CN103440389B - Based on infrared camouflage effect emulation system and the appraisal procedure of full link - Google Patents
Based on infrared camouflage effect emulation system and the appraisal procedure of full link Download PDFInfo
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Abstract
The invention discloses a kind of infrared camouflage effect emulation system based on full link and appraisal procedure, system comprises target simulator module, background simulation module, environmental simulation module, transducer emulation module and camouflage effectiveness synthesis of artificial five modules.Method of the present invention comprises the steps: (1) target simulator; (2) background simulation; (3) atmospheric effect emulation; (4) sensor effect emulation; (5) camouflage effectiveness emulation; (6) camouflage effectiveness assessment.Analogue system of the present invention is full link simulation, avoids the untrue incomplete shortcoming of existing emulation technology, has the advantage that emulation is truer more complete.Appraisal procedure of the present invention carries out camouflage effectiveness assessment based on full link simulation results, avoids in prior art the shortcoming needing field trial, has the advantage of assessment camouflage effectiveness quickly and easily.
Description
Technical field
The invention belongs to electronic technology field, further relate to electro-optical system emulation and a kind of infrared camouflage effect emulation system based on full link in assessment technology field and appraisal procedure.System of the present invention can be used for carrying out more completely emulating more really to the infrared camouflage effect of camouflaged target, and method of the present invention can be used for the camouflage effectiveness easily and accurately assessing camouflaged target.
Background technology
Infrared imaging sensor has been widely used in modern weapons equipment, and how to carry out engineering camouflage for different infrared imaging sensors is modern camouflage problem to be solved.Solve this problem must carry out proving to camouflage equipment from on-the-spot tactical qualities aspect and test, obtain the image of infrared imaging sensor perception camouflaged target and background, and carry out objective and accurate assessment.
At present, the existing method for pretending demonstration and test assessment has the radiation characteristic of camouflaged target, geometrical property and spectral characteristic evaluation method, the method for evaluating similarity of camouflaged target and background image, based on the camouflage effectiveness appraisal procedure etc. of characteristics of image, these methods are all that the data and image that gather according to field trial are to carry out camouflage effectiveness assessment, mainly rest on the visual of camouflage test and effect assessment stage, lessly effectively to contact with towards the imaging reconnaissance system performance of human eye vision and the Imaging Guidance system performance of Machine oriented vision, camouflage equipment cannot be assessed by accurate quantitative analysis, can military equipment and position effectively tackle the attack performance of enemy's scouting and precision guided weapon in certain circumstances.
Usually carry out field trial and will consume a large amount of manpower and materials, stability and repeatability poor, larger by weather effect, and utilize computing machine to build emulation platform can the camouflage effectiveness of simulation objectives under different environment and different sensor effects, can realize in laboratory conditions, convenient and swift, save man power and material.
Patented technology " a kind of all-digital simulation system for infrared imaging system and emulation mode thereof " (number of patent application 201110115863.X, Authorization Notice No. CN102184288B) that BJ University of Aeronautics & Astronautics has discloses a kind of all-digital simulation system for infrared imaging system and emulation mode thereof.This analogue system is made up of emulation platform, simulated members storehouse, artificial intelligence table, multiple simulated members and emulates client, emulation mode specifically builds and registers simulated members, then simulation process is configured, carry out emulation according to simulation process to simulated members by emulation platform again to advance, and after having emulated, Performance Evaluation is carried out to emulated system.This invention completes the fast construction to infrared imaging system virtual prototype by the simulated members developed, and can realize that single subsystem independently emulates, the distributed collaboration emulation of multiple subsystem associative simulation and whole virtual prototype.This analogue system can compatible multiclass infrared imaging system, is a kind of general realistic model, has simulation framework open flexibly.The deficiency that this patented technology exists is: the system of only carrying out complete modeling and simulating for infrared imaging system, when being acted on camouflage of target effect assessment, do not comprise the subsystem of the destination object of infrared imaging system effect and surrounding environment being carried out to modeling and simulating, emulation link is imperfect.
Patented technology " the target simulator method for electro-optic theodolite " (number of patent application 200310115502.0, Authorization Notice No. CN100443859C) that Photoelectric Technology Inst., Chinese Academy of Sciences has discloses a kind of method that can simultaneously emulate to generate combination picture to target property and background characteristics.The method can emulate target trajectory, target property and background simultaneously, simulation result is delivered to the generation that target image synthesis module completes entire image, the image finally generated is delivered to the TV image processing system of electro-optic theodolite, the television image system of comprehensive driving electro-optic theodolite, computer data processing system and tracking control system, make instrument follow the tracks of simulation objectives.The method can complete the indoor uniting and adjustment of electro-optic theodolite fast imperfectly, school, outfield flies and training, is suitable for the target emulating various different motion characteristic sum imaging features.The deficiency that this patented technology exists is: target property emulation module only emulates the imaging size of target in final image, grey-level and shape distribution, and can not emulate the texture information of target, simulation result is still true not.
Summary of the invention
The object of the invention is to overcome above-mentioned the deficiencies in the prior art, propose a kind of infrared camouflage effect emulation system based on full link and appraisal procedure.This system can realize full link simulation, emulates camouflage effectiveness more truly.The method realizes recruitment evaluation based on full link simulation results, the performance of the camouflage effectiveness of target with surrounding environment and infrared imaging sensor is connected, can the camouflage effectiveness of convenient assessment objective exactly.
To achieve these goals, analogue system of the present invention comprises five modules: target simulator module, background simulation module, environmental simulation module, transducer emulation module and camouflage effectiveness synthesis of artificial module; Described target simulator module, background simulation module, environmental simulation module, transducer emulation module, camouflage effectiveness synthesis of artificial module are connected by bus.
Target simulator module comprises geometric model emulation module and target texture emulation module; Described geometric model emulation module is for setting up the geometric model of target, and target texture emulation module is used for carrying out texture generation and texture according to gathered target image, exports target simulator figure.
Background simulation module comprises geometric model emulation module and background texture emulation module; Described geometric model emulation module is for setting up the geometric model of background, and background texture emulation module is used for carrying out texture generation and texture according to gathered background image, exports background simulation figure.
Environmental simulation module, for according to gathered atmospheric environmental parameters emulation atmospheric environment, exports air data texturing.
Transducer emulation module comprises signal response emulation module, sampling effect emulation module, Spatial Filtering Effect emulation module and noise effect emulation module; Described signal response emulation module is used for the signal response according to gathered sensor parameters simulated sensor, sampling effect emulation module is used for the sampling effect according to gathered sensor parameters simulated sensor, Spatial Filtering Effect emulation module is used for the Spatial Filtering Effect according to gathered sensor parameters simulated sensor, noise effect emulation module is used for the noise effect according to gathered sensor parameters simulated sensor, output transducer data texturing.
Camouflage effectiveness synthesis of artificial module, for the result according to target simulator module, background simulation module, environmental simulation module and transducer emulation module, synthesis of artificial camouflage effectiveness, exports camouflage effectiveness analogous diagram.
To achieve these goals, appraisal procedure of the present invention comprises the steps:
(1) target simulator:
1a) use the visible images of collected by camera camouflaged target;
Infrared thermoviewer 1b) is used to gather the infrared image of camouflaged target;
Infrared thermometer 1c) is used to gather the temperature data of camouflaged target;
Geometric model emulation module in 1d) target simulator module, selects the model be consistent with target geometry to be emulated, utilizes D modeling tool to set up the geometric model of target from three-dimensional modeling data storehouse;
Target texture emulation module in 1e) target simulator module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered camouflaged target, utilize image inversion technique to carry out image inverting to the infrared image of gathered camouflaged target, obtain the infrared texture data of target;
1f) target texture emulation module utilizes mapping technology, by the infrared texture data-mapping of target on target geometric model, generates complete target simulator figure.
(2) background simulation:
2a) use the visible images of collected by camera background;
Thermal infrared imager 2b) is used to gather the infrared image of background;
Infrared thermometer 2c) is used to gather the temperature data of background;
Geometric model emulation module 2d) in background simulation module, selects the model be consistent with background to be emulated, utilizes D modeling tool to set up background model from background model database;
Background texture emulation module 2e) in background simulation module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered background, utilize image inversion technique to carry out image inverting to the infrared image of gathered background, obtain the infrared texture data of background;
2f) background texture emulation module utilizes mapping technology, by the infrared texture data-mapping of background in background model, generates complete background simulation figure.
(3) atmospheric effect emulation:
Weather data 3a) announced by weather bureau obtains atmosphere data to be emulated;
3b) environmental simulation module utilizes atmospheric radiative transfer computational tool, calculates gathered atmosphere data, obtains the data texturing of air.
(4) sensor effect emulation:
The parameter of infrared imaging sensor 4a) is obtained by the performance parameter table of infrared imaging sensor to be emulated;
4b) transducer emulation module utilizes sensor effect model, calculates the parameter of gathered infrared imaging sensor, obtains sensor data texturing.
(5) camouflage effectiveness emulation:
5a) pretend synthesis module in step 2f) the background simulation image that generates superposes step 1f) the target simulator image that generates, generate synthesis scene image;
5b) pretend synthesis module by generated air data texturing and sensor data texturing, utilize mapping technology to be mapped on synthesis scene image, obtain camouflage effectiveness figure.
(6) camouflage effectiveness assessment:
Organize the personnel through visual exercise, to generated camouflage effectiveness figure, carry out camouflage effectiveness assessment according to the goal-based assessment method based on human eye vision.
The present invention compared with prior art has the following advantages:
The first, because analogue system of the present invention is full link simulation system, achieve the full link simulation of target, background, environment and imaging sensor, thus it is imperfect to avoid simulated effect in prior art, the shortcoming that validity is low.The present invention is made to have the advantage of more complete, the truer camouflage effectiveness of emulation.
Second, because appraisal procedure of the present invention is based on the camouflage effectiveness appraisal procedure under full link simulation, be the camouflage effectiveness assessment carried out based on simulation result, thus avoid in prior art and need to carry out field trial, manpower and materials expend many, the shortcoming of stability and repeatability difference.The present invention is made to have the advantage of assessment camouflage effectiveness easily and accurately.
Accompanying drawing explanation
Accompanying drawing 1 is the block scheme of present system;
Accompanying drawing 2 is process flow diagrams of the inventive method;
Accompanying drawing 3 is analogous diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described.
Below in conjunction with accompanying drawing 1, system of the present invention is further described.
System of the present invention comprises five modules: target simulator module, background simulation module, environmental simulation module, transducer emulation module and camouflage effectiveness synthesis of artificial module; Described target simulator module, background simulation module, environmental simulation module, transducer emulation module, camouflage effectiveness synthesis of artificial module are connected by bus.Wherein,
Target simulator module comprises geometric model emulation module and target texture emulation module; Described geometric model emulation module is for setting up the geometric model of target, and target texture emulation module is used for carrying out texture generation and texture according to gathered target image, exports target simulator figure.
Background simulation module comprises geometric model emulation module and background texture emulation module; Described geometric model emulation module is for setting up the geometric model of background, and background texture emulation module is used for carrying out texture generation and texture according to gathered background image, exports background simulation figure.
Environmental simulation module, for according to gathered atmospheric environmental parameters emulation atmospheric environment, exports air data texturing.
Transducer emulation module comprises signal response emulation module, sampling effect emulation module, Spatial Filtering Effect emulation module and noise effect emulation module; Described signal response emulation module is used for the signal response according to gathered sensor parameters simulated sensor, sampling effect emulation module is used for the sampling effect according to gathered sensor parameters simulated sensor, Spatial Filtering Effect emulation module is used for the Spatial Filtering Effect according to gathered sensor parameters simulated sensor, noise effect emulation module is used for the noise effect according to gathered sensor parameters simulated sensor, output transducer data texturing.
Camouflage effectiveness synthesis of artificial module, for the result according to target simulator module, background simulation module, environmental simulation module and transducer emulation module, synthesis of artificial camouflage effectiveness, exports camouflage effectiveness analogous diagram.
Step below in conjunction with accompanying drawing 2 pairs of the inventive method is further described.
Step 1, target simulator.
Use the visible images of collected by camera camouflaged target.
Infrared thermoviewer is used to gather the infrared image of camouflaged target.
Infrared thermometer is used to gather the temperature data of camouflaged target.
Geometric model emulation module in target simulator module selects the model be consistent with target geometry to be emulated from three-dimensional modeling data storehouse, utilizes D modeling tool to set up the geometric model of target.
In an embodiment of the present invention, D modeling tool adopts 3DMAX instrument.
Target texture emulation module in target simulator module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered camouflaged target, utilize image inversion technique to carry out image inverting to the infrared image of gathered camouflaged target, obtain the infrared texture data of target.
Gathering the step that the visible images of camouflaged target carries out infrared texture generation is:
The first step, according to treating that material that simulation objectives uses and institute gather the temperature data of target, utilizes the macro-texture data of planck formula calculating generation target.
Second step, utilizes the visible images of intensity profile analytical approach to gathered target to calculate intensity profile data, as the Micro texture data of target.
The macro-texture data of obtained target and Micro texture data investigation are obtained the infrared texture data of target by the 3rd step.
To the method that the infrared image of gathered camouflaged target carries out image inverting be in an embodiment of the present invention:
The first step, carries out image inverse operation to the infrared image of gathered target, obtains the radiation data of target.
Obtained target emanation data are deducted air data texturing and sensor data texturing by second step, obtain the infrared texture data of target.
The infrared texture data separate mapping technology of target is mapped on target geometric model by target texture emulation module, obtains complete target simulator figure.
Step 2, background simulation.
Use the visible images of collected by camera background.
Thermal infrared imager is used to gather the infrared image of background.
Infrared thermometer is used to gather the temperature data of background.
Geometric model emulation module in background simulation module selects the model be consistent with background to be emulated to utilize D modeling tool to set up background model from background model database.
In an embodiment of the present invention, D modeling tool adopts 3DMAX instrument.
Background texture emulation module in background simulation module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered background, utilize image inversion technique to carry out image inverting to the infrared image of gathered background, obtain the infrared texture data of background.
Gathering the step that the visible images of background carries out infrared texture generation is:
The first step, according to the temperature data treating the material that simulation context uses and the background gathered, utilizes planck formula to calculate the macro-texture data of generation background.
Second step, utilizes the visible images of intensity profile analytical approach to gathered background to calculate intensity profile data, Micro texture data as a setting.
The macro-texture data of obtained background and Micro texture data investigation are obtained the infrared texture data of background by the 3rd step.
To gather camouflage background the infrared image method of carrying out image inverting be:
The first step, carries out image inverse operation to the infrared image of gathered background, obtains the radiation data of target.
Obtained background radiation data are deducted air data texturing and sensor data texturing by second step, obtain the infrared texture data of background.
The infrared texture data separate mapping technology of background is mapped in background model by background texture emulation module, generates complete background simulation figure.
Step 3, atmospheric effect emulates.
The weather data announced by weather bureau obtains atmosphere data to be emulated.
Environmental simulation module utilizes atmospheric radiative transfer computational tool, calculates gathered atmosphere data, obtains the data texturing of air.
In an embodiment of the present invention, atmospheric radiative transfer computational tool adopts MODTRAN instrument.
Step 4, sensor effect emulates.
The parameter of infrared imaging sensor is obtained by the performance parameter table of infrared imaging sensor to be emulated.
Transducer emulation module utilizes sensor effect model, calculates the parameter of gathered infrared imaging sensor, obtains sensor data texturing.
Described sensor effect model comprises signal response model, sampling effect model, Spatial Filtering Effect model and noise effect model four kinds of models.These four kinds of models describe the response process of signal through optical system, detector and processing circuitry.Wherein, the effect of optical system comprises energy attenuation, illuminance of image plane distribution, steric effect and veiling glare.Explorer response process comprises signal response, time filtering, sampling effect, shake and filtering.The processes such as the response process of processing circuitry comprises amplifier gain, low-pass filtering, high-pass filtering, high frequency are recommended, CCD transfer indfficiency, A/D conversion and grey level quantization.
Step 5, camouflage effectiveness emulates.
Camouflage synthesis module superposes generated target simulator image on generated background simulation image, generates synthesis scene image.
Camouflage synthesis module, by generated air data texturing and sensor data texturing, utilizes mapping technology to be mapped on synthesis scene image, obtains camouflage effectiveness figure.
Step 6, camouflage effectiveness is assessed.
Organize the personnel through visual exercise, to generated camouflage effectiveness figure, carry out camouflage effectiveness assessment according to the goal-based assessment method based on human eye vision.
Step based on the goal-based assessment method of human eye vision is:
The first step, by the personnel through visual exercise, according to Johnson criteria, judges that whether the camouflaged target on camouflage effectiveness figure is visible.
Second step, by the personnel through visual exercise, according to Johnson criteria, judges camouflaged target on camouflage effectiveness figure whether identifiable design.
3rd step, by the personnel through visual exercise, according to Johnson criteria, judges whether the camouflaged target on camouflage effectiveness figure can be recognized.
4th step, using the assessment result of the judged result of above-mentioned three steps as camouflage effectiveness.
Described Johnson criteria refers to when not considering target essence and image deflects, determines the criterion of thermal infrared imager imaging system to the recognition capability of target with the resolving power of target Equivalent striped.
In embodiments of the invention, the specific descriptions of Johnson criteria are: be 50% at probability, the contrast of object and background is add up target under the condition of 1 respectively in visible, identifiable design, detectable situation, and the target number of pixels that imaging is occupied on critical dimension direction is on the detector at least 1.5,6,12.
In the embodiment of the present invention also, identifiable design visible at human eye vision according to camouflaged target, can be corresponding respectively in identification situation the operating distance of infrared imaging system obtain the detection range of infrared imaging system, decipherment distance and identification distance.Search type, following-up type and the dynamic property of conductivity type infrared imaging system processed and the assessment of attacking and defending performance under camouflage condition also can be carried out according to this analogue system and appraisal procedure.
Below in conjunction with analogous diagram 3, effect of the present invention is further described.
1. simulated conditions:
The operational system of emulation experiment of the present invention is Intel (R) Core (TM) i5CPU6503.20GHz, 32-bit Windows operating system, and simulation software adopts MicrosoftVisualStudio2008 and OGRE software.
2. simulation result:
With reference to analogous diagram 3, wherein, Fig. 3 (a) is the synthesis of artificial figure of camouflaged target and background, Fig. 3 (b) is camouflage effectiveness analogous diagram.Fig. 3 (a) comprises geometric model and the superficial makings pinup picture of target and background, Fig. 3 (b) with the addition of atmospheric effect simulation result and sensor effect simulation result on Fig. 3 (a), emulation be through the camouflaged target after atmospheric attenuation, atmospheric scattering and infrared imaging sensor effect and background.Qualitative contrast two figure is visible, and the camouflage effectiveness of target there occurs change under the effect of air and sensor, and the contrast of camouflaged target and background declines, and illustrates that the camouflage effectiveness of target is under such condition better.
Claims (5)
1. based on an infrared camouflage effect emulation system for full link, comprise five modules: target simulator module, background simulation module, environmental simulation module, transducer emulation module and camouflage effectiveness synthesis of artificial module; Described target simulator module, background simulation module, environmental simulation module, transducer emulation module, camouflage effectiveness synthesis of artificial module are connected by bus; Wherein,
Described target simulator module comprises geometric model emulation module and target texture emulation module; Described geometric model emulation module is for setting up the geometric model of target, and target texture emulation module is used for carrying out texture generation and texture according to gathered target image, exports target simulator figure;
Described background simulation module comprises geometric model emulation module and background texture emulation module; Described geometric model emulation module is for setting up the geometric model of background, and background texture emulation module is used for carrying out texture generation and texture according to gathered background image, exports background simulation figure;
Described environmental simulation module, for according to gathered atmospheric environmental parameters emulation atmospheric environment, exports air data texturing;
Described transducer emulation module comprises signal response emulation module, sampling effect emulation module, Spatial Filtering Effect emulation module and noise effect emulation module; Described signal response emulation module is used for the signal response according to gathered sensor parameters simulated sensor, sampling effect emulation module is used for the sampling effect according to gathered sensor parameters simulated sensor, Spatial Filtering Effect emulation module is used for the Spatial Filtering Effect according to gathered sensor parameters simulated sensor, noise effect emulation module is used for the noise effect according to gathered sensor parameters simulated sensor, output transducer data texturing; Described transducer emulation module obtains the parameter of infrared imaging sensor by the performance parameter table of infrared imaging sensor to be emulated; Transducer emulation module utilizes sensor effect model, calculates the parameter of gathered infrared imaging sensor, obtains sensor data texturing; Described sensor effect model comprises signal response model, sampling effect model, Spatial Filtering Effect model and noise effect model four kinds of models;
Described camouflage effectiveness synthesis of artificial module, for the result according to target simulator module, background simulation module, environmental simulation module and transducer emulation module, synthesis of artificial camouflage effectiveness, exports camouflage effectiveness analogous diagram.
2., based on an infrared camouflage effect evaluation method for full link, comprise the steps:
(1) target simulator:
1a) use the visible images of collected by camera camouflaged target;
Infrared thermoviewer 1b) is used to gather the infrared image of camouflaged target;
Infrared thermometer 1c) is used to gather the temperature data of camouflaged target;
Geometric model emulation module in 1d) target simulator module, selects the model be consistent with target geometry to be emulated, utilizes D modeling tool to set up the geometric model of target from three-dimensional modeling data storehouse;
Target texture emulation module in 1e) target simulator module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered camouflaged target, utilize image inversion technique to carry out image inverting to the infrared image of gathered camouflaged target, obtain the infrared texture data of target;
1f) target texture emulation module utilizes mapping technology, by the infrared texture data-mapping of target on target geometric model, generates complete target simulator figure;
(2) background simulation:
2a) use the visible images of collected by camera background;
Thermal infrared imager 2b) is used to gather the infrared image of background;
Infrared thermometer 2c) is used to gather the temperature data of background;
Geometric model emulation module 2d) in background simulation module, selects the model be consistent with background to be emulated, utilizes D modeling tool to set up background model from background model database;
Background texture emulation module 2e) in background simulation module, infrared texture generation technique is utilized to carry out infrared texture generation to the visible images of gathered background, utilize image inversion technique to carry out image inverting to the infrared image of gathered background, obtain the infrared texture data of background;
2f) background texture emulation module utilizes mapping technology, by the infrared texture data-mapping of background in background model, generates complete background simulation figure;
(3) atmospheric effect emulation:
Weather data 3a) announced by weather bureau obtains atmosphere data to be emulated;
3b) environmental simulation module utilizes atmospheric radiative transfer computational tool, calculates gathered atmosphere data, obtains the data texturing of air;
(4) sensor effect emulation:
The parameter of infrared imaging sensor 4a) is obtained by the performance parameter table of infrared imaging sensor to be emulated;
4b) transducer emulation module utilizes sensor effect model, calculates the parameter of gathered infrared imaging sensor, obtains sensor data texturing;
(5) camouflage effectiveness emulation:
5a) pretend synthesis module in step 2f) the background simulation image that generates superposes step 1f) the target simulator image that generates, generate synthesis scene image;
5b) pretend synthesis module by generated air data texturing and sensor data texturing, utilize mapping technology to be mapped on synthesis scene image, obtain camouflage effectiveness figure;
(6) camouflage effectiveness assessment:
Organize the personnel through visual exercise, to generated camouflage effectiveness figure, carry out camouflage effectiveness assessment according to the goal-based assessment method based on human eye vision;
Step 1e) described in the performing step of infrared texture generation technique as follows:
The first step, according to the temperature data treating the material that simulation objectives uses and the target gathered, utilizes planck formula to calculate the macro-texture data generating target;
Second step, utilizes the visible images of intensity profile analytical approach to gathered target to calculate intensity profile data, as the Micro texture data of target;
The macro-texture data of obtained target and Micro texture data investigation are obtained the infrared texture data of target by the 3rd step;
Step 1e) described in the performing step of image inversion technique as follows:
The first step, carries out image inverse operation to the infrared image of gathered target, obtains the radiation data of target;
Obtained target emanation data are deducted air data texturing and sensor data texturing by second step, obtain the infrared texture data of target;
Step 2e) described in the performing step of infrared texture generation technique as follows:
The first step, according to the temperature data treating the material that simulation context uses and the background gathered, utilizes planck formula to calculate the macro-texture data of generation background;
Second step, utilizes the visible images of intensity profile analytical approach to gathered background to calculate intensity profile data, Micro texture data as a setting;
The macro-texture data of obtained background and Micro texture data investigation are obtained the infrared texture data of background by the 3rd step;
Step 2e) described in the performing step of image inversion technique as follows:
The first step, carries out image inverse operation to the infrared image of gathered background, obtains the radiation data of background;
Obtained background radiation data are deducted the infrared texture data that air data texturing and sensor data texturing obtain background by second step.
3. the infrared camouflage effect evaluation method based on full link according to claim 2, is characterized in that: step 4b) described in sensor effect model comprise signal response model, sampling effect model, Spatial Filtering Effect model and noise effect model four kinds of models.
4. the infrared camouflage effect evaluation method based on full link according to claim 2, is characterized in that: the goal-based assessment method concrete steps based on human eye vision described in step (6) are as follows:
The first step, by the personnel through visual exercise, according to Johnson criteria, judges that whether the camouflaged target on camouflage effectiveness figure is visible;
Second step, by the personnel through visual exercise, according to Johnson criteria, judges camouflaged target on camouflage effectiveness figure whether identifiable design;
3rd step, by the personnel through visual exercise, according to Johnson criteria, judges whether the camouflaged target on camouflage effectiveness figure can be recognized;
4th step, using the assessment result of the judged result of above-mentioned three steps as target.
5. the infrared camouflage effect evaluation method based on full link according to claim 4, it is characterized in that: described Johnson criteria refers to, when not considering target essence and image deflects, determine the criterion of thermal infrared imager imaging system to the recognition capability of target with the resolving power of target Equivalent striped.
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