Journal
SENSORS
Volume 18, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/s18072121
Keywords
high resolution satellite images; test field; geometrical performance; evaluation; accuracy
Funding
- Key research and development program of Ministry of Science and Technology [2016YFB0500801, 2018YFB0504905]
- Quality improvement of Chinese satellite data and comprehensive application demonstration of Geology and mineral resources, National Natural Science Foundation of China [91538106, 41501503, 41601490, 41501383]
- China Postdoctoral Science Foundation [2015M582276]
- Hubei Provincial Natural Science Foundation of China [2015CFB330]
- Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing [15E02]
- Open Research Fund of State Key Laboratory of Geo-information Engineering [SKLGIE2015-Z-3-1]
- Fundamental Research Funds for the Central University [2042016kf0163]
- Special Fund for High Resolution Images Surveying and Mapping Application
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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.
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