Elimination method of image rotation for geostationary radiometer and its verification method

Wang Meizhu; Huang Xiaoxian; Feng Qi

doi:10.12086/oee.2018.170725

[1] Zhang E, Gong H X. Research and application of system for offsetting image rotation from 45° rotating scan mirror[J]. Journal of Infrared and Millimeter Waves, 1999, 18(2): 125–132.

[2] Wang D, Li X Y, Wu Q Z. Design of eliminating image rotation on opto-electronic imaging tracking and measuring device[J]. Opto-Electronic Engineering, 2012, 39(1): 108–112.

[3] Li S Y, Zhou S C. Analysis of the imaging characteristics of the two-dimensional pointing mirror[J]. Opto-Electronic Engineering, 2008, 35(5): 17–22.

[4] Hui B, Pei Y T, Wang G Q. Optical analysis of space two-axus scanning mirror[J]. Chinese Journal of Quantum Electronics, 2005, 22(5): 810–813.

[5] Wang W, Hong P, Wang B, et al. Characteristic analysis of two-dimensional scanning mirror rotating[J]. Optics & Optoelectronic Technology, 2015, 13(2): 82–86.

[6] Wu F, Wang D P. Analysis of scanning traces characteristics of the two-axis pointing mirror in the mode of scanning in given area[J]. Electro-Optic Technology Application, 2009, 24(4): 16–20.

[7] Wang G Q, Chen G L. Two-dimensional scanning infrared imaging technology on geosynchronous orbit[J]. Infrared and Laser Engineering, 2014, 43(2): 429–433.

[8] Sun D X, Wang J Y. Scan track of system using 45° mirror and its effect on the correction of image rotation[J]. Journal of Infrared and Millimeter Waves, 2005, 24(1): 19–22.

[9] Lian T S. Conjugate Theory Of Reflecting Prism[M]. Beijing: Beijing Institute of Technology Press, 1988: 1–3.

[10] Wang M Z, Huang X X, Feng Q. Two judging methods of seamless stitching for frame sensor on the geostationary orbit: Grid method and the geometric intersection method[J]. Journal of Remote Sensing, 2017, 21(6): 871–880.

[11] Lowe D G. Distinctive image features from scale-invariant keypoints[ J]. International Journal of Computer Vision, 2004, 60(2): 91–110.

[12] Fischler M A, Bolles R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography[J]. Readings in Computer Vision, 1987, 24(6): 726–740.