Abstract
Abstract. Satellite jitter is a common and complicated phenomenon that degrades the geometric quality of high-resolution satellite images. Imagery-based detection and compensation of satellite jitter have recently been widely concerned. However, most of the existing studies overlook the issue of image interpolation in this topic involving subpixel measurements. In this study, the influence of image interpolation on imagery-based detection and compensation of satellite jitter is investigated. Four different interpolators are separately applied in dense least squares matching for jitter detection based on parallax observation and in intensity resampling for jitter distortion compensation. Experiments were carried out using ZiYuan-3 dataset to compare and analyze the results in the case of different image interpolation. The experimental results demonstrate the influence of image interpolation on imagery-based jitter processing. Inferior interpolators can induce pixel locking effect in subpixel matching and position-dependent systematic bias after image correction, which deteriorate the performance of jitter detection and compensation. To ensure the reliability, sophisticated interpolation algorithms with smaller phase errors are preferable in imagery-based jitter detection and compensation.
Highlights
Precise sensor orientation plays a crucial role in the geometric processing of high-resolution satellite images
The multispectral sensor was taken as a parallax observation system to detect and estimate attitude jitter of Ziyuan-3 satellite, and the distortions caused by satellite jitter in different bands were corrected by image resampling
Satellite jitter detection based on parallax observation and jitter compensation based on imagery with four image interpolation algorithms were performed and compared
Summary
Precise sensor orientation plays a crucial role in the geometric processing of high-resolution satellite images. Satellite jitter that causes the periodic instability of satellite attitude is another significant error source of sensor orientation (Tong et al, 2014). Many high-resolution satellites suffer from the issue of satellite jitter that is possibly induced by both external environment variations and internal mechanical operations (Mattson et al, 2010; Tong et al, 2017; Zhu et al, 2019). A subtle variation on attitude angle will cause a considerable geometric error on the ground. Detection and compensation of satellite jitter is an essential step to ensure the geometric quality of high-resolution satellite images
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