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Remote Sens. 2016, 8(10), 827; doi:10.3390/rs8100827

A New Image Processing Procedure Integrating PCI-RPC and ArcGIS-Spline Tools to Improve the Orthorectification Accuracy of High-Resolution Satellite Imagery

Faculty of Information Engineering, China University of Geosciences (Wuhan), No. 388 Lumo Road, Wuhan 430074, China
School of Geosciences, University of South Florida, 4202 East Fowler Avenue, NES107, Tampa, FL 33620, USA
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz, Xiaofeng Li and Prasad S. Thenkabail
Received: 21 June 2016 / Revised: 5 September 2016 / Accepted: 27 September 2016 / Published: 9 October 2016
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Given the low accuracy of the traditional remote sensing image processing software when orthorectifying satellite images that cover mountainous areas, and in order to make a full use of mutually compatible and complementary characteristics of the remote sensing image processing software PCI-RPC (Rational Polynomial Coefficients) and ArcGIS-Spline, this study puts forward a new operational and effective image processing procedure to improve the accuracy of image orthorectification. The new procedure first processes raw image data into an orthorectified image using PCI with RPC model (PCI-RPC), and then the orthorectified image is further processed using ArcGIS with the Spline tool (ArcGIS-Spline). We used the high-resolution CBERS-02C satellite images (HR1 and HR2 scenes with a pixel size of 2 m) acquired from Yangyuan County in Hebei Province of China to test the procedure. In this study, when separately using PCI-RPC and ArcGIS-Spline tools directly to process the HR1/HR2 raw images, the orthorectification accuracies (root mean square errors, RMSEs) for HR1/HR2 images were 2.94 m/2.81 m and 4.65 m/4.41 m, respectively. However, when using our newly proposed procedure, the corresponding RMSEs could be reduced to 1.10 m/1.07 m. The experimental results demonstrated that the new image processing procedure which integrates PCI-RPC and ArcGIS-Spline tools could significantly improve image orthorectification accuracy. Therefore, in terms of practice, the new procedure has the potential to use existing software products to easily improve image orthorectification accuracy. View Full-Text
Keywords: high-resolution satellite imagery; orthorectification; PCI-RPC; ArcGIS-Spline high-resolution satellite imagery; orthorectification; PCI-RPC; ArcGIS-Spline

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, H.; Pu, R.; Liu, X. A New Image Processing Procedure Integrating PCI-RPC and ArcGIS-Spline Tools to Improve the Orthorectification Accuracy of High-Resolution Satellite Imagery. Remote Sens. 2016, 8, 827.

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