Comparison about Stitching Algorithms for Sub-Images of Multiple TDI CCD Chips Based on Image Matching

Article Preview

Abstract:

Due to the limited pixel numbers in single TDI CCD chips, some TDI CCD chips are combined in the focal plane to reach a sufficient swath width. Basic imagery is delivered as one image data file per strip and how to convert those sub-images to a larger, accuracy equivalent image is an essential problem in satellite images’ processing. Some key factors that affect the imaging quality of TDI CCD images are discussed firstly. It shows that discrepancies in the along-track direction which caused by different viewing angle and topographic relief are the main problem to improve the stitching accuracy. Three basic image-oriented stitching strategies are discussed. Experimental results show that the RMS of shift transformation, single affine transformation and piecewise affine transformation is 1.4 pixels, 1.3 pixels and 0.2 pixels. Piecewise affine transformation fully meets the requirements of further processing.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

587-593

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Kocaman S, Gruen A. Orientation and self-calibration of ALOS PRISM imagery [J]. The Photogrammetric Record, 2008, 23(123): 323-340.

DOI: 10.1111/j.1477-9730.2008.00493.x

Google Scholar

[2] Dial G F, Bowen H, Gerlach B, et al. IKONOS satellite, sensor, imagery, and products [J]. Remote Sensing of Environment, 2004, 88(1-2): 23-36.

DOI: 10.1016/j.rse.2003.08.014

Google Scholar

[3] Eisenbeiss H, Baltsavias E, Pateraki M , et al, Potential of IKONOS and QuickBird imagery for accurate 3D-point positioning, orthoimage and DSM Generation[J], International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2004, 35(Part B3): 522-528.

Google Scholar

[4] Jacobsen K. Calibration of IRS-1C PAN-camera[C]/ISPRS Workshop on Sensors and Mapping from Space. Hannover, Germany: German Society for Photogrammetry and Remote Sensing ISPRS, 1997: 163-170.

DOI: 10.1016/s0924-2716(97)00014-2

Google Scholar

[5] Shiwei LI, Tuanjie LIU, et al. Image Mosaic for TDICCD Push-broom Camera Image Based on Image Matching [J]. Remote Sensing Technology and Application. 2009, 24(3): 374-378. In Chinese.

Google Scholar

[6] Xingming TANG, Guo ZHANG, et al. Triple Linear-array Imaging Geometry Model of Ziyuan-3 Surveying Satellite and Its Validation [J]. Acta Geodaetica et Carographica Sinica, 2012, 41(2): 191-198. In Chinese.

Google Scholar

[7] Suhail A, Dave D, et al. High speed dual output channel, stage selectable, TDI CCD image sensor for high resolution applications [J]. SPIE, 1995, 2415, 124-133.

DOI: 10.1117/12.206507

Google Scholar

[8] Savvas G Chamberlain, William D Washkurak. High Speed, Low Noise, Fine Resolution TDICCD Images [J]. SPIE, 1990, 1242, 252-262.

Google Scholar

[9] HU Fen. Research on Inner FOV Stitching Theories and Algorithms for Sub-images of Three Non-collinear TDI CCD Chips [D]. Wuhan University. 69-71. In Chinese.

Google Scholar

[10] Jianqing ZHANG, PAN Li et al. Photogrammetry (Second Edition) [M]. Wuhan, Wuhan University Press. 2010: 128-129. In Chinese.

Google Scholar