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Information Journal Paper

Title

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

Pages

  12-23

Abstract

 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 DEM s with the existing global elevation models. In this study, three image-driven DEM s 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 DEM s 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 DEM s 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% imp rovement using the programming.

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  • Cite

    APA: Copy

    Afsharnia, Hamed, & AREFI, HOSSEIN. (2019). A quality assessment on the DEM matching-based RPC bias correction. EARTH OBSERVATION AND GEOMATICS ENGINEERING, 3(2), 12-23. SID. https://sid.ir/paper/990331/en

    Vancouver: Copy

    Afsharnia Hamed, AREFI HOSSEIN. A quality assessment on the DEM matching-based RPC bias correction. EARTH OBSERVATION AND GEOMATICS ENGINEERING[Internet]. 2019;3(2):12-23. Available from: https://sid.ir/paper/990331/en

    IEEE: Copy

    Hamed Afsharnia, and HOSSEIN AREFI, “A quality assessment on the DEM matching-based RPC bias correction,” EARTH OBSERVATION AND GEOMATICS ENGINEERING, vol. 3, no. 2, pp. 12–23, 2019, [Online]. Available: https://sid.ir/paper/990331/en

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