The research of TDI-CCDs imagery stitching using information mending algorithm
Weican Meng, Shulong Zhu, Baoshan Zhu, Shaojun Bian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.