Paper
21 August 2013 The research of TDI-CCDs imagery stitching using information mending algorithm
Weican Meng, Shulong Zhu, Baoshan Zhu, Shaojun Bian
Author Affiliations +
Proceedings Volume 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications; 89081C (2013) https://doi.org/10.1117/12.2033285
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weican Meng, Shulong Zhu, Baoshan Zhu, and Shaojun Bian "The research of TDI-CCDs imagery stitching using information mending algorithm", Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89081C (21 August 2013); https://doi.org/10.1117/12.2033285
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Cited by 2 scholarly publications.
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KEYWORDS
Charge-coupled devices

Image segmentation

CCD image sensors

Satellites

Sensors

Earth observing sensors

High resolution satellite images

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