Accurate georegistration is required in airborne surveillance of ground targets since even a small bias in sensor registration may result in a large error in the converted target geolocation. Thus, this article addresses the problem of estimating and correcting the sensor biases in target geolocation. The effect of sensor biases on target geolocation is modeled and decoupled from the true target geolocation. By assuming that the biases are small, the effect of biases is separately addressed by a linear term in the converted target geolocation. Based on this model, two computationally efficient methods are proposed to estimate the biases. The converted target geolocation can then be corrected based on the bias estimates. Simulation results demonstrate the effectiveness of the proposed methods in estimating sensor biases and correcting target geolocations as well as their high computational efficiency.

中文翻译：

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用于地面目标跟踪的机载视频地理配准中的有效偏差估计

地面目标的机载监视需要精确的地理配准，因为即使传感器配准中的微小偏差也可能导致转换后的目标地理定位出现较大误差。因此，本文解决了在目标地理定位中估计和校正传感器偏差的问题。传感器偏差对目标地理位置的影响被建模并与真实的目标地理位置分离。通过假设偏差很小，偏差的影响由转换后的目标地理位置中的线性项单独解决。基于该模型，提出了两种计算效率高的方法来估计偏差。然后可以基于偏差估计来校正转换后的目标地理位置。