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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.6 P.492~496

http://doi.org/10.1631/jzus.2005.A0492


A two-step rectification algorithm for airborne linear images with POS data


Author(s):  TUO Hong-ya, LIU Yun-cai

Affiliation(s):  Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China

Corresponding email(s):   tuohy@sjtu.edu.cn

Key Words:  Airborne linear image, POS data, Two-step rectification algorithm, Direct georeference position, Polynomial distortion model


TUO Hong-ya, LIU Yun-cai. A two-step rectification algorithm for airborne linear images with POS data[J]. Journal of Zhejiang University Science A, 2005, 6(6): 492~496.

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author="TUO Hong-ya, LIU Yun-cai",
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T1 - A two-step rectification algorithm for airborne linear images with POS data
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DOI - 10.1631/jzus.2005.A0492


Abstract: 
Rectification for airborne linear images is an indispensable preprocessing step. This paper presents in detail a two-step rectification algorithm. The first step is to establish the model of direct georeference position using the data provided by the Positioning and Orientation System (POS) and obtain the mathematical relationships between the image points and ground reference points. The second step is to apply polynomial distortion model and Bilinear Interpolation to get the final precise rectified images. In this step, a reference image is required and some ground control points (GCPs) are selected. Experiments showed that the final rectified images are satisfactory, and that our two-step rectification algorithm is very effective.

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Reference

[1] Chen, T., 2001. High Precision Georeference for Airborne Three-Line Scanner (TLS) Imagery. Proceedings of 3rd International Image Sensing Seminar on New Development in Digital Photogrammetry, p.71-82.

[2] Chen, Z., Wu, C., Tsui, H., 2003. A new image rectification algorithm. Pattern Recognition Letters, 24:251-260.

[3] Daniela, P., 2002. General model for airborne and spaceborne linear array sensors. International Archives of Photogrammetry and Remote Sensing, 34:177-182.

[4] Dong, Y., Wang, H., 2000. Disparity interpolation for image synthesis. Pattern Recognition Letters, 21(2):201-210.

[5] Fusiello, A., Trucco, E., 2000. A compact algorithm for rectification of stereo pairs. Machine Vision and Applications, 12(1):16-22.

[6] Gruen, A., Zhang, L., 2002. Sensor modeling for aerial mobile mapping with Three-Line-Scanner (TLS) imagery. International Archives of Photogrammetry and Remote Sensing, 34:139-146.

[7] Hartley, R., 1999. Theory and practice of projective rectification. International Journal of Computer Vision, 35(2):115-127.

[8] Hinsken, L., Miller, S., Tempelmann, U., Uebbing, R., Walker, S., 2002. Triangulation of LHSystems’ADS40 Imagery Using ORIMA GPS/IMU. International Archives of Photogrammetry and Remote Sensing, 34:156-162.

[9] Lee, C.N., Theiss, H.J., Bethel, J.S., Mikhail, E.M., 2000. Rigorous mathematical modeling of airborne pushbroom imaging systems. Photogrammetric Engineering & Remote Sensing, 66:385-392.

[10] Skaloud, J., 1999. Optimizing Georeferencing of Airborne Survey Systems by INS/DGPS. Ph. D. Thesis, UCGE Report 20216 University of Calgary, Alberta, Canada.

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