Method for calculating three-dimensional intersection angle of satellite images

Abstract

The invention belongs to the technical field of space-to-ground observation, and particularly discloses a method for calculating a three-dimensional intersection angle of satellite images. The method comprises the following steps of A, acquiring image point coordinates of same-name points of a three-dimensional satellite image pair by using a manual measurement or automatic satellite image matching method; B, implementing an RFM (rational function model)-based area network compensation method by utilizing the coordinates of the same-name points of the satellite images to realize the optimization of RPC (rational polynomial coefficient) parameters; C, calculating spatial rectangular coordinates corresponding to object-space points formed by projecting the same-name points onto projection surfaces at different elevations by using a projection trajectory method to finish the spatial reconstruction of same-name light; and D, calculating the three-dimensional intersection angle of the same-name light by utilizing direction vectors of the reconstructed same-name light. The method is applied to the calculation of the three-dimensional intersection angle of any three-dimensional model formed by overlapped satellite images without any ground control point, can be used for the mapping accuracy evaluation of the three-dimensional model, and has remarkable economic and social benefits.

Description

technical field [0001] The invention belongs to the technical field of space-to-earth observation, and in particular relates to a method for calculating the three-dimensional intersection angle of satellite images. The method can quickly calculate the intersection angle of a "generalized three-dimensional model" formed by overlapping satellite images, which is a three-dimensional model of satellite images. Accuracy estimation and selection utilization provide technical basis. Background technique [0002] In recent years, with the rapid development of earth observation technology, satellite remote sensing images have been revolutionaryly improved in terms of temporal resolution, spatial resolution and spectral resolution, especially spatial resolution. At present, high-resolution remote sensing satellites are constantly emerging. Optical remote sensing satellites include Ikonos, Quickbird, GeoEye, and WorldView, and SAR remote sensing satellites include TerraSAR-X, Cosmo-Sky...

AI Technical Summary

Problems solved by technology

For aerial images, the base height ratio can be directly used to estimate the stereo intersection angle, but for optical satellite images, multi-center projection imaging is generally used, and satellite image companies often do not provide various orbit orientation parameters required to construct strict geometric models. Therefore, the satellite image stereo intersection angle is often not available

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