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

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

College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China.
The Geotechnical Institute of Beijing AeroSpace, Beijing, China.

DOI: 10.4236/ars.2013.22018                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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