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Refined empirical line method to calibrate IKONOS imagery
作者姓名:XU  Jun-feng  HUANG  Jing-feng
作者单位:Institute of Agricultural Remote Sensing and Information Technology,Zhejiang University,Hangzhou 310029,China
基金项目:Project supported by the Hi-Tech Research and Development Pro-gram (863) of China (Nos. 2002AA130010-2-7 and 2003AA131020- 04-06) and the National Natural Science Foundation of China (No. 40171065)
摘    要:INTRODUCTION To extract quantitative biophysical parameter such as leaf biomass and leaf chlorophyll concentra- tion from the remotely sensed imagery accurately, the effects of atmospheric scattering and absorption must be removed. Atmospheric effects add to or diminish true ground reflectance, if the atmospheric spectral features are not properly removed. A significant analytical bias could be introduced for data interpre- tation (Ben-Dor and Levin, 2000). Many approaches have been deve…

关 键 词:多光谱成象  校准  IKONOS  REL方法  图象处理
收稿时间:2005-08-26
修稿时间:2005-10-25

Refined empirical line method to calibrate IKONOS imagery
XU Jun-feng HUANG Jing-feng.Refined empirical line method to calibrate IKONOS imagery[J].Journal of Zhejiang University Science,2006,7(4):641-646.
Authors:Jun-feng Xu  Jing-feng Huang
Institution:(1) Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou, 310029, China
Abstract:To extract quantitative biophysical parameters such as leaf biomass and leaf chlorophyll concentration from the remotely sensed imagery, the effect of atmospheric attenuation must be removed. The refined empirical line (REL) method was used to calibrate the IKONOS multispectral imagery. The IKONOS digital numbers (DN) were converted to the at-satellite reflectance, then the linear relation between at-satellite reflectance and surface spectral reflectance (ρ λ) was derived from six bright targets of known reflectance in the image, and modelled estimates of the image reflectance at ρ λ=0. Validation targets were used to test the feasibility of REL method. The mean relative errors between ρ λ retrieved from IKONOS image using REL method and ground-measured ρ λ were 11%, 13%, 3% and 5% in the IKONOS blue, green, red and near-infrared (NIR) respectively. When dark targets are unavailable or measurement of dark target is inconvenient, the REL method was most crucial for retrieving surface spectral reflectance. The REL offers a simple approach for quantitative retrieval of biophysical parameters from IKONOS imagery. Project supported by the Hi-Tech Research and Development Program (863) of China (Nos. 2002AA130010-2-7 and 2003AA131020-04-06) and the National Natural Science Foundation of China (No. 40171065)
Keywords:Calibration  Refined empirical line (REL) method  IKONOS
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