Infrared radiation spectral characteristic simulation analysis method of movable target

Abstract

The invention discloses an infrared radiation spectral characteristic simulation analysis method of a movable target. The method comprises the following steps: firstly, carrying out three-dimensional geometric modeling on the movable target, and dividing the movable target according to regions; establishing a target temperature distribution model, and calculating the temperature of each point of the surface of the target under different observation angles; establishing an infrared atmospheric transmission model, and calculating atmospheric transmittance and atmospheric path radiation; setting parameters of a measurement system and the movable target; calculating radiation energy of an image space of the movable target by utilizing the established target temperature distribution model and infrared atmospheric transmission model; and finally, calculating infrared radiation energy of a point target and a plane target respectively, and drawing a corresponding radiation spectral curve. The method disclosed by the invention is simple, and considered factors are relatively comprehensive; and data can be provided for subsequent detection and tracking and identification of the target.

Description

technical field [0001] The invention belongs to the field of infrared radiation measurement, and more specifically relates to a method for simulating and analyzing infrared radiation spectral characteristics of a moving target. Background technique [0002] Spectral cube, also known as hyperspectral image data, obtains continuous spectral information of the target while obtaining the two-dimensional space image information of the target. The acquired data form a three-dimensional data set, which can be expressed in the form of data cube f(x, y, λ). Usually, the abscissa and ordinate of the image pixel are represented by x and y respectively, and the z axis is represented by the wavelength information λ of the spectrum. By making multi-dimensional slices on the spectral image cube, different types of spectral features can be obtained, such as spectral features at any pixel point, spectral changes in a certain spectral interval on any spatial profile line, and spatial images ...

AI Technical Summary

Problems solved by technology

However, in practice, it is often difficult to obtain the real radiation characteristics of some targets due to equipment limitations, the influence of detection conditions, and the high cost of spectral data acquisition. It is urgent to propose a method that can obtain the target radiation spectral curve and spectral cube. simple and effective method

[0004] At present, there are some studies on the analysis of the spectral characteristics of the target at home and abroad, but most of the existing research is based on the simulation of infrared images for stationary targets, and the target model is oversimplified in the analysis, and the temperature distribution of different parts of the target is simply calculated. average temperature treatment

In addition, the influence factor of the measured spectral data of the target under different observation solid angles is not considered, so that the calculated radiation data of the image square does not reflect the real situation to a large extent.

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