Abstract
The quite recent availability of satellite stereo pairs allows users to extract three-dimensional data that can be used in different domain of applications, such as urban planning, energy, emergency management, etc. This research paper aims to extract digital surface models (DSM) from satellite stereo pairs acquired by three different satellites (Deimos-2, Pléiades-1 and WorldView-3) over the area of the city of Turin (Italy). The results are then assessed in term of geometric accuracy comparing them with a cadastral point height dataset, used as benchmark. The comparison, in terms of difference height values (between the DSM and the benchmark), is calculated on a set of sample points. Just two of the generated DSM guaranteed a high height accuracy level useful for the domain of application, such as existing cartography update, emergency management, building damage assessment, roof slope and solar incoming radiation assessment. Further developments will investigate different blending techniques and software that could provide more accurate results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Hu, F., Gao, X.M., Li, G.Y., Li, M.: DEM extraction from worldview-3 stereo-images and accuracy evaluation. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 2016, pp. 327–332 (2016)
Poon, J., Fraser, C.S., Chunsun, Z., Zhang, L.I., Gruen, A.: Quality assessment of digital surface models generated from ikonos imagery. Photogramm. Rec. 20(110), 162–171 (2005)
Aguilar, M.Á., et al.: DSM extraction from worldview.pdf. IEEE Trans. Geosci. Remote Sens. Gener. (2013)
Galileo, E., Imaging, S.L.U.: DEIMOS-2 Imagery User Guide (2015)
Airbus Defence & Space: Pléiades Spot the Detail, Geo-Intelligence Fact Sheet (2013). https://www.intelligence-airbusds.com/files/pmedia/public/r49228_9_pleiades_product.pdf
Codou, G., Cubero-Castan, E., Duverger, T., Mesnard, R., Tavera, F., Casserra, C.: Operational scheduling of direct tasking innovative concept to improve reactivity on earth observation system. In: SpaceOps 2016 Conference (2016)
Thompson, M., et al.: High resolution landcover modelling with pléiades imagery and DEM data in support of fine scale landscape thermal modelling. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-3/W2 (2017)
Blaschke, T.: Object based image analysis for remote sensing (2010)
Boccardo, P., Sandu, C., Ajmar, A., Perez, F.: Digital surface models extraction by Göktürk-1 satellite stereo pairs. In: 9th International Conference on Recent Advances in Space Technologies RAST (2019)
PCI: Geomatica OrthoEngine Pleiades 1A data – DEM extraction and DSM to DTM Conversion, pp. 1–12 (2013)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Mansueto, G., Boccardo, P., Ajmar, A. (2020). Satellite Stereo Data Comprehensive Benchmark for DSM Extraction. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12252. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_61
Download citation
DOI: https://doi.org/10.1007/978-3-030-58811-3_61
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58810-6
Online ISBN: 978-3-030-58811-3
eBook Packages: Computer ScienceComputer Science (R0)