Automatic and precise orthorectification of SPOT images

doi:10.1017/CBO9780511777684.020

19 - Automatic and precise orthorectification of SPOT images

from PART IV - Applications and Operational Systems

Published online by Cambridge University Press: 03 May 2011

Simon Baillarin ,

Aurélie Bouillon and

Marc Bernard

Edited by

Jacqueline Le Moigne ,

Nathan S. Netanyahu and

Roger D. Eastman

Show author details

Simon Baillarin: Affiliation:
CNES (Centre National d'Etudes Spatiales), France
Aurélie Bouillon: Affiliation:
IGN (Institut Géographique National), France
Marc Bernard: Affiliation:
Spot Image, France
Jacqueline Le Moigne: Affiliation:
NASA-Goddard Space Flight Center
Nathan S. Netanyahu: Affiliation:
Bar-Ilan University, Israel and University of Maryland, College Park
Roger D. Eastman: Affiliation:
Loyola University Maryland

Book contents

Get access

Summary

Abstract

Following the SPOT-5 launch, Spot Image and the French National Geographic Institute (IGN) have designed a high-accuracy worldwide database called Reference3D™ using data from the High Resolution Stereoscopic (HRS) SPOT-5 instrument. This database consists of three information layers: A Digital Elevation Model (DEM) at 50-m resolution, ortho-images at 5-m resolution, and quality masks with a circular horizontal accuracy better than 16 m for 90% of the points and an elevation accuracy better than 10 m for 90% of the points. A new system (called ANDORRE) was also developed to archive the Reference3D™ database and to automatically produce orthorectified images using Reference3D™ data. ANDORRE takes advantage of Reference3D™ horizontal and vertical accuracies to automatically register and rectify an image from any SPOT satellite in every area where Reference3D™ data are available. This chapter presents the automatic orthorectification algorithm, developed under the CNES (French Space Agency) leadership, that is composed of three main steps: (1) Generation of a reference image (in focal plane geometry) using Reference3D™ orthoimage and DEM layers, (2) modeling of the misregistration between the reference image and the SPOT image to be processed, and (3) resampling of the image into a cartographic reference frame. It also describes the geometric performance measured on operational cases involving different landscapes, DEM data, and image resolutions. Timing measurements show that the rectification of a 24,000 × 24,000 image can be performed in less than an hour.

Type: Chapter
Information: Image Registration for Remote Sensing , pp. 415 - 425

DOI: https://doi.org/10.1017/CBO9780511777684.020 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

References

Airault, S., Gigord, P., Breton, E., Bouillon, A., Gachet, R., and Bernard, M. (2003). Reference3D™ location performance review and prospects. In Proceedings of the International Society for Photogrammetry and Remote Sensing Workshop on High Resolution Mapping from Space, Hannover, Germany, CD-ROM, 5 pp., pagination unknown.Google Scholar

,ANDORRE: Instant automatic orthorectification. http://www.spotimage.fr/andorre.html.

Baillarin, S., Bouillon, A., Bernard, M., and Chikhi, M. (2005). Using a three dimensional spatial database to orthorectify automatically remote sensing images. In Proceedings of the International Society for Photogrammetry and Remote Sensing Workshop on Service and Application of Special Data Infrastructure, Hangzhou, China, XXXVI (4/W6), pp. 89–94.Google Scholar

Baillarin, S., Gleyzes, J. P., Bouillon, A., Breton, E., Cunin, L., Vesco, C., and Delvit, J. M. (2004). Validation of an automatic image ortho-rectification processing. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Anchorage, AK, Vol. 2, pp. 1398–1401.Google Scholar

Bouillon, A., Bernard, M., Gigord, P., Orsoni, A., Rudowski, V., and Baudoin, A. (2006). SPOT 5 HRS geometric performances: Using block adjustement as a key issue to improve quality in DEM generation. ISPRS Journal of Photogrammetry and Remote Sensing, 60(3), 134–146.CrossRef Google Scholar

Bouillon, A., Breton, E., Lussy, F., and Gachet, R. (2003). SPOT5 geometric image quality. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, Vol. 1, pp. 303–305.Google Scholar

Datcu, M. and Seidel, K. (1994). Fractal and multiresolution techniques for the understanding of Geo-information. In Proceedings of the Joint European Union/European Association of Remote Sensing Laboratories Expert Meeting on Fractals in Geoscience and Remote Sensing, Ispra, Italy, pp. 56–87.

Mangolini, M. and Cunin, L. (2002). ANDORRE: Une innovation majeure pour la production automatisée d'ortho-images, Géo Evenement 2002, Paris, France.Google Scholar