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Declassified Historical Satellite Imagery from 1960s and Geometric Positioning Evaluation in Shanghai, China

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Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 482))

Abstract

The historical satellite imagery obtained by US since 1960s is of great significance for monitoring ecological environment changes and its sustainable development. Since 1995, US has declassified the following three batches of satellite imagery (Declassified Intelligence Satellite Photographs, DISP): DISP-1 in 1995, including the first reconnaissance satellite imagery CORONA, ARGON and LANYARD; DISP-2 in 2002, mainly GAMBIT satellite imagery and HEXAGON cartographic satellite imagery; DISP-3 from 2011, metadata (satellite imagery excluded) of GAMBIT, GAMBIT 3 and HEXAGON project information. This paper first presents in detail the declassified data, related plans, parameters and their coverages in China. To make full use of the imagery, we conducted geometric positioning analysis. With the satellite orbit parameters and other necessary parameters unavailable, we discussed geometric correction methods with KH-4B imagery covering Shanghai in 1970s as an example and came to the conclusion that the three order polynomial correction method is the most optimal. The mosaic map has also been generated, providing a basis for further application of the imagery.

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Mi, H., Qiao, G., Li, T., Qiao, S. (2015). Declassified Historical Satellite Imagery from 1960s and Geometric Positioning Evaluation in Shanghai, China. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_29

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  • DOI: https://doi.org/10.1007/978-3-662-45737-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45736-8

  • Online ISBN: 978-3-662-45737-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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