Comperative analysis of different geometric correction methods for very high resolution pleiades images

Hakan Kartal, Elif Sertel, Ugur Alganci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

This research aims to analyze geometric correction accuracy of empirical Rational Function Model (RFM), empirical Rational Polynomial Coefficient (RPC) Refinement Model and physical Toutin Model applied to Very High Resolution (VHR) Pleiades satellite images. Two different pilot regions located in Turkey with different topographic characteristics were selected and analysis were conducted for these regions using ground control points obtained from 1:5000 scale aerial ortho-photos. Further analysis was conducted to analyze positional accuracy of resulting images using independent check points collected from aerial ortho-photos and Google Earth separately. The Advanced Spaceborne Thermal Emission and Reflectance Radiometer Global Digital Elevation Model (ASTER GDEM) was used for all different geometric correction processes for both regions. The accuracy of each geometric correction model was presented by root mean square error (RMSE) metric. Results showed that first and second order RPC refinement models together with Toutin Model provided highly accurate results for both regions with RMSE between 3-6 meters while rational function model with three and four RPC's provided comparatively lower horizontal accuracy. Applying the rational function model with the 20 RPC's, generated from ground control points using PCI Geomatica, reduced the RMSE comparatively to a better level but increased the number of ground control points required to perform geometric correction with this model. Moreover, results indicated a possible effect of terrain structure and land use /cover types on the accuracy of geometric correction.

Original languageEnglish
Title of host publicationProceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017
EditorsM.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages171-175
Number of pages5
ISBN (Electronic)9781538616031
DOIs
Publication statusPublished - 4 Aug 2017
Event8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey
Duration: 19 Jun 201722 Jun 2017

Publication series

NameProceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017

Conference

Conference8th International Conference on Recent Advances in Space Technologies, RAST 2017
Country/TerritoryTurkey
CityIstanbul
Period19/06/1722/06/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

Authors acknowledge the support of Istanbul Technical University – Center for Satellite Communication and Remote Sensing (CSCRS) for providing the Pleiades 1A satellite images and General Commander of Mapping for providing ortho-photos.

FundersFunder number
CSCRS
Istanbul Technical University – Center for Satellite Communication and Remote Sensing

    Keywords

    • Emprical Model
    • Geometric Correction
    • Physical Model
    • Very High Resolution Satellite Image

    Fingerprint

    Dive into the research topics of 'Comperative analysis of different geometric correction methods for very high resolution pleiades images'. Together they form a unique fingerprint.

    Cite this