ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 709–715, 2020
https://doi.org/10.5194/isprs-annals-V-3-2020-709-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 709–715, 2020
https://doi.org/10.5194/isprs-annals-V-3-2020-709-2020

  03 Aug 2020

03 Aug 2020

A JITTER DETECTION METHOD BASED ON THE INTEGRATION IMAGING MODEL

G. Ye, J. Pan, Y. Zhu, and S. Jin G. Ye et al.
  • State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Keywords: Jitter detection, Multispectral images, Parallax map, Imaging process, ZY-3 satellite

Abstract. Satellite jitter is a random error source which leads to image degradation. This paper proposes a method to detect the time-variant jitter using multispectral images. In the method, multispectral images are adopted for their large overlap to obtain the parallax map. The imaging process is analyzed in details, and an integration imaging model is constructed, which takes fully into account the time-variant jitter property and builds the relationship between object space with image space. Besides, multispectral images of ZY-3 satellite were used for experiments, and results show that the presented method obtains the jitter curve with the error of amplitude, frequency and phase not more than 0.0591 px, 0.0006 Hz and 0.007 rad, respectively. Results demonstrate the performance of the presented method in jitter detection.