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Multi-camera data stitching method based on strict imaging model

A strict imaging model and data splicing technology, applied in the field of optical remote sensing satellite camera imaging, can solve the problems of noise and occlusion sensitivity, high dependence on image texture, high calculation cost, etc., and achieve poor stability, low resolution accuracy, and improved The effect of image width

Active Publication Date: 2019-04-30
SPACE STAR TECH CO LTD
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Problems solved by technology

The method based on image features extracts features such as image boundaries, contour lines, and inflection points for matching, constructs a system of equations, and obtains transformation parameters through numerical calculation. The disadvantage of this method is that it must rely on image features. If there is an error in the matching between them, the results obtained will also have a large error; secondly, the feature points are very sensitive to noise and occlusion, even if there are good feature points, they are often unable to calculate the alignment due to noise or occlusion
The method based on frequency domain matching uses the cross-correlation function to measure the similarity of two images. This method is simple and intuitive, but it is difficult to deal with the small-angle rotation and small scaling between images. At present, sub-pixel interpolation is more commonly used. method, but also to search the entire image space, computationally expensive and sensitive to image noise
[0004] In view of this, it is necessary to propose a multi-camera data stitching method based on a strict imaging model to achieve multi-camera stable High precision splicing

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Embodiment Construction

[0034] The present invention will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention are illustrated.

[0035] figure 1 A flowchart showing a multi-camera data stitching method based on a strict imaging model according to an embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0036] Step 101, according to the design parameters of at least two cameras, establish an ideal focal plane for multi-camera stitching.

[0037] In one embodiment, the establishment of the multi-camera stitching ideal focal plane according to the design parameters of at least two cameras includes: reading the multi-camera design parameters, the camera design parameters including the number of probes and the number of overlapping pixels , the total field of view, and the focal length of the camera; calculate the number of probes on the ideal focal plane according to the number of probes and t...

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Abstract

The present invention provides a multi-camera data splicing method based on a strict imaging model, wherein the method includes establishing an ideal focal plane for multi-camera splicing based on the design parameters of at least two cameras; according to the ideal splicing focal plane and ideal auxiliary parameters, Establish a strict imaging model after multi-camera stitching; establish a strict imaging model for each camera based on the real parameters; establish a forward and reverse calculation model between the image point and the ground point based on the strict imaging model of each camera; calculate the multi-camera stitching The image points on each camera corresponding to any image point on the image plane are resampled, and the spliced ​​image is output based on the ideal image plane after multi-camera splicing. The method proposed by the present invention can improve the splicing accuracy of multiple cameras and solve the problem of low splicing accuracy and poor stability of multi-camera splicing. After experimental verification, the splicing accuracy of this method is stable, not affected by image texture factors, and the splicing accuracy is high.

Description

technical field [0001] The invention relates to the field of optical remote sensing satellite camera imaging, in particular to a multi-camera data splicing method based on a strict imaging model. Background technique [0002] In the optical visible light remote sensing satellite imaging process, high resolution and wide field of view are still a pair of contradictions. At present, in order to ensure the acquisition of images with a higher spatial resolution and a certain width, the multi-chip TDICCD splicing method and the multi-camera splicing method are mostly used in the payload design. Among them, the multi-camera stitching process mostly uses the method based on feature point matching to process in the air domain or frequency domain. However, in remote sensing data engineering production, due to the low stability of the internal and external orientation elements of multiple cameras, the stitching accuracy is often not guaranteed. Remote sensing data generally use imag...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00G06T3/40
CPCG06T3/4038G06T3/14
Inventor 肖倩汪红强马灵霞陈科杰
Owner SPACE STAR TECH CO LTD
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