线阵推扫式影像外方位元素间的强相关性，导致法方程病态，外方位元素的最小二乘估计值误差较大。
The strong interrelationship among exterior elements of linear pushbroom imagery induces normal equation severely ill-posed and least squares value deviated from the true value.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
本文采用两种方法来解决高温温区的外推标定问题，即基于二次曲线的导数最小二乘法和基于修正指数模型的趋势外推法。
One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.
本文采用两种方法来解决高温温区的外推标定问题，即基于二次曲线的导数最小二乘法和基于修正指数模型的趋势外推法。
One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.
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