Application of multilayer perceptron to high-resolution infrared measurement retrieval / Gribanov Konstantin G.,Toptygin Alexander Yu.,Zakharov Vyacheslav I. // . - 2006. - V. 6580, l. .

ISSN/EISSN:

0277-786X / нет данных

Type:

Proceedings Paper

Abstract:

Multilayer perceptron (MLP) as universal approximator may be used for fast retrieval of atmospheric parameters such as vertical profiles of temperature, humidity and concentration of absorbing gases from high-resolution infrared spectra measured by satellite sensors. On the one hand, the number of spectral channels even necessary for retrieval of particular atmospheric parameter is very high, so practical use of MLP needs for effective compression of spectral data with tolerable loss of accuracy. On the other hand, algorithm of error back propagation becomes more effective if the input data vector contains uncorrelated values with zero means, their covariance are approximately equal, and information content of training set is maximized. The modified method of principal components (or empirical orthogonal functions expansion) satisfies to all above requirements. The MLP may be constructed using relevant truncated vectors of principal components as input and output data. Such MLP has fewer dimensions (the number of input output and hidden neurons) and requires less time for training than MLP using the high-resolution spectrum as input vector and set of vertical profiles of atmospheric parameters as output vector. The developed technique was applied to AIRS observations to retrieve temperature, humidity and methane content. The empirical orthogonal functions were obtained as eigenvectors of matrix G = Se-1/2SRRSe-1/2, where S-R is sample covariance matrix built on real AIRS measurements over given region, and S-e is error covariance matrix characterizing the sensor. The set of measured and model profiles as well as surface temperature and pressure were used for construction of empirical orthogonal functions to represent output data of MLP as truncated expansion. Error profiles and examples of temperature and methane maps are presented.

Author keywords:

remote sensing INVERSION; IMG/ADEOS

DOI:

10.1117/12.724933

Web of Science ID:

ISI:000245102200027

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Ponomarev, YN and Mikhailenko, SN and Sinitsa, LN
Booktitle	15TH SYMPOSIUM ON HIGH-RESOLUTION MOLECULAR SPECTROSCOPY
Series	Proceedings of SPIE
Note	15th Symposium on High-Resolution Molecular Spectroscopy, Nizhny Novgorod, RUSSIA, JUL 18-21, 2006
Organization	Opt Soc Amer; SPIE Russia Chapter; Russian Fdn Basic Res; Bruker Ltd; Russian Acad Sci, Inst Appl Phys; Russian Acad Sci, Inst Atmospher Opt; Russian Radiat Commiss
Publisher	SPIE-INT SOC OPTICAL ENGINEERING
Address	1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
Language	English
Article-Number	UNSP 65800R
ISBN	978-0-8194-6702-7
Keywords-Plus	INVERSION; IMG/ADEOS
Research-Areas	Spectroscopy
Web-of-Science-Categories	Spectroscopy
Author-Email	kgribanov@remotesensing.ru
ResearcherID-Numbers	Gribanov, Konstantin/P-3479-2015
Number-of-Cited-References	13
Usage-Count-Since-2013	4
Doc-Delivery-Number	BFW50