Application of wavelet in data processing of remote sensing spectra

Yonghua Fang; Yulong Xun

doi:10.1117/12.317792

17 August 1998 Application of wavelet in data processing of remote sensing spectra

Yonghua Fang, Yulong Xun

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317792
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Yonghua Fang and Yulong Xun "Application of wavelet in data processing of remote sensing spectra", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317792

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