Abstract
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.
Highlights
With the development of remote sensing technology, the spatial resolution and spectral resolution of remote sensing images have been greatly improved, and application fields of remote sensing technology are expanding [1,2,3]
In order to improve the the accuracy of orthorectifying satellite images thatcover covermountainous mountainousareas, areas,we we proposed proposed a new accuracy of orthorectifying satellite images that operational and accurate processing procedure by making full use of the mutually operational making use of the mutually compatible compatible and and complementary the the remote sensing image image preprocessing softwaresoftware products PCI with rational polynomial coefficients (RPC) model (PCI-RPC)
The test results show that the new image processing procedure which integrates PCI-RPC and ArcGIS-Spline Tools is operational and effective for improving the accuracy of image orthorectification by local geometric correction
Summary
With the development of remote sensing technology, the spatial resolution and spectral resolution of remote sensing images have been greatly improved, and application fields of remote sensing technology are expanding [1,2,3]. Given the fact that high resolution satellite images possess the characteristics of timeliness and authenticity, rapidly acquiring information, relatively low cost, no geographic restrictions, and abundant spatial information and texture information, etc., developing high resolution satellite. In the processing of high resolution satellite images, investigating orthorectification models of satellite imaging is their core content and a basis for high accurate orthorectification of remote sensing images [11]. This is because only if a mathematical model of satellite imaging is established can the mathematical relationship between three-dimensional spatial coordinates of ground control points (GCPs) and corresponding pixel coordinates of image points be reflected [12,13]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
