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Proceedings Paper

The research of TDI-CCDs imagery stitching using information mending algorithm
Author(s): Weican Meng; Shulong Zhu; Baoshan Zhu; Shaojun Bian
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Paper Abstract

Non-collinear TDI-CCDs sensor was introduced and its imaging characteristics were analyzed. An information mending algorithm was adopted to stitch TDI-CCDs imagery. Key points of the algorithm are image matching and modeling of coordinate transformation between two images. Particularly, piecewise polynomial transformation model was adopted to describe the shift, rotation and the zoom factor of TDI-CCDs imagery after extracting tie points using SIFT algorithm. Coefficients of polynomial transformation were obtained through the solution of error equation constructed by large numbers of tie points and finally TDI-CCDs imagery was geometrically stitched. A certain high resolution satellite remotely sensed imagery were adopted to verify this algorithm. The experiments show that total precision of this information mending stitching algorithm reaches sub-pixel level.

Paper Details

Date Published: 21 August 2013
PDF: 10 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89081C (21 August 2013); doi: 10.1117/12.2033285
Show Author Affiliations
Weican Meng, Information Engineering Univ. (China)
Shulong Zhu, Information Engineering Univ. (China)
Baoshan Zhu, Information Engineering Univ. (China)
Shaojun Bian, Beijing Novel-Supertv Digital TV Technology Co. Ltd (China)


Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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