ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 279-283, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/279/2015/
doi:10.5194/isprsannals-II-3-W4-279-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
11 Mar 2015
ESTIMATION OF THE ATTITUDE PERTURBANCE USING PARALLAX IMAGERY - APPLICATION TO ZY-3 SATELLITE
Z. Ye1, Y. Xu1,3, F. Wang1, S. Liu1, X. Tang2, L. Li1, J. Xie2, and X. Tong1 1College of Surveying and Geo-Informatics, Tongji University, 200092, Shanghai, P. R. China
2Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, 101300, Beijing, P. R. China
3Photogrammetry and Remote Sensing, Technische Universität München, 80333, München, Germany
Keywords: Attitude Perturbance, ZY-3 Satellite, Parallax Observation, Multispectral Images, Image Matching Abstract. The inflight stability of the earth observation satellite is a significant factor having an influence on the geometric performance of its imagery. The estimation of the attitude perturbance is therefore indispensable to spaceborne photogrammetry application. In this paper, an experiment using a short strip of multispectral images obtained from ZY-3 satellite is conducted. The detection method for attitude perturbance based on parallax observation is adopted, while a novel approach of estimating the attitude perturbance angles from the perturbance caused image displacements is also proposed and demonstrated. The estimated results indicate that the ZY-3 satellite was affected by considerable perturbances with distinctive frequencies during the flight of the investigated images, and attitude perturbances hava also undermined the geometric performance of the acquired imagery.
Conference paper (PDF, 1129 KB)


Citation: Ye, Z., Xu, Y., Wang, F., Liu, S., Tang, X., Li, L., Xie, J., and Tong, X.: ESTIMATION OF THE ATTITUDE PERTURBANCE USING PARALLAX IMAGERY - APPLICATION TO ZY-3 SATELLITE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 279-283, doi:10.5194/isprsannals-II-3-W4-279-2015, 2015.

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