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Remote Sensing Technology and Application  2005, Vol. 20 Issue (5): 506-511    DOI: 10.11873/j.issn.1004-0323.2005.5.506
    
Pretreatment of Flied and Image Spectra Data
WU Chuan-qing 1,2 , TONG Qing-xi 1, ZHENG Lan-fen 1
1.Laboratory of Remote Sensing Information Science, Chinese Academy of Sciences, Beijing 100101, China; 2.Environmental Satellite Center Preparing Office, Chinese State Environmental Protection Administration, Beijing 100029, China
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Abstract  

In the research of hyper-spectral remote sensing, we need combine field spectra and image spectra to analyze. The correct collection of field spectra and pre-process of two kinds of spectra are often ignored by us, for there is little relationship between them and information analysis. In fact, before analysis directly, the raw data gotten from field or from remote sensing need format-change and de-noise etc. Though there are many books about spectra analysis now, none of them introduce how to collect spectra or spectra pre-process. Many persons who just begin to deal with hyper-spectral always feel confused. The author of this article has taken part in many projects about field spectra collection and airborne remote sensing, pre-processed a lot of field and image spectra in these years. This article introduces the author's experience and methods summarized from experiments from three aspects: ①how to collect field spectra correctly; ②how to pre-process field spectra; ③how to pre-process remote sensing images with field spectra. In this paper, the field spectra are collected by ASD --FR2500 and images are OMIS images. Data from other spectral apparatus and remote sensors can be dealt with analogously.

Key words:  Hyperspectral      Pre-process     
Received:  03 December 2004      Published:  17 November 2011
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WU Chuan-Qiang,Tong qiang-Xi, ZHENG Lan-Fen. Pretreatment of Flied and Image Spectra Data . Remote Sensing Technology and Application, 2005, 20(5): 506-511.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2005.5.506     OR     http://www.rsta.ac.cn/EN/Y2005/V20/I5/506

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