A new method for attitude refinement of earth observation satellite with asynchronous images

The accuracy of attitude observation is always the main contributor to geometric performance of earth observation satellites (EOSs). Given the ground process requirement, linear pushbroom and asynchronous imaging sensors are widely used in EOSs, such as multispectral sensor with sequential line arrays, three-line array sensor in stereo mapping satellite, panchromatic sensor with multiple non-collinear CCD chip in some high-resolution optical satellite. By using the images of those sensors, this paper proposes a method, which is based on image registration approach, rigorous forward intersection and bundle adjustment technology, to refine attitude data of satellite for improving geometric performance of images. Preliminary experiments, which used multi-sensors asynchronous images of Chinese Mapping Satellite-1-02, demonstrate that the proposed method is capable of improving internally coincident precision of attitude data without ground control points. In particular, relative positioning accuracy of images can be directly improved, and absolute positioning accuracy can consequently be improved via additionally using a few GCPs in the stripe image data.

[1]  David Mulawa,et al.  ON-ORBIT GEOMETRIC CALIBRATION OF THE ORBVIEW-3 HIGH RESOLUTION IMAGING SATELLITE , 2004 .

[2]  James C. Storey,et al.  Four years of Landsat-7 on-orbit geometric calibration and performance , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Cheng-Chien Liu,et al.  Processing of FORMOSAT-2 Daily Revisit Imagery for Site Surveillance , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Chris Bartone,et al.  A GPS Orbit and Clock Correction Analysis for Long Baseline High Performance DGPS , 2005 .

[5]  Takeo Tadono,et al.  PRISM On-Orbit Geometric Calibration and DSM Performance , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Bo Yang,et al.  On-Orbit Geometric Calibration Model and Its Applications for High-Resolution Optical Satellite Imagery , 2014, Remote. Sens..

[7]  V. Amberg,et al.  In-flight attitude perturbances estimation: application to PLEIADES-HR satellites , 2013, Optics & Photonics - Optical Engineering + Applications.

[8]  James C. Storey,et al.  A geometric performance assessment of the EO-1 advanced land imager , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Yusheng Xu,et al.  Framework of Jitter Detection and Compensation for High Resolution Satellites , 2014, Remote. Sens..

[10]  Akira Iwasaki,et al.  Correction of Attitude Fluctuation of Terra Spacecraft Using ASTER/SWIR Imagery With Parallax Observation , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Tao Sun,et al.  Application of attitude jitter detection based on short-time asynchronous images and compensation methods for Chinese mapping satellite-1. , 2015, Optics express.

[12]  S. Skone,et al.  Studies of storm-enhanced density impact on DGPS using IGS reference station data , 2009 .

[13]  Hassan Foroosh,et al.  Extension of phase correlation to subpixel registration , 2002, IEEE Trans. Image Process..

[14]  Maoteng Zheng,et al.  Multistrip Bundle Block Adjustment of ZY-3 Satellite Imagery by Rigorous Sensor Model Without Ground Control Point , 2015, IEEE Geoscience and Remote Sensing Letters.

[15]  Maoteng Zheng,et al.  On-Orbit Geometric Calibration of ZY-3 Three-Line Array Imagery With Multistrip Data Sets , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Alfred S. McEwen,et al.  EARLY ASSESSMENT OF SPACECRAFT JITTER IN LROC-NAC. Sarah S. Mattson 1 , M. , 2010 .