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A Calculation Method of Stereographic Intersection Angle of Satellite Imagery

A technology of satellite images and calculation methods, applied in calculation, instrumentation, electrical digital data processing, etc., can solve the problems of not providing various orbit orientation parameters and not being able to obtain them, and shorten the data acquisition period. The method is simple, practical, convenient and reasonable Effects of selection and effective use

Active Publication Date: 2018-11-30
CCCC SECOND HIGHWAY CONSULTANTS CO LTD
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  • Application Information

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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  • A Calculation Method of Stereographic Intersection Angle of Satellite Imagery
  • A Calculation Method of Stereographic Intersection Angle of Satellite Imagery
  • A Calculation Method of Stereographic Intersection Angle of Satellite Imagery

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Embodiment 1

[0020] A method for calculating the stereo intersection angle of a satellite image, such as figure 1 As shown, each step is described in detail as follows:

[0021] Step 1: Acquire the image coordinates of the satellite image point with the same name, two methods can be used:

[0022] 1) Manual measurement: Manually interpret the points with the same image characteristics between satellite images, and use measurement tools to accurately obtain the real image coordinates (sample, line) of the points with the same name.

[0023] Or 2) Automatic matching: directly use satellite image automatic matching software, such as the Leica Photogrammetry Suite module of ERDAS Imagine software, to obtain the image coordinates of the same name point, and check it, delete the wrong matching points, and finally obtain the real image coordinates of the same name point in the satellite image (sample, line).

[0024] Step 2: Satellite Imagery RPC Parameter Optimization

[0025] Using the obtai...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 明洋陈楚江张霄余绍淮王丽园余飞
Owner CCCC SECOND HIGHWAY CONSULTANTS CO LTD
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