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

has been cited by the following article:

• TITLE: Accuracy Analysis on the Automatic Registration of Multi-Source Remote Sensing Images Based on the Software of ERDAS Imagine

  AUTHORS: Debao Yuan, Ximin Cui, Yahui Qiu, Xueyun Gu, Li Zhang

  KEYWORDS: Multi-Source Remote Sensing Images; Automatic Registration; Image Autosync; Registration Accuracy

  JOURNAL NAME: Advances in Remote Sensing, Vol.2 No.2, June 17, 2013

  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.