A Sensor-Shift Image Motion Compensation Method for Aerospace Remote Sensing Cameras Based on Image Motion Velocity Field Calculations

The calculation and analysis of the image motion velocity (IMV) field holds significant importance in the image motion compensation (IMC) of aerospace remote sensing cameras (ARSCs). Thus, this article puts forward a method for calculating the IMV field based on the rigorous imaging model, which takes into account the camera distortion characteristics. The proposed technique is applied to both a virtual and a real remote sensor to analyze the spatial and temporal features of the IMV field and the influence of camera distortion on it. Our experiments revealed that the additional IMV caused by camera distortion should not be disregarded when calculating IMV field due to its relative magnitude and the decrease in IMC performance caused by it. Additionally, we discussed the selection of the sensor-shift IMC strategy and found that for the real remote sensor considered in this article, the 2-D local compensation is already sufficient to achieve the desired compensation effect.

Automated summary

This article proposes a method for calculating the image motion velocity (IMV) field based on the rigorous imaging model, considering camera distortion characteristics. The technique is applied to both virtual and real remote sensors to analyze the spatial and temporal features of the IMV field and the influence of camera distortion on it. The experiments reveal the importance of considering camera distortion in calculating the IMV field due to its relative magnitude and the decrease in image motion compensation (IMC) performance caused by it. Additionally, the study discusses the selection of the sensor-shift IMC strategy and finds that 2D local compensation is already sufficient for achieving the desired compensation effect for the real remote sensor considered.