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Proceedings Paper

Application of wavelet in data processing of remote sensing spectra
Author(s): Yonghua Fang; Yulong Xun
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Paper Abstract

In this paper we will first introduce the basic theory and algorithms of wavelet techniques, and then will try to use it to process the remote sensing spectral data acquired by IR Fourier transform spectrometer, we also discuss that self- adaptive wavelet network applied to classify the spectra. The experimental results show that wavelet techniques is very efficient in processing and classification of spectral data.

Paper Details

Date Published: 17 August 1998
PDF: 8 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317792
Show Author Affiliations
Yonghua Fang, Anhui Institute of Optics and Fine Mechanics (Germany)
Yulong Xun, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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