Singular value decomposition in multispectral radiometry
作者:
S. DANAHER,
E. O'MONGAIN,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1992)
卷期:
Volume 13,
issue 9
页码: 1771-1777
ISSN:0143-1161
年代: 1992
DOI:10.1080/01431169208904226
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A method is defined for the estimation of the strength of signal present in spectral data sets which are dominated by background and noise effects. The method is particularly well suited to data in cases where a considerable body of observations is available for calibration purposes. The spectral characteristics of the required signal as it affects the data, the ‘key vector’, is determined by Singular Value Decomposition and optimised using the known constituent data. A simulation is performed to illustrate the determination of the key vector and its use to estimate constituent content on subsequent data sets.
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