ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 171–178, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-171-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 171–178, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-171-2020

  03 Aug 2020

03 Aug 2020

A NEW SATELLITE IMAGERY STEREO PIPELINE DESIGNED FOR SCALABILITY, ROBUSTNESS AND PERFORMANCE

J. Michel1, E. Sarrazin1, D. Youssefi1, M. Cournet1, F. Buffe1, J. M. Delvit1, A. Emilien2, J. Bosman2, O. Melet1, and C. L’Helguen1 J. Michel et al.
  • 1Centre National d’Etudes Spatiales (CNES), 18 avenue E. Belin, Toulouse cedex 9, France
  • 2CS, 5 rue Brindejonc des Moulinais, Toulouse Cedex 5, France

Keywords: Image processing, Photogrammetry, Stereovision, Digital Surface Model, High Performance Computing

Abstract. This paper presents a new Multiview Stereo Pipeline (MVS), called CARS, dedicated to satellite imagery. This pipeline is intended for massive Digital Surface Model (DSM) production and has therefore been designed to maximize scalability robustness and performance. Those two properties have driven the design of the workflow as well as the choice of algorithms and parameter trends, making our pipeline unique with respect to existing solutions in literature. This paper intends to serve as a reference paper for the pipeline implementation, and therefore provides a detailed description of algorithms and workflow. It also demonstrates the pipeline robustness and stability in several use cases, and compares its accuracy with the state-of-the-art pipelines on a reference dataset.