Please enter verification code
Comparison of Different Methods to Rectify IKONOS Imagery without Use of Sensor Viewing Geometry.
American Journal of Remote Sensing
Volume 2, Issue 3, June 2014, Pages: 15-19
Received: Sep. 16, 2014; Accepted: Oct. 6, 2014; Published: Oct. 20, 2014
Views 3180      Downloads 178
Oscar Rosario Belfiore, Department of Sciences and Technologies, University of Naples “Parthenope”, Naples, Italy
Claudio Parente, Department of Sciences and Technologies, University of Naples “Parthenope”, Naples, Italy
Article Tools
Follow on us
Satellite images can be rectified and adapted to map representation also without information about viewing geometry of the sensor. Polynomial Functions (PFs) or Rational Polynomial Functions (RPFs) can be applied for this purpose, both requiring Ground Control Points (GCPs), of which the positions in the image as well as in the real world must be known. Typically for PFs only planimetric (X, Y) positions of GCPs are used while for RPFs 3D coordinates (X, Y, Z) of them as well as a DEM (Digital Elevation Model) of the entire scene are required. Check Points (CPs) with the same characteristics of GCPs (but not coincident with them) are used to better verify the accuracy of the product. Not only topographic survey, but also maps or ortho-photos with adequate resolution supply the coordinates of GCPs as well as CPs. This paper is aimed to compare methods to rectify IKONOS images based on PFs or RPFs applications, considering the positional accuracy of the results as index for performance evaluation. Tests were executed on IKONOS panchromatic image of an area of the Cilento and Vallo di Diano National Park, in Campania Region (Italy): ortho-photos (scale 1:10,000) were used for GCPs and CPs planimetric position in the real world while for RPFs applications also DEM (cell size 20 m) was considered as source of 3D information. To compare the selected methods, differences (residuals) between the X, Y coordinates of GCPs (but also of the CPs) on the ortho-photos and corresponding values in the rectified image were calculated and evaluated. The positional accuracy of the resulting products in relation to the method as well as to the number of GCPs was analyzed; also the implications of the calculation of Rational Polynomial Coefficients (RPCs) in alternative to the use of the values supplied for them by the image provider were investigated.
IKONOS Satellite Imagery, Rectification, Polynomial Functions, Rational Polynomial Functions, Rational Polynomial Coefficients
To cite this article
Oscar Rosario Belfiore, Claudio Parente, Comparison of Different Methods to Rectify IKONOS Imagery without Use of Sensor Viewing Geometry., American Journal of Remote Sensing. Vol. 2, No. 3, 2014, pp. 15-19. doi: 10.11648/j.ajrs.20140203.11
Apollo Mapping - The Image Hunters, Overview & History - IKONOS specifications, 2014. Latest access 09/05/2014.
G. Dial, H. Bowen, F. Gerlach, J. Grodecki, R. Oleszczuk, “IKONOS satellite, imagery, and products,” Remote sensing of Environment, vol. 88, Issue 1, 2003, pp. 23-36.
M. Herold, J. Scepan, A. Müller and S. Günther, “Object oriented mapping and analysis of urban land use/cover using IKONOS data,” Proceedings of 22nd EARSEL Symposium “Geoinformation for European-wide integration”, Prague, June 2002.
I. Z. Gitas, C. G. Karydas and G. V. Kazakis, “Land cover mapping of Mediterranean landscapes, using SPOT4 Xi and IKONOS imagery – Preliminary investigation,” Options Mediterraneennes, Series B - n 46, 2003, pp. 27-41.
M. Basile Giannini, C. Parente, P. Maglione and R. Santamaria, “Cartography and Remote sensing for coastal erosion analysis,” Proceedings of Coastal Process II, 27-29 April, 2011, Naples, WIT Transactions on Ecology and the Environment, Editors: G. Benassai, C.A. Brebbia, and G. Rodriguez, WIT Press, ISBN: 978-1-84564-534-2, 2011, pp. 65-76.
A. Errico, F. Guastaferro, C. Parente and R. Santamaria, “Applications on geometric correction of different resolution satellite images,” in Proceedings of the IEEE GOLD Conference 2010, Livorno, Italy, 2010, on-line available: Latest access 09/05/2014.
E.P. Baltsavias, “Geometric transformations and registration of images, orthoimage generation and mosaicking,” Institute of Geodesy and Photogrammetry, ETHZ Zurich, 2000, on-line available: Latest access 09/05/2014.
T. Toutin, “Review Article: Geometric processing of remote sensing images: models, algorithms and methods,” International Journal of Remote Sensing, vol. 25, Issue 10, 2004, pp. 1893-1924.
E. A. Raabe and R. P. Stump, “ Image processing methods: Procedures in selection, registration, normalization and enhancement of satellite imagery in coastal wetlands,” Open-File Report 97-287, USGS, St. Petersburg, FL, 1997.
R. D. Eastman, J. Le Moigne and N. S. Netanyahu, “Research issues in image registration for remote sensing,” Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 2007, pp. 1-8.
I. Parcharidis, M. Foumelis, E. Papageorgiou, M. Segou and V. Sakkas, “Orthorectification and assessment of QuickBird imagery using D-GPS measurements over Paros urban area,” in Proceedings of the International Society for Photogrammetry and Remote Sensing 2005 Joint Conference, 2005.
I. Dowman and J. T. Dolloff, “An evaluation of rational functions for photogrammetric restitution,” International Archives of Photogrammetry and Remote Sensing 33. B3/1; PART 3, 2000, pp. 254-266.
C. V. Tao and Y. Hu, “A comprehensive study of the rational function model for photogrammetric processing,” Photogrammetric Engineering and Remote Sensing 67.12, 2001, pp. 1347-1358.
F. Guastaferro, P. Maglione and C. Parente, “Rectification of Spot 5 satellite imagery for Marine Geographic Information Systems,” in Proceedings of ARSA – Advanced Research in Scientific Areas, Virtual Conference, 2012, pp. 1649-1653.
R. C. Gonzalez and R. E. Woods, “Digital image processing,” Pearson Prentice Hall, Upper Saddle River, New Jersey 07458, 2002, pp. 65-68.
N. Levin, “Fundamentals of remote sensing,” 1st Hydrographic Data Management Course, IMO—International Maritime Academy, Trieste, 1999, pp. 85-86.
J. B. Campbell and R. H. Wynne, “Introduction to Remote Sensing - Fifth Edition,” THE GUILFORD PRESS, New York, 2011, pp. 321-324.
Parco Nazionale del Cilento, Vallo di Diano e Alburni, Area Protetta, 2014., Latest access 09/05/2014.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186