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The signal-to-noise ratio (SNR) required for the estimation of foliar biochemical concentrations

 

作者: G. M. SMITH,   P. J. CURRAN,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1996)
卷期: Volume 17, issue 5  

页码: 1031-1058

 

ISSN:0143-1161

 

年代: 1996

 

DOI:10.1080/01431169608949062

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Abstract This paper compares estimates of the signal-to-noise ratio(SNR) required by imaging spectrometers for the estimation of foliar biochemical concentrations and the SNR currently achieved by the Airborne Visible/ Infrared Imaging Spectrometer (AVIRIS). The work was comprised of three sections. Section 1: the SNR required by imaging spectrometers was estimated by modelling three data sets, each of which more closely approximated the data recorded by the AVIRIS. The remaining stages were concerned with estimating the SNR currently achieved by the AVIRIS. Section 2: SNR estimates made as part of instrument calibration were scaled to those that would be expected when viewing vegetation, and section 3: SNR was estimated directly from AVIRIS imagery. The results of these three sections were then compared to assess the SNR performance of the AVIRIS and its utility for the estimation of foliar biochemical concentrations. The SNR of the AVIRIS is planned to double between 1994-5 and while this sensor was barely adequate for the estimation of foliar biochemical concentrations in 1992-3 it should be more than adequate from 1995 onwards.

 

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