Method for measuring motion parameters of target in linear array image

Abstract

The invention provides a method for measuring motion parameters of a target by using optical images. The technical scheme is as follows: the method comprises the following steps of: (1) calibrating a linear array camera: acquiring inner azimuth elements and outer azimuth elements of the linear array camera; (2) determining an imaging model of the linear array camera: determining an imaging geometrical relationship between any point in a space and a corresponding imaged point of the point; and (3) calculating the motion parameters of a moving target: selecting at least five characteristic points from the moving target, obtaining a nonlinear equation on the motion parameters of the target by using the imaging geometrical relationship between the characteristic points and corresponding imaged points of the characteristic points, and obtaining the motion parameters of the target through equation solving. According to the method provided by the invention, the motion parameters of the moving target can be accurately measured.

Description

technical field [0001] The invention relates to the fields of photogrammetry and image processing, in particular to a method for measuring object motion parameters in line array images. Background technique [0002] The motion analysis and parameter measurement of targets in optical images are widely used in national defense early warning, traffic control and other fields, and have long been an important subject of long-term research in the fields of photogrammetry and image processing. In the detection, tracking and recognition of various moving objects, the measurement of moving parameters is a key content. [0003] At present, there are two main methods of measuring the motion parameters of the target using optical images: the first method is to continuously shoot the target to obtain the sequence images of the target motion, and calculate the distance of the target motion by calculating the distance of the target motion between adjacent image frames. Parameters such as ...

AI Technical Summary

Problems solved by technology

These two methods are based on the optical images acquired by the area array camera. The first method needs to process a large amount of data. Due to the limitation of the shooting frequency of the area array camera, in order to obtain the sequence image of the target, it is often necessary to set up multiple The camera is used for shooting, which increases the difficulty of camera calibration and layout

The second method needs to obtain the motion displacement of the target from the motion blur of the target, which has high requirements for the algorithm of feature extraction, and the accuracy is difficult to guarantee

At present, there is no research on the measurement method in this area

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