CN104732027B - A kind of simulation of infrared imaging method and system - Google Patents

A kind of simulation of infrared imaging method and system Download PDF

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CN104732027B
CN104732027B CN201510140760.7A CN201510140760A CN104732027B CN 104732027 B CN104732027 B CN 104732027B CN 201510140760 A CN201510140760 A CN 201510140760A CN 104732027 B CN104732027 B CN 104732027B
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infrared
imaging
imaging body
simulation
geometric pattern
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CN104732027A (en
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罗喜霜
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Beijing Runke General Technology Co Ltd
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Abstract

The application provides a kind of simulation of infrared imaging method and system, builds first by the solid geometric pattern of imaging body and infrared characteristic model;Then calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed to the infrared energy on infrared detector surface by imaging body;Calculated further according to the solid geometric pattern and the infrared energy and generate the infrared imaging projection for being characterized the infrared energy on optical receiver by imaging body.Not only independent of the optical component limited by technique, the dependence that statistical result is collected to experimental data can be reduced simultaneously, can be carried out according to the solid geometric pattern and infrared characteristic model simulation of infrared imaging process in line computation, and the infrared imaging for obtaining characterizing the infrared energy according to its result of calculation projects, solve the problems, such as that prior art is limited to technique limitation and experimental data amount.

Description

A kind of simulation of infrared imaging method and system
Technical field
The present invention relates to computer simulation technique field, more particularly to a kind of simulation of infrared imaging method and system.
Background technology
Simulation of infrared imaging method is mainly used in providing input for the anti-interference test of IRDS, while also extensive For providing input for Target Recognition Algorithms or the research of image processing algorithm scheduling algorithm.
Currently used simulation of infrared imaging method has:Physical effect simulation realizing method and digital simulation implementation method; Wherein physical effect simulation realizing method needs to use substantial amounts of optical component, is limited by technique, and cost is high, therefore digital mould Intend implementation method to be increasingly widely studied and apply.
And currently used digital simulation implementation method is the collection statistical result according to experimental data, build approximate red External characteristics digital distribution model, including thermal radiation property, environmental radiation characteristic, path radiation characteristic etc., this mode is limited to The size and cost of experimental data amount.
Therefore a kind of method that can flexibly realize simulation of infrared imaging emulation is lacked in the prior art, it is necessary to invent one kind Simulation of infrared imaging method and system, it is infrared acquisition Research on anti-interference technique, Research on Target Recognition Algorithms and image procossing etc. Every research work such as algorithm research provides good support platform.
The content of the invention
In view of this, the invention provides a kind of simulation of infrared imaging method and system, with solve prior art need by The problem of being limited to technique limitation and experimental data amount.
To achieve these goals, technical scheme provided in an embodiment of the present invention is as follows:
A kind of simulation of infrared imaging method, including:
Structure is by the solid geometric pattern of imaging body and infrared characteristic model;
The surface radiation that respectively formed by imaging body is calculated to infrared according to the solid geometric pattern and infrared characteristic model The infrared energy of detector surface;
Calculated and generated according to the solid geometric pattern and the infrared energy and described connect by imaging body in optics Receive the infrared imaging projection that the infrared energy is characterized on device.
Preferably, calculated and generated described by imaging body according to the solid geometric pattern and the infrared energy While the infrared imaging that the infrared energy is characterized on optical receiver projects, the simulation of infrared imaging method is also Including:
According to the aberration Dispersive spot radius of default optical system, the disperse to each subpoint in the edge by imaging body Circular projection's point imaging.
Preferably, in the aberration Dispersive spot radius according to default optical system, the edge by imaging body is respectively thrown While the blur circle subpoint imaging of shadow point, the simulation of infrared imaging method also includes:The infrared imaging is projected into Row noise is superimposed and Fuzzy processing.
Preferably, the described structure the step of solid geometric pattern of imaging body and infrared characteristic model, is included:
According to the geometric data by imaging body, multiple triangles, rectangle or water chestnut are decomposed into by imaging body by described Each composition face of shape composition, builds the solid geometric pattern by imaging body;
According to the infrared characteristic by imaging body, infrared characteristic parameter corresponding to addition, structure is described by imaging body Infrared characteristic model.
Preferably, calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed by imaging body To infrared detector surface infrared energy the step of include:
Itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environmental radiation, path spoke are calculated respectively Penetrate and transmittance of atmosphere;
Itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environmental radiation, path are radiated and big Gas transmittance is added summation.
Preferably, calculated and generated according to the solid geometric pattern and the infrared energy and described existed by imaging body The step of infrared imaging projection that the infrared energy is characterized on optical receiver, includes:
The plane where the optical receiver surface establishes coordinate system;
Each summit that face is respectively formed by imaging body is projected to the coordinate system, obtains each summit Corresponding coordinate;
Judge described respectively to be formed hiding relation of the face relative to plane where the optical receiver surface by imaging body;
It is determined that form all subpoints by each bar side of imaging body of projection;
The coordinate for all subpoints by each bar side of imaging body for forming projection is calculated, and each coordinate points are changed For the ranks index in image data matrix;
Surface radiation is respectively formed by imaging body be converted to phase by described to the infrared energy on the infrared detector surface The gray scale answered, and fill to corresponding perspective plane.
Preferably, projecting the step of carrying out noise superposition and Fuzzy processing to the infrared imaging includes:
It is superimposed by probability statistical distribution method analogue noise;
According to the parameter of optical system, construction generates the data pair that optical system transfer function changes with normalized frequency;
A low pass filter is designed using digital filter design method, makes its frequency response characteristic described with constructing The data that optical system transfer function changes with normalized frequency are to consistent;
Two dimensional filter is generated according to the one-dimensional low pass filter;
Space filtering is carried out to image data matrix according to convolution algorithm using the two dimensional filter.
A kind of simulation of infrared imaging system, including:
Model building module, for building by the solid geometric pattern of imaging body and infrared characteristic model;
Computing module, described respectively formed by imaging body for being calculated according to the solid geometric pattern and infrared characteristic model Infrared energy of the surface radiation to infrared detector surface;
Image-forming module, for calculated and generated according to the solid geometric pattern and the infrared energy it is described by into As body characterizes the infrared imaging projection of the infrared energy on optical receiver.
Preferably, the image-forming module is additionally operable to:According to the aberration Dispersive spot radius of default optical system, to the quilt The blur circle subpoint imaging of each subpoint in edge of imaging body.
Preferably, the image-forming module is additionally operable to:The infrared imaging is projected and carries out noise superposition and Fuzzy processing.
The application provides a kind of simulation of infrared imaging method, builds first by the solid geometric pattern of imaging body and infrared spy Property model;Then the surface radiation that respectively formed by imaging body is calculated to red according to the solid geometric pattern and infrared characteristic model The infrared energy on external detector surface;Calculate and generate further according to the solid geometric pattern and the infrared energy The infrared imaging projection for being characterized the infrared energy on optical receiver by imaging body.Not only independent of by work The optical component of skill limitation, while the dependence that statistical result is collected for experimental data can be reduced, can be according to described vertical What volume geometric model and infrared characteristic model carried out simulation of infrared imaging process obtains table in line computation, and according to its result of calculation The infrared imaging projection of the infrared energy is levied, prior art is solved and is limited to technique limitation and experimental data amount The problem of.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of simulation of infrared imaging method flow diagram that the embodiment of the present application provides;
Fig. 2 is a kind of partial process view for simulation of infrared imaging method that another embodiment of the application provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
The invention provides a kind of simulation of infrared imaging method, needs to be limited to technique limitation and reality to solve prior art The problem of testing data volume.
Specifically, as shown in figure 1, the simulation of infrared imaging method includes:
S101, structure are by the solid geometric pattern of imaging body and infrared characteristic model;
Specifically, according to the geometric data by imaging body, multiple triangles, square are decomposed into by imaging body by described Each composition face of shape or rhombus composition, builds the solid geometric pattern by imaging body;
According to the infrared characteristic by imaging body, infrared characteristic parameter corresponding to addition, structure is described by imaging body Infrared characteristic model.
Wherein, the geometric data can include the data such as shape, size.For circular interfering bodies, then can be decomposed into It is made up of a large amount of triangles small enough or quadrangular plan.
In specific application, by it is described multiple triangles, rectangle or rhombus are decomposed into by imaging body after, can be with Each plane is numbered, as unique mark;And a rectangular coordinate system can also be chosen, it is each to define each plane The coordinate on individual summit.
In addition, the infrared characteristic model of structure, the infrared characteristic parameter of addition, can include temperature, radiance, diffusing reflection Rate etc..
S102, calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed by imaging body arrived The infrared energy on infrared detector surface;
Specifically, itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environment spoke are calculated respectively Penetrate, path radiation, and transmittance of atmosphere;
Itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environmental radiation, path are radiated and big Gas transmittance is added summation.
Wherein, the calculation of object heat radiation itself is:According to the temperature by each plane of imaging body, it is right to calculate its The black body radiation energy answered, and be modified according to its radiance, diffusing reflection rate;
The calculation of solar radiation can establish change of the solar spectrum radiant illumination with wavelength by measured data of experiment Change model, wave band is then carried out to measured data of experiment (differentiation day and night) according to the infrared detector service band of setting Integration;
The calculation of environmental radiation is:The environmental radiation by imaging body surface can contemplate sky radiation, also may be used To establish variation model of the sky radiation energy with wavelength by measured data of experiment, then according to the infrared detector work of setting Make wave band and waveband integral is carried out to measured data of experiment (differentiation day and night);
Path radiation calculation be:The road by between imaging body and infrared detector is calculated according to priori formula Footpath radiates, priori formula be the relative distance by between imaging body and infrared detector, relative angle and it is described by into As the function of the relevant parameters such as body local environment temperature;
The calculation of transmittance of atmosphere is:In different conditions such as relative humidity, atmospheric temperature, visibility, sleety weathers Under, atmospheric transmission ratio is different, and interpolation mould of the transmittance of atmosphere with wavelength change can be established according to actual experiment measurement data Type calculates.
Complete after above-mentioned every radiation calculates, be added summation and can obtain and described the infrared detector is reached by imaging body The infrared energy on surface, namely radiant exitance.It is required for carrying out each step above by each plane of imaging body to described Rapid infra-red radiation calculates process.
S103, calculated according to the solid geometric pattern and the infrared energy and generate it is described by imaging body in light Learn the infrared imaging projection that the infrared energy is characterized on receiver.
Due to it is described by imaging body be solid geometry shape, and the imaging plane on optical receiver is two dimensional surface, Therefore need to carry out projection by imaging body by described.After obtaining infrared imaging projection, you can for follow-up equipment application, The infrared energy can be converted to electric signal and exported, input is provided for the anti-interference test of IRDS, Or input is provided for Target Recognition Algorithms or the research of image processing algorithm scheduling algorithm, it is convenient to carry out various algorithm performance researchs, Improve development efficiency.
The simulation of infrared imaging method, by above-mentioned steps, is not only limited independent of by technique disclosed in the present embodiment The optical component of system, while the dependence that statistical result is collected less than experimental data is reduced, can be according to the solid geometry Model and infrared characteristic model carry out simulation of infrared imaging process in line computation, and according to its result of calculation obtains sign The infrared imaging projection of infrared energy, solves that prior art is limited to technique limitation and experimental data amount is asked Topic.
Preferably, also include while step S103 is carried out:
According to the aberration Dispersive spot radius of default optical system, the disperse to each subpoint in the edge by imaging body Circular projection's point imaging.
The resulting two-dimensional image after the projection by imaging body is completed, exactly simulates arrival infrared acquisition The ideal image that the target and its background infrared radiation energy of system surfaces are formed after being received by optical receiver.
It is but the imaging due to actual optical system has compared the defects of various, such as aberration with preferable picture, i.e., actual Deviation between the location and shape and ideal image of image, the presence of aberration can cause the fuzzy of image, aberration numerical value it is big The small quality for reflecting optical system quality, in optical system, the type of aberration mainly has:Spherical aberration, coma, astigmatism, the curvature of field and Distortion etc..
Although the aberration of optical system is objective reality, and can correct.Because light energy receiver also has one Fixed limitation, when the aberration of optical system is small arrives certain numerical value, receiver also is difficult to discover, according to what is provided in engineering The calculation formula of several aberrations is understood, after optical system parameter determines, it is corresponding integrate aberration (spherical aberration, sagitta of arc coma, astigmatism, The synthesis of diffraction Airy disc) Dispersive spot radius is it was determined that therefore when simulation of infrared imaging is realized, for description optical system effect Should, can be using the aberration Dispersive spot radius of optical system as an input parameter, backstage algorithm with simulated optical receiver effect According to the aberration Dispersive spot radius of setting, its blur circle subpoint is imaged while imaging to each subpoint of object edge, then The fuzzy of the image border as caused by optical aberration can be simulated.
Preferably, it is each to the edge by imaging body in the aberration Dispersive spot radius according to default optical system The step of blur circle subpoint imaging of subpoint, also includes simultaneously:The infrared imaging is projected and carries out noise superposition and obscures Change is handled.
Generally, when infrared energy is converted to electric signal by infrared detector, exist picture noise pollution and Image Fuzzy Influence, it is therefore desirable to noise superposition and Fuzzy processing are carried out to image, with analog prober effect.
Specifically, projecting the step of carrying out noise superposition and Fuzzy processing to the infrared imaging includes:
It is superimposed by probability statistical distribution method analogue noise;
According to the parameter of optical system, construction generates the data pair that optical system transfer function changes with normalized frequency;
A low pass filter is designed using digital filter design method, makes its frequency response characteristic described with constructing The data that optical system transfer function changes with normalized frequency are to consistent;
Two dimensional filter is generated according to the one-dimensional low pass filter;
Space filtering is carried out to image data matrix according to convolution algorithm using the two dimensional filter.
Another embodiment of the present invention additionally provides another simulation of infrared imaging method, as shown in figure 1, including:
S101, structure are by the solid geometric pattern of imaging body and infrared characteristic model;
S102, calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed by imaging body arrived The infrared energy on infrared detector surface;
S103, calculated according to the solid geometric pattern and the infrared energy and generate it is described by imaging body in light Learn the infrared imaging projection that the infrared energy is characterized on receiver.
Step S103 in the present embodiment, as shown in Fig. 2 specifically including:
S301, the plane where the optical receiver surface establish coordinate system;
S302, each summit that face is respectively formed by imaging body projected to the coordinate system, obtained described each The corresponding coordinate in individual summit;
Assuming that x-axis of the plane where the optical receiver surface perpendicular to former rectangular coordinate system, certain point is sat at former right angle Coordinate be (x, y, z) in mark system, the optical receiver surface the coordinate of coordinate system in the plane be (y ', z '), root According to triangle relation, have:
ThenWherein, angles of the θ between the point and x-axis, f are focal length,
Focal length f calculating is determined by the size and angle of visual field size of imaging plane.
S303, judge that pass is blocked in the face that respectively formed by imaging body relative to plane where the optical receiver surface System;
Specifically, during projection, there is mutual hiding relation, it is necessary to which which judges between each composition face by imaging body Perspective plane is blocked in the projected, if be blocked, without projection imaging.
Judgment criterion:In space line-of-sight coordinate system, each summit order in each face is defined clockwise by normal, Preceding 3 summits are taken to project to imaging plane, if the order on 3 summits is counterclockwise, the plane in the projected will be by Block.
S304, determine to form all subpoints by each bar side of imaging body of projection;
These above-mentioned subpoints are the edge of projection after projection.
S305, the coordinate for calculating all subpoints by each bar side of imaging body for forming projection, and by each coordinate Point is converted to the ranks index in image data matrix;
On imaging plane, coordinate (y corresponding to the ranks index (i, j) of each pointi,zj) can be obtained with calculated in advance, if The coordinate of some subpoint is (yi,zj), cycle criterion y ' and yjDifference, must if both differences are less than a pixel step length To corresponding column index j, in kind judge to obtain line index i.
For example, it is assumed that image size is 512*512 matrixes, that is, 512 rows and 512 row, then corresponding N values are 512.
S306, the surface radiation that respectively formed by imaging body changed to the infrared energy on the infrared detector surface For corresponding gray scale, and fill to corresponding perspective plane.
Step S102 be calculated be each projection point infrared energy, i.e. radiant exitance is infrared Radiant exitance is typically converted into gradation of image in Imaging Simulation method.Usual gradation of image span is 0-255, After calculating each point radiant exitance, minimum value and maximum are extracted, by between linear transformation relation transformation to 0-255.
Assuming that the temperature in each plane is identical, radiation coefficient is identical, i.e., gray value is identical, then can be complete by filling mode Into the imaging of whole plane.
Another digital simulation implementation method in the prior art also be present is to use professional infrared imaging software module such as Vega infrared module etc. realizes that this mode is limited to the closure of business software, can not flexibly not expand it is various it is infrared into As analog simulation.
And the infrared imaging module in Vega, although also being modeled using measured data of experiment and being managed by infrared imaging principle The method that is combined being calculated by formula and realizes simulation of infrared imaging, but in order to improve simulation efficiency, the software is by theoretical formula Computationally intensive part calculated in advance, and result of calculation is stored in a multidimensional data form in advance, in imaging simulation mistake Cheng Zhong, interpolation is indexed from multidimensional data form according to currently practical condition and obtains corresponding numerical value, calculated so as to reduce Amount, improve simulation velocity, but such method, it is impossible to various physical conditions in simulation process are preferably taken into account, for example, software thing First assume various possible conditions, including 3 kinds of different distance, different angle, different temperatures conditions, calculated in advance this 3 kinds of conditions are not With the infra-red radiation under combined situation, it is stored in 3-dimensional data form, during imaging simulation, software is according to currently practical Actual range, relative angle, local environment temperature between condition, i.e. target and imaging detector etc., from 3-dimensional data form It is indexed interpolation and obtains corresponding infra-red radiation numerical value, in this case, target is if high-speed flight, due to the meeting that rubs Cause surface temperature different, then body radiation is different from surface temperature set in advance, therefore thus caused influence is then It can not consider.
And the simulation of infrared imaging method in the present embodiment, it is frequent according to practical object for needing by above-mentioned steps Change the link of parameter, calculated by mathematical theory and its correction formula, the multiple processing calculated by projection walk Suddenly, the influence of various physical conditions can be taken into account as far as possible, ensure in the motion process by imaging body different distances, In the case of attitudes vibration, correctly can project on imaging plane, so as to flexibly realize to various different shapes, temperature, And its simulation of movement characteristic, realistically realize and simulation of infrared imaging is emulated.
Another embodiment of the present invention additionally provides a kind of simulation of infrared imaging system, including:Model building module, calculate mould Block, and image-forming module.
Specifically operation principle is:
The model building module structure is by the solid geometric pattern of imaging body and infrared characteristic model;The computing module Calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed to infrared detector table by imaging body The infrared energy in face;The image-forming module is calculated and generated according to the solid geometric pattern and the infrared energy The infrared imaging projection for being characterized the infrared energy on optical receiver by imaging body.
The simulation of infrared imaging system disclosed in the present embodiment, by the course of work of above three module, not only not Dependent on the optical component limited by technique, while reduce the dependence that statistical result is collected for experimental data, Neng Gougen Being tied in line computation, and according to its calculating for simulation of infrared imaging process is carried out according to the solid geometric pattern and infrared characteristic model Fruit obtains characterizing the infrared imaging projection of the infrared energy, solves prior art and is limited to technique limitation and reality The problem of testing data volume.
Preferably, the image-forming module is additionally operable to:According to the aberration Dispersive spot radius of default optical system, to the quilt The blur circle subpoint imaging of each subpoint in edge of imaging body.
The resulting two-dimensional image after the image-forming module completes the projection by imaging body, is exactly simulated The ideal that the target and its background infrared radiation energy on arrival IRDS surface are formed after being received by optical receiver Image.
But because the aberration of optical system is objective reality, after optical system parameter determines, corresponding comprehensive aberration (spherical aberration, sagitta of arc coma, astigmatism, the synthesis of diffraction Airy disc) Dispersive spot radius is it was determined that therefore real in simulation of infrared imaging Now, to describe optical system effect, simulated optical receiver effect can be using the aberration Dispersive spot radius of optical system as one Individual input parameter, the image-forming module is according to the aberration Dispersive spot radius of setting, while imaging to each subpoint of object edge Its blur circle subpoint is imaged, then can simulate the fuzzy of the image border as caused by optical aberration.
Preferably, the image-forming module is additionally operable to:The infrared imaging is projected and carries out noise superposition and Fuzzy processing.
Generally, when infrared energy is converted to electric signal by infrared detector, exist picture noise pollution and Image Fuzzy Influence, therefore the image-forming module needs to carry out noise superposition and Fuzzy processing to image, with analog prober Effect.
Specific operation principle is same as the previously described embodiments, and here is omitted.
Each embodiment is described by the way of progressive in the present invention, and what each embodiment stressed is and other realities Apply the difference of example, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment Speech, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part illustration .
It the above is only the preferred embodiment of the present invention, make skilled artisans appreciate that or realizing of the invention.It is right A variety of modifications of these embodiments will be apparent to one skilled in the art, as defined herein general former Reason can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention will not Be intended to be limited to the embodiments shown herein, and be to fit to it is consistent with principles disclosed herein and features of novelty most Wide scope.

Claims (9)

  1. A kind of 1. simulation of infrared imaging method, it is characterised in that including:
    Structure is by the solid geometric pattern of imaging body and infrared characteristic model;
    Calculated according to the solid geometric pattern and infrared characteristic model and described surface radiation is respectively formed to infrared acquisition by imaging body The infrared energy on device surface;
    Calculated according to the solid geometric pattern and the infrared energy and generate it is described by imaging body in optical receiver The upper infrared imaging projection for characterizing the infrared energy;
    Wherein, it is described calculated according to the solid geometric pattern and the infrared energy and generate it is described by imaging body in light The step of learning the infrared imaging projection that the infrared energy is characterized on receiver includes:
    The plane where the optical receiver surface establishes coordinate system;
    Each summit that face is respectively formed by imaging body is projected to the coordinate system, it is relative to obtain each summit The coordinate answered;
    Judge described respectively to be formed hiding relation of the face relative to plane where the optical receiver surface by imaging body;
    It is determined that form all subpoints by each bar side of imaging body of projection;
    The coordinate for all subpoints by each bar side of imaging body for forming projection is calculated, and each coordinate points are converted into figure As the ranks index in data matrix;
    Surface radiation is respectively formed by imaging body be converted to described accordingly to the infrared energy on the infrared detector surface Gray scale, and fill to corresponding perspective plane.
  2. 2. simulation of infrared imaging method according to claim 1, it is characterised in that according to the solid geometric pattern and The infrared energy is calculated and generated described is characterized the red of the infrared energy by imaging body on optical receiver While outer projection, the simulation of infrared imaging method also includes:
    According to the aberration Dispersive spot radius of default optical system, the blur circle of each subpoint in the edge by imaging body is thrown Shadow point is imaged.
  3. 3. simulation of infrared imaging method according to claim 2, it is characterised in that in the picture according to default optical system Poor Dispersive spot radius, while imaging to the blur circle subpoint of each subpoint in the edge by imaging body, it is described it is infrared into As analogy method also includes:The infrared imaging is projected and carries out noise superposition and Fuzzy processing.
  4. 4. simulation of infrared imaging method according to claim 1, it is characterised in that the structure is by the three-dimensional several of imaging body The step of what model and infrared characteristic model, includes:
    According to the geometric data by imaging body, multiple triangles, rectangle or rhombus group are decomposed into by imaging body by described Into each composition face, build the solid geometric pattern by imaging body;
    According to the infrared characteristic by imaging body, infrared characteristic parameter corresponding to addition, build described by the infrared of imaging body Characteristic model.
  5. 5. simulation of infrared imaging method according to claim 1, it is characterised in that according to the solid geometric pattern and red External characteristics model calculate it is described respectively formed by imaging body surface radiation to infrared detector surface infrared energy the step of wrap Include:
    Calculate respectively itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environmental radiation, path radiation and Transmittance of atmosphere;
    It is saturating to itself heat radiation of the object that face is respectively formed by imaging body, solar radiation, environmental radiation, path radiation and air Penetrate and summed than being added.
  6. 6. simulation of infrared imaging method according to claim 3, it is characterised in that made an uproar to infrared imaging projection The step of sound superposition and Fuzzy processing, includes:
    It is superimposed by probability statistical distribution method analogue noise;
    According to the parameter of optical system, construction generates the data pair that optical system transfer function changes with normalized frequency;
    A low pass filter is designed using digital filter design method, makes its frequency response characteristic and the optics of construction The data that ssystem transfer function changes with normalized frequency are to consistent;
    Two dimensional filter is generated according to the one-dimensional low pass filter;
    Space filtering is carried out to image data matrix according to convolution algorithm using the two dimensional filter.
  7. A kind of 7. simulation of infrared imaging system, it is characterised in that including:
    Model building module, for building by the solid geometric pattern of imaging body and infrared characteristic model;
    Computing module, described face spoke is respectively formed by imaging body for being calculated according to the solid geometric pattern and infrared characteristic model It is mapped to the infrared energy on infrared detector surface;
    Image-forming module, for being calculated and being generated described by imaging body according to the solid geometric pattern and the infrared energy The infrared imaging projection of the infrared energy is characterized on optical receiver;
    Wherein, the image-forming module is used to be calculated and described in generating according to the solid geometric pattern and the infrared energy By imaging body when the infrared imaging that the infrared energy is characterized on optical receiver projects, it is specifically used for:
    The plane where the optical receiver surface establishes coordinate system;
    Each summit that face is respectively formed by imaging body is projected to the coordinate system, it is relative to obtain each summit The coordinate answered;
    Judge described respectively to be formed hiding relation of the face relative to plane where the optical receiver surface by imaging body;
    It is determined that form all subpoints by each bar side of imaging body of projection;
    The coordinate for all subpoints by each bar side of imaging body for forming projection is calculated, and each coordinate points are converted into figure As the ranks index in data matrix;
    Surface radiation is respectively formed by imaging body be converted to described accordingly to the infrared energy on the infrared detector surface Gray scale, and fill to corresponding perspective plane.
  8. 8. simulation of infrared imaging system according to claim 7, it is characterised in that the image-forming module is additionally operable to:According to The aberration Dispersive spot radius of default optical system, to the blur circle subpoint of each subpoint in the edge by imaging body into Picture.
  9. 9. simulation of infrared imaging system according to claim 8, it is characterised in that the image-forming module is additionally operable to:To institute State infrared imaging projection and carry out noise superposition and Fuzzy processing.
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