However, the error of the optical flow estimation derived from the error of temporal differential estimation is not taken into account in above methods.
通过位移预补偿方式减小了时域微分估计中的不准确性,极大地提高了光流计算精度。
The factors, which introduce the error of temporal differential estimation are, analyzed. The successive approximation calculation model for the optical flow estimation is put forward.
分析了光流计算中产生时域微分估计误差的各种因素,提出了光流的逐次逼近计算模型。
By making use of the temporal correlation of the moisture changes, estimation and prediction might be achieved with satisfying accuracy.
利用湿度变化在时间上的相关性,吾人可预期土壤湿度的估计与预测是可以达到一相当的准确度。
应用推荐