ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-1
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-1, 69–76, 2014
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-1, 69–76, 2014

  07 Nov 2014

07 Nov 2014

Detection and Compensation of Band-to-band Registration Error for Multi-spectral Imagery Caused By Satellite Jitter

Y. Zhu, M. Wang, Q. Zhu, and J. Pan Y. Zhu et al.
  • LIESMARS, Wuhan University, No.129 Luo Yu Road, Wuhan, China

Keywords: Satellite Jitter Detection, Error Compensation, Band-to-band Registration, Accuracy Evaluation, Multispectral Image

Abstract. Satellite jitter has become a more and more important factor which affects the quality of imagery products with development of the high resolution satellite. This paper focused on analyzing the impact on multi-spectral image caused by satellite jitter and proposed a jitter detection and compensation method to improve the band-to-band registration efficiently when jitter exists without observation by attitude sensor. Firstly, the design of multi-spectral camera and the mainstream band-to-band registration method is introduced to explain factors influencing the registration accuracy. As one of factors, satellite jitter is an unexpected satellite movement and do have impact on registration on both across and along track but easy to be ignored for the lack of high frequency and accuracy attitude data. So next the jitter detection and compensation method is proposed, in which there are six main steps to achieve the analysis of registration accuracy with and without jitter and improvement of registration accuracy after compensation when the jitter cannot be ignored. Finally, three sets of multi-spectral images of ZY-3 were used to verify the proposed method. As a result, the error caused by satellite jitter was suppressed efficiently from 0.2pixels to 0.02pixels and registration accuracy (RMSE) was improved from 0.32 pixels to 0.11 pixels by the proposed method. The results indicate that the proposed method can detect and compensate the distortion of multi-spectral image caused by satellite jitter accurately and efficiently.