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2024 | OriginalPaper | Buchkapitel

Research on the Reconstruction of Observational Geometry for Scanning Multispectral Image

verfasst von : Guanzhu Wang, Zhiqiang Pan, Haoping Zhang, Wenyong Yu

Erschienen in: Signal and Information Processing, Networking and Computers

Verlag: Springer Nature Singapore

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Abstract

Most of the scanning multispectral data from domestic land observation satellites only provide the imaging geometry of the scene center, missing the geometry of other pixels. This paper proposes a method for the reconstruction of observational geometry and verify the method using images with observational geometry. The result shows that the relative deviations of the reconstructed observation zenith and azimuth are less than 5%, combined with the Ross-Li BRDF model, it can significantly improve the accuracy of directional surface reflectance and of the calibration coefficients.

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Vorheriges Kapitel Image Radiation Processing of 5 m Optical 02 Satellite Infrared Camera Based on Orbital Alignment Technology

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Titel: Research on the Reconstruction of Observational Geometry for Scanning Multispectral Image
verfasst von: Guanzhu Wang
Zhiqiang Pan
Haoping Zhang
Wenyong Yu
Verlag: Springer Nature Singapore
Buch: Signal and Information Processing, Networking and Computers
Print ISBN: 978-981-9721-15-3

Electronic ISBN: 978-981-9721-16-0

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-2116-0_36