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

Julien Michel, Emmanuelle Sarrazin, David Youssefi, M. Cournet, Fabrice Buffe, Jean-Marc Delvit, Aurélie Emilien, Julien Bosman, Olivier Melet, C. L’Helguen

2020ISPRS annals of the photogrammetry, remote sensing and spatial information sciences41 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Robustness (evolution)WorkflowScalabilityComputer sciencePipeline transportPipeline (software)Satellite imageryData miningReal-time computingArtificial intelligenceComputer visionRemote sensingDatabaseEngineeringGeologyBiochemistryEnvironmental engineeringProgramming languageChemistryGeneAdvanced Vision and ImagingSatellite Image Processing and PhotogrammetryRobotics and Sensor-Based Localization
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