ARS  Vol.2 No.2 , June 2013
Accuracy Analysis on the Automatic Registration of Multi-Source Remote Sensing Images Based on the Software of ERDAS Imagine
Abstract: The automatic registration of multi-source remote sensing images (RSI) is a research hotspot of remote sensing image preprocessing currently. A special automatic image registration module named the Image Autosync has been embedded into the ERDAS IMAGINE software of version 9.0 and above. The registration accuracies of the module verified for the remote sensing images obtained from different platforms or their different spatial resolution. Four tested registration experiments are discussed in this article to analyze the accuracy differences based on the remote sensing data which have different spatial resolution. The impact factors inducing the differences of registration accuracy are also analyzed.
Cite this paper: D. Yuan, X. Cui, Y. Qiu, X. Gu and L. Zhang, "Accuracy Analysis on the Automatic Registration of Multi-Source Remote Sensing Images Based on the Software of ERDAS Imagine," Advances in Remote Sensing, Vol. 2 No. 2, 2013, pp. 140-148. doi: 10.4236/ars.2013.22018.

[1]   L. Yu, D. R. Zhang and E. J. Holden, “A Fast and Fully Automatic Registration Approach Based on Point Features for Multi-source Remote-Sensing Images,” Computers & Geosciences, Vol. 34, No. 7, 2008, pp. 838-848. doi:10.1016/j.cageo.2007.10.005

[2]   J. W. Wu and Y. P. Qin, “The Influencing Factors Analysis of Multi-Source Remote Sensing Image Polynomial Registration Accuracy,” Computer Engineering and Applications, Vol. 45, No. 32, 2009, pp. 153-155.

[3]   L. G. Wan and Y. L. Shi, “The Rapid Image Registration Based on AutoSync,” Surveying and Mapping, Vol. 33, No. 3, 2010, pp. 103-106.

[4]   G. S. Li, J. X. Zhang and W. D. Song, “The Automatic Extraction of Control Points in Remote Sensing Image Registration,” Journal of Liaoning Engineering Technology University, Vol. 24, No. 1, 2005, pp. 41-44.

[5]   A. D. Ventura, A. Rampini and R. Schettini, “Image Registration by Recognition of Corresponding Structures,” IEEE Transactions on Geo-Science and Remote Sensing, Vol. 28, No. 3, 1990, pp. 330-334.

[6]   G. Wang, “The Rapid Method of Remote Sensing Image Registration Based on ERDAS IMAGINE 9.1,” Xinjiang Environmental Protection, Vol. 32, No. 1, 2010, pp. 27-29.

[7]   S. L. Zhu, B. S. Zhu, G. W. Wang, et al., “The Processing Principle and Application of Remote Sensing Image,” Science Press, Beijing, 2006.

[8]   S. T. Liu and S. Q. Yang, “Research Progress of Image Registration Technique,” Lighting and Control, Vol. 14, No. 6, 2007, pp. 99-105.

[9]   Z. X. Zhang, J. Q. Zhang, M. S. Liao, et al., “The High Precision Automatic Registration of Remote Sensing Image,” Wuhan: Wuhan Technical University of Surveying and Mapping, Vol. 23, No. 4, 1998, pp. 4-8.

[10]   X. Wang and C.-H. Zhao, “The Application of Image Registration Based on ERDAS IMAGINE Software System,” Power System Engineering, Vol. 21, No. 2, 2005, pp. 59-62.