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So the key problem needed to be solved in the IRFPA applications is applicable and real time nonuniformity correction technology.

但是焦平面探测器固有的非均匀性问题是其应用中必须解决的关键问题之一。

In this dissertation, real time correction of nonuniformity and boundary extraction of infrared image is investigated to improve the measuring accuracy.

本论文研究红外图像的实时非均匀校正和边缘提取的方法和技术，以达到提高红外图像测量精度的目的。

New algorithm of adaptive nonuniformity correction for IRFPA［J］.

一种新的红外焦平面器件非均匀性自适应校正算法［J］。

Therefore, real-time nonuniformity correction for IRFPA is the base of the infrared thermo-image system.

实时红外图像非均匀性校正是红外热成像系统的基础。

Experimental results indicate that the improved algorithm acquires good effect of the nonuniformity correction.

在此基础上，提出了利用探测器响应的分段线性模型对该算法进行扩展，以有效地克服响应非线性对非均匀性校正的影响。

An adaptive nonuniformity correction algorithm for IRLS using neural network is proposed.

本文提出一种针对此类非均匀性的，基于神经网络的自适应校正方法。

And the spectrum was divided into three regions, which were 430~100 nm, 1 000~1 800 nm, 430~1 800 nm, respectively. Four methods of spectrum data preprocessing were used, which were multiplicative scattering correction, standard normal variate, first derivative and second derivative.

应用多元散射校正，标准正态变量变换，一阶微分和二阶微分四种不同预处理方法，分别在430~1 000 nm、1 000~1 800 nm和430~1 800 nm三个光谱范围内建立识别脐橙污染程度的偏最小二乘法数学模型。

Correction of secondary spectrum based on normal dispersion glasses.

基于正常色散玻璃二级光谱的校正。

With the method of direct regress model and normal error correction model, the paper drew consistent conclusion.

通过房价波动决定因素的多元回归模型和经过严格单根检验的标准误差修正模型两种方法，得到较为一致的结论。

In the research of dynamic difference, based on the factors analysis of house price level, constructing similar and normal error correction model, the paper studied the determinant of short-run dynamics, and analyzed the reason of difference in autocorrelation and mean reversion.

在住房价格短期波动差异研究中，在城市房价水平影响因素分析的基础上，通过构建类似和标准误差修正模型，考察房价短期波动的决定因素，分析了房价波动自相关和均值回复表现差异的原因。

"Second Life is remarkably easy to work with, and is very popular,"

"第二次生命是显着容易的工作，并且很受欢迎，"

For example, we usually assume that materials are homogeneous and isotropic and free of internal defects or flaws.

为了得到适合有限元分析的模型，我们必须经过如图2所示的简化步骤。