红边
插值(计算机图形学)
职位(财务)
高斯分布
遥感
先验与后验
线性插值
植被(病理学)
转化(遗传学)
二阶导数
数学
曲线拟合
GSM演进的增强数据速率
分光计
多项式的
几何学
光学
地质学
数学分析
物理
计算机科学
图像(数学)
统计
高光谱成像
化学
基因
经济
财务
医学
量子力学
认识论
生物化学
病理
人工智能
哲学
电信
作者
Terence P. Dawson,Paul J. Curran
标识
DOI:10.1080/014311698214910
摘要
The point of maximum slope on the reflectance spectrum of vegetation between red and near-infrared wavelengths, termed the red edge position (REP), is correlated strongly with foliar chlorophyll content and provides a very sensitive indicator of, among other things, vegetation stress. The high spectral resolution of airborne imaging spectrometers now offers the potential for determining the REP of vegetation canopies at regional scales. However, the accurate estimation of the REP is dependent upon sensor band positions and widths. Various techniques have been developed to minimize the error in estimating the REP, such as linear interpolation or inverted Gaussian curve fitting in the region of the red edge which requires an a priori knowledge of the spectrum under investigation. This technical note presents a simple technique known as Lagrangian interpolation which is applied to the first-derivative transformation of the reflectance spectrum. The technique fits a second-order polynomial curve to three bands, which need not be equally spaced, centred around the maximum slope position. A second derivative is then performed on the Lagrangian equation to determine the maximum slope position.
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