Abstract
The evaluation of geometric accuracy of high-resolution satellite images (HRSIs) has been increasingly recognized in recent years. The traditional approach is to verify each satellite individually. It is difficult to directly compare the difference in their accuracy. In order to evaluate geometric accuracy for multiple satellite images based on the same ground control benchmark, a reliable test field in Xianning (China) was utilized for geometric accuracy validation of HRSIs. Our research team has obtained multiple HRSIs in the Xianning test field, such as SPOT-6, Pleaides, ALOS, ZY-3 and TH-1. In addition, ground control points (GCPs) were acquired with GPS by field surveying, which were used to select the significant feature area on the images. We assess the orientation accuracy of the HRSIs with the single image and stereo models. Within this study, the geometrical performance of multiple HRSIs was analyzed in detail, and the results of orientation are shown and discussed. As a result, it is feasible and necessary to establish such a geometric verification field to evaluate the geometric quality of multiple HRSIs.
Highlights
During the last decade, with the improvement of the resolution of high-resolution satellite images (HRSIs) (Table 1), whose geometric positioning capabilities have been gradually enhanced, the use of satellite images to produce large-scale topographic maps has become possible
4 ground control points (GCPs) located in each corner is recommended for HRSI
4 GCPs located in each corner is recommended for HRSI orientation
Summary
With the improvement of the resolution of HRSIs (Table 1), whose geometric positioning capabilities have been gradually enhanced, the use of satellite images to produce large-scale topographic maps has become possible. Due to the distinctive feature of high-precision positioning of HRSIs, as well as the stringent requirements of high accuracy and high reliability in mapping, establishing a high stability and long-term continuous-operation scientific testing base for remote sensing and mapping will have significance and practical value
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