, Boulder, CO 80307 USA

[2] Natl Ctr Atmospher Res, Adv Studies Program, POB 3000, Boulder, CO 80307 USA

来源：

OPTICS LETTERS | 2019年 / 44卷 / 08期

基金：

美国国家科学基金会;

关键词：

BRILLOUIN-SCATTERING;

D O I：

10.1364/OL.44.001900

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We describe a principal component-based technique for approximating absorption and scattering spectra commonly needed for lidar signal processing. Where previously these calculations had been bottlenecks in our lidar signal processing, the described approach has increased our spectrum calculation speed by over two orders of magnitude. The described approach also allows analytically calculated temperature and pressure derivatives, which is useful for propagating uncertainty and implementation of global optimization algorithms. (C) 2019 Optical Society of America

引用

页码：1900 / 1903

页数：4

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