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Afsharnia, Hamed, Arefi, Hossein. (1398). A quality assessment on the DEM matching-based RPC bias correction. , 3(2), 12-23. doi: 10.22059/eoge.2020.286773.1059
Hamed Afsharnia; Hossein Arefi. "A quality assessment on the DEM matching-based RPC bias correction". , 3, 2, 1398, 12-23. doi: 10.22059/eoge.2020.286773.1059
Afsharnia, Hamed, Arefi, Hossein. (1398). 'A quality assessment on the DEM matching-based RPC bias correction', , 3(2), pp. 12-23. doi: 10.22059/eoge.2020.286773.1059
Afsharnia, Hamed, Arefi, Hossein. A quality assessment on the DEM matching-based RPC bias correction. , 1398; 3(2): 12-23. doi: 10.22059/eoge.2020.286773.1059

A quality assessment on the DEM matching-based RPC bias correction

Earth Observation and Geomatics Engineering
مقاله 2، دوره 3، شماره 2، اسفند 2019، صفحه 12-23    اصل مقاله (1.39 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22059/eoge.2020.286773.1059
نویسندگان
Hamed Afsharnia؛ Hossein Arefi*
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
چکیده
Rational polynomial coefficients delivered by satellite image vendors facilitate the geometric processing of images. However, compensating the inherent bias of these coefficients requires in-situ ground control collection. Existing global digital elevation models are an alternative for in-situ control data collection. In this regard, the well-known DEM matching technique can be applied for aligning the image-driven DEMs with the existing global elevation models. In this study, three image-driven DEMs were generated using a commercial programming application. The commercial software, similar to the majority of other software packages, performs epipolar resampling using vendor-provided RPCs before image matching. These generated DEMs were imported to the DEM matching technique and the estimated matching parameters were utilized for correcting the bias of RPCs on the ground. We showed that epipolar resampling with vendor-provided RPCs imposes some geometric distortions to the generated DEMs and therefore, estimated that DEM matching parameters cannot be employed for RPC bias correction. In two study areas, while the geopositioning accuracy after bias correction was improved 95.6% and 93.1% using the commercial software, we achieved 97.8% and 97.4% improvement using the programming.
کلیدواژه‌ها
Satellite stereo images؛ RPC bias correction؛ Digital Elevation Models؛ DEM matching
آمار
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