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

被引：2

作者：

Bai, Yan ^{[1
,2
]}

Jin, Zhonghe ^{[1
,2
]}

机构：

[1] Zhejiang Univ, Microsatellite Res Ctr, Sch Aeronaut & Astronaut, Hangzhou 310027, Peoples R China

[2] Zhejiang Key Lab Micronano Satellite Res, Hangzhou 310027, Peoples R China

来源：

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2023年 / 16卷

关键词：

Aerospace remote sensing cameras; distortion model; image motion compensation; image motion velocity field; sensor-shift;

D O I：

10.1109/JSTARS.2023.3284815

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：5464 / 5473

页数：10