Finally, evaluation is made from the following aspects: mean, entropy, cross entropy, distortion of the correlation coefficients and the feasibility of the method is verified in this paper.
最后从均值、信息熵、交叉熵、扭曲程度、相关系数等方面对融合后图像进行了评价，验证了算法的可行性。
Result:The coefficients of correlation of inner cross validation and external validation are both above 0.90, and the RMSECV and RMSEP are both below 0.05.
结果：所建的5个模型对验证集样品水分含量的预测值与实测值的相关系数均在0.90以上，预测误差均方根（RMSEP）均在0.05以下。
A new algorithm based on selective cross correlation coefficients is proposed in order to search images under partial occlusion.
提出了一种新的基于选择互相关系数的目标识别算法用于搜索有局部遮挡的目标区域。
A new algorithm based on selective cross correlation coefficients is proposed in order to search images under partial occlusion.
提出了一种新的基于选择互相关系数的目标识别算法用于搜索有局部遮挡的目标区域。
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