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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.