DBPapers
DOI: 10.5593/SGEM2016/B22/S10.125

QUALITY EVALUATION OF PLEIADES SATELIITE PRODUCTS – CASE STUDY WARSAW

K. Osinska-Skotak,S.Rozycki
Thursday 8 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-59-9 / ISSN 1314-2704, June 28 - July 6, 2016, Book2 Vol. 2, 979-986 pp

ABSTRACT

Pléiades-1A satellite is the first European very high resolution satellite and the first of
the Pléiades constellation satellites, which are designed to work in optical
electromagnetic spectrum, allowing obtaining the 50-cm colour products with daily
revisit. The assessment of geometric quality of distributed Pléiades-1A products was the first objective of the presented paper. The second objective was to evaluate the spectral and spatial quality of Pléiades pansharpen product. The ortho level product and the ortophotomap made based on Primary level product (1A) processed in PCI Geomatica 2013 software. Orthorectification of Pléiades-1A image was performed using RPF coefficients. As a result, the experiments proved that the accuracy of the analysed Ortho product, provided by the Pléiades-1A distributor, was 6.48 m (RMS), while the RMS of the orthoimage based on GCPs points reached 0.87 m. The spectral and spatial quality was evaluated for the pansharpened product and for images produced with the use of algorithms implemented in ERDAS Imagine, PCI Geomatica, ENVI and PHOTOMOD software packages. Among others, the correlation coefficient, as well as Deviation Per Pixel index, ERGASspectral, Q index and Average Laplacian Index were used for evaluation. As a result of analysing the Pléiades pansharpened product it was stated that this product is characterised by the high spectral and spatial quality. However, it is possible to obtain the pansharpened image of higher spatial quality – maintaining at the same time the high spectral quality – using the Zhang (PCI Geomatica Software) or Gram-Schmidt (ENVI software) algorithms.

Keywords: Pléiades, image fusion, spatial and spectral quality, orthorectification, RPC