CN115598993A - Evaluation method and system for physical effect simulation effect of semi-physical simulation infrared scene - Google Patents
Evaluation method and system for physical effect simulation effect of semi-physical simulation infrared scene Download PDFInfo
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Abstract
The invention provides an evaluation method and a system for a physical effect simulation effect of a semi-physical simulation infrared scene, which comprise the following steps: establishing an evaluation index system of the infrared scene physical effect simulation effect, and evaluating according to the evaluation index system; the method specifically comprises the following steps: analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene; respectively establishing corresponding evaluation indexes according to the analysis conditions of the various influencing factors; and integrating the evaluation indexes to establish the evaluation index system. The method considers factors such as the actual scene simulation effect, the detection system perception effect and the like, so that the target/environment simulation in the semi-physical simulation test is more consistent with the actual sensitive information of the tested system, and the target identification algorithm based on the detection system is favorably verified. The method can be effectively adapted to different semi-physical simulation systems for evaluating the performance of the simulator.
Description
Technical Field
The invention relates to the technical field of semi-physical simulation of aircrafts, in particular to a method and a system for evaluating a physical effect simulation effect of a semi-physical simulation infrared scene.
Background
Semi-physical simulation of infrared complex scenes is one of the important concerns in the design and development of complex systems such as aerospace, aviation, ships and the like in recent years. The accurate evaluation of the simulation effect of the physical effect of the infrared scene is the basis for developing the high-confidence infrared scene semi-physical simulation test. A set of evaluation scheme of the physical effect simulation effect of the semi-physical simulation infrared scene considering both economy and effectiveness is obtained through improvement, and the evaluation scheme is an important premise for developing a high-confidence semi-physical simulation test.
At present, most of the evaluation schemes for the infrared scene physical effect simulation effect adopted by domestic and foreign simulation systems directly adopt the test results of the performance of the infrared scene simulator, for example, patent document CN108204888a evaluates the performance of the dynamic scene simulator, but the evaluation schemes do not consider the influence of the target radiation characteristic model, the detection system sensing characteristic and the coupling effect between the infrared scene simulator performance and the above factors on the final simulation effect of the infrared scene physical effect, and do not form a set of evaluation schemes capable of comprehensively considering the performance of the simulator, the target radiation characteristic model, the detection system sensing characteristic and the coupling effect between the simulator performance, the detection system sensing characteristic and the factors.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method and a system for evaluating the physical effect simulation effect of a semi-physical simulation infrared scene.
According to the evaluation method for the physical effect simulation effect of the semi-physical simulation infrared scene, provided by the invention, an evaluation index system of the physical effect simulation effect of the infrared scene is established, and evaluation is carried out according to the evaluation index system;
the step of establishing an evaluation index system of the infrared scene physical effect simulation effect comprises the following steps:
analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene;
respectively establishing corresponding evaluation indexes according to the analysis conditions of the various influence factors;
and integrating the evaluation indexes to establish the evaluation index system.
Preferably, the analysis of the influencing factors comprises: the method comprises the steps of simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis.
Preferably, the evaluation index includes:
a simulator performance index corresponding to a simulator performance analysis;
a scene model accuracy index corresponding to a scene model accuracy analysis;
the simulator and model matching degree index is analyzed corresponding to the simulator performance and scene model matching degree;
and the scene simulation and detection perception matching degree index corresponds to the scene physical effect and detection system perception characteristic matching degree analysis and the detection system perception characteristic analysis.
Preferably, the scene model accuracy index includes: a scene radiance characteristic;
wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into indexes of a space change range, a space change trend, a space change amplitude and a space change speed according to the space distribution characteristics;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into time variation range, time variation trend, time variation amplitude and time variation speed indexes according to the time distribution characteristics.
Preferably, the simulator performance indicators include: the simulator comprises a simulator overall index, an optical system index, a radiation source and control system index and an auxiliary matching device index;
the simulator general indexes comprise: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; the imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion and the energy concentration of a light spot;
the radiation source and control system indicators include: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision and energy control delay;
the auxiliary matching device indexes comprise: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, vacuum requirements.
Preferably, the scene simulation and detection perception matching degree index includes: extracting a gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively; extracting the size change rate of the quasi-target size, and further extracting the motion trail of a true target and a false target; and extracting the energy change rate by the quasi-target energy, and further extracting the energy ratio of true and false targets.
Preferably, the step of evaluating according to the evaluation index system comprises:
establishing a test and analysis method of physical effect simulation effect, and obtaining evaluation data through related test and analysis;
selecting matched indexes from the evaluation index system, and evaluating the evaluation data to obtain an evaluation result of the simulation effect of the infrared scene physical effect;
and analyzing the evaluation result.
The invention provides an evaluation system for a physical effect simulation effect of a semi-physical simulation infrared scene, which comprises the following steps:
a module for establishing an evaluation index system of the infrared scene physical effect simulation effect;
a module for evaluating according to the evaluation index system;
the module for establishing the evaluation index system of the infrared scene physical effect simulation effect comprises the following modules:
the module is used for analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene;
respectively establishing corresponding modules for evaluating indexes according to the analysis conditions of the various influence factors;
and integrating the evaluation indexes to establish the evaluation index system.
Preferably, the analysis of the influencing factors comprises: the method comprises the following steps of (1) simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis;
the evaluation index includes:
a simulator performance index corresponding to a simulator performance analysis;
a scene model accuracy index corresponding to a scene model accuracy analysis;
the simulator and model matching degree index is analyzed corresponding to the simulator performance and scene model matching degree;
matching degree indexes of scene simulation and detection perception, corresponding to the matching degree analysis of the scene physical effect and the perception characteristic of the detection system and the perception characteristic analysis of the detection system;
the scene model accuracy index comprises: a scene radiance characteristic;
wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into indexes of a space change range, a space change trend, a space change amplitude and a space change speed according to the space distribution characteristics;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into time variation range, time variation trend, time variation amplitude and time variation speed indexes according to the time distribution characteristics;
the simulator performance index comprises: the simulator comprises a simulator overall index, an optical system index, a radiation source and control system index and an auxiliary matching device index;
the simulator general indexes comprise: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; the imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion and the energy concentration of a light spot;
the radiation source and control system indicators include: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision and energy control delay;
the auxiliary matching device indexes comprise: power supply requirements, cooling temperature, environmental temperature control requirements, cable length, and vacuum requirements;
the scene simulation and detection perception matching degree index comprises the following steps: extracting a gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively; extracting the size change rate of the quasi-target size, and further extracting the motion trail of a true target and a false target; and extracting the energy change rate by the quasi-target energy, and further extracting the energy ratio of true and false targets.
Preferably, the module for evaluating according to the evaluation index system comprises:
a module for establishing a test and analysis method of physical effect simulation effect and obtaining evaluation data through related test and analysis;
a module for selecting matched indexes from the evaluation index system and evaluating the evaluation data to obtain an evaluation result of the simulation effect of the infrared scene physical effect;
and a module for analyzing the evaluation result.
Compared with the prior art, the invention has the following beneficial effects:
1. the method provided by the invention carries out performance evaluation on the semi-physical simulation target simulation system, considers factors such as actual scene simulation effect and detection system perception effect, and the like, so that target/environment simulation in the semi-physical simulation test is more consistent with actual sensitive information of a tested system, and the target identification algorithm based on the detection system is favorably verified;
2. the infrared scene physical effect simulation effect evaluation index system provided by the invention considers the matching property of the simulator and the target characteristic model, can fully utilize the performance of the simulation target simulator, enables the model accuracy to be matched with the simulator performance, can avoid providing meaningless high requirements for the simulator performance and the model accuracy, and reduces the simulator development and target characteristic modeling costs.
3. The invention can effectively adapt to different semi-physical simulation systems for carrying out simulator performance evaluation.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic flow chart of a method for evaluating a physical effect simulation effect of a semi-physical simulation infrared scene.
FIG. 2 is a schematic flow chart of a method for establishing an infrared scene physical effect simulation effect evaluation index system.
Fig. 3 is a schematic diagram of main factors influencing the simulation effect of the physical effect of the infrared scene and corresponding evaluation indexes.
FIG. 4 is a decomposition diagram of a simulator performance indicator.
FIG. 5 is a decomposition diagram of a scene model index.
FIG. 6 is a diagram illustrating a decomposition of a simulator to model matching degree indicator.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The evaluation scheme of the infrared scene physical effect simulation effect provides a comprehensive simulator device performance, a target radiation characteristic model, a detection system perception characteristic and other factors, and influences of coupling effects among the factors on the infrared scene physical effect final simulation effect, so that the infrared scene physical effect simulation effect is effectively evaluated.
The invention provides an evaluation method for physical effect simulation of a semi-physical simulation infrared scene, which comprises the following steps:
step S1: establishing an infrared scene physical effect simulation effect evaluation index system;
step S2: establishing a test and analysis method of physical effect simulation effect, and obtaining evaluation data through related test and analysis;
and step S3: selecting a matched evaluation mode to calculate evaluation indexes;
and step S4: selecting a matched index comprehensive mode to evaluate the simulation effect of the infrared scene physical effect;
step S5: and analyzing the evaluation result of the simulation effect of the physical effect of the infrared scene.
The method provided by the invention is adopted to evaluate the simulation effect of the physical effect of the semi-physical simulation infrared scene, so that the simulation conditions can be fully utilized, and the fidelity of objective evaluation scene simulation is improved.
As shown in fig. 2 and fig. 3, in step S1, the process of establishing the infrared scene physical effect simulation effect evaluation index system includes: firstly, analyzing influence factors of an infrared scene physical effect simulation effect, wherein the influence factor analysis specifically comprises the following steps: the method comprises the following steps of (1) simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis; then respectively obtaining a simulator performance index, a scene model accuracy index, a simulator and model matching degree index and a scene simulation and detection perception matching degree index; and finally, establishing an infrared scene physical effect evaluation index system by combining the indexes.
As shown in fig. 5, the analyzing the accuracy of the scene model includes: a scene radiance characteristic. Wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
furthermore, indexes such as a spatial variation range, a spatial variation trend, a spatial variation amplitude, a spatial variation speed and the like can be respectively decomposed according to the spatial distribution characteristics of the radiation spectrum, the polarization characteristics and the radiation energy intensity; the indexes of time change range, time change trend, time change amplitude, time change speed and the like can be respectively decomposed according to the time distribution characteristics of the radiation spectrum, the polarization characteristics and the radiation energy intensity.
As shown in fig. 4, the simulator performance index corresponding to the simulator performance analysis includes: overall indexes of the simulator, indexes of an optical system, indexes of a radiation source and control system and indexes of auxiliary matching devices;
further, the overall simulator index includes: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time, etc.;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; typical imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion, spot energy concentration and the like;
the radiation source and control system indexes comprise: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision, energy control delay and the like;
the auxiliary matching device indexes comprise: power requirements, cooling temperature, ambient temperature control requirements, cable length, vacuum requirements, and the like.
As shown in fig. 6, the scene simulation and detection perception matching degree indexes corresponding to the scene physical effect, the detection system perception characteristic matching degree analysis and the detection system perception characteristic analysis together include: further extracting gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively, wherein the size of the quasi-target can further extract the size change rate, and further extracting the motion trail of a true target and a false target; the quasi-target energy can further extract the energy change rate, and further extract the energy ratio of true and false targets.
The present invention will be described in more detail below.
The step S1 includes:
step 1.1: analyzing various factors influencing the semi-physical simulation effect of the infrared scene;
step 1.2: respectively establishing corresponding evaluation indexes according to the analysis conditions of various influence factors;
step 1.3: establishing a corresponding index comprehensive method according to the characteristics and the mutual relation of each evaluation index;
step 1.4: and finishing the construction of the infrared scene semi-physical simulation effect evaluation index system.
The step 1.1 comprises:
step 1.1.1: carrying out simulator performance analysis;
step 1.1.2: carrying out accuracy analysis on the scene model;
step 1.1.3: carrying out matching degree analysis on the performance of the simulator and the scene model;
step 1.1.4: analyzing the matching degree of the scene physical effect and the sensing characteristic of the detection system;
step 1.1.5: and (5) carrying out detection system perception characteristic analysis.
The step 1.2 comprises the following steps:
step 1.2.1: establishing a simulator performance index according to the simulator performance analysis result;
step 1.2.2: establishing a model accuracy index according to an accuracy analysis result of the scene model;
step 1.2.3: according to the performance of the simulator and the matching degree analysis result of the scene model, establishing a matching degree index of the simulator and the model;
step 1.2.4: and establishing a scene simulation and detection perception matching degree index according to the scene physical effect and detection system perception characteristic matching degree analysis result and the detection system perception characteristic analysis result.
Said step 1.2.1 comprises:
step 1.2.1.1: dividing the performance indexes of the simulator into overall indexes, optical system indexes, radiation source and control system indexes, auxiliary matching device indexes and the like;
step 1.2.1.2: further decomposing the overall index into specific indexes such as volume, weight, simulator working wave band, exit pupil irradiance range, refreshing frequency, preparation time, continuous working time and the like;
step 1.2.1.3: further decomposing the optical system index into specific indexes such as an optical system working waveband, an optical field of view, an exit pupil size, an exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical system transmittance and the like; the imaging quality is decomposed into specific indexes such as temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion, spot energy concentration and the like;
step 1.2.1.4: further decomposing the indexes of the radiation source and the control system into specific indexes such as background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty ratio, bad element rate, image frame frequency, effective radiation duration in a frame, radiation source size, minimum energy, maximum energy, energy stability, maximum energy change rate, energy control precision, energy control delay time and the like;
step 1.2.1.5: and the indexes of the auxiliary matching device are further decomposed into specific indexes such as power supply requirements, cooling temperature, environmental temperature and humidity control requirements, cable length and vacuum requirements and the like.
The step 1.2.2 comprises:
step 1.2.2.1: decomposing the radiation characteristic of the scene into indexes such as a radiation spectrum, a polarization characteristic, radiation energy intensity and the like;
step 1.2.2.2: further decomposing the radiation spectrum, the polarization characteristic and the radiation energy intensity index in the step 1.2.2.1 from two dimensions of spatial distribution and time distribution respectively;
step 1.2.2.3: from the spatial distribution dimension, decomposing the radiation spectrum, the polarization characteristic and the radiation energy intensity index according to the variation range, the variation trend, the variation amplitude, the variation speed and the like respectively;
step 1.2.2.4: from the time distribution dimension, the radiation spectrum, the polarization characteristic and the radiation energy intensity index are decomposed according to the variation range, the variation trend, the variation amplitude, the variation speed and the like.
Said step 1.2.3 comprises:
step 1.2.3.1: extracting the gray distribution of the quasi-target image from the gray distribution data of the scene image;
step 1.2.3.2: decomposing the gray level distribution data of the quasi-target image into a quasi-target size index and a quasi-target energy index;
step 1.2.3.3: extracting the size change rate of the quasi-target from the dynamic continuous change of the quasi-target size, and further extracting the motion trail of the true and false targets;
step 1.2.3.4: and extracting the energy change rate of the quasi-target from the dynamic continuous change of the quasi-target energy, and further extracting the energy ratio of the true and false targets.
The invention also provides an evaluation system of the physical effect simulation effect of the semi-physical simulation infrared scene, and a person skilled in the art can realize the evaluation system of the physical effect simulation effect of the semi-physical simulation infrared scene by executing the steps of the evaluation method of the physical effect simulation effect of the semi-physical simulation infrared scene, namely, the evaluation method of the physical effect simulation effect of the semi-physical simulation infrared scene can be understood as the preferred implementation mode of the evaluation system of the physical effect simulation effect of the semi-physical simulation infrared scene. Specifically, the evaluation system for the simulation effect of the physical effect of the semi-physical simulation infrared scene provided by the invention comprises the following components:
a module for establishing an evaluation index system of the infrared scene physical effect simulation effect;
a module for evaluating according to the evaluation index system;
the module for establishing the evaluation index system of the infrared scene physical effect simulation effect comprises the following modules:
the module is used for analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene;
respectively establishing corresponding modules for evaluating indexes according to the analysis conditions of the various influence factors;
and integrating the evaluation indexes to establish the evaluation index system.
The analysis of the influence factors comprises the following steps: the method comprises the following steps of (1) simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis;
the evaluation index includes:
a simulator performance index corresponding to a simulator performance analysis;
a scene model accuracy index corresponding to a scene model accuracy analysis;
the simulator and model matching degree index is analyzed corresponding to the simulator performance and scene model matching degree;
scene simulation and detection perception matching degree indexes are used for analyzing the matching degree of scene physical effects and detection system perception characteristics and analyzing the detection system perception characteristics;
the scene model accuracy index comprises: a scene radiance characteristic;
wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into indexes of a space change range, a space change trend, a space change amplitude and a space change speed according to the space distribution characteristics;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into time variation range, time variation trend, time variation amplitude and time variation speed indexes according to the time distribution characteristics;
the simulator performance index comprises: the simulator comprises a simulator overall index, an optical system index, a radiation source and control system index and an auxiliary matching device index;
the simulator general indexes comprise: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; the imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion and light spot energy concentration;
the radiation source and control system indicators include: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty ratio, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision and energy control delay;
the auxiliary matching device indexes comprise: power supply requirements, cooling temperature, environmental temperature control requirements, cable length, and vacuum requirements;
the scene simulation and detection perception matching degree index comprises the following steps: extracting a gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively; extracting the size change rate of the quasi-target size, and further extracting the motion trail of a true target and a false target; and extracting the energy change rate by the quasi-target energy, and further extracting the energy ratio of true and false targets.
The module for evaluating according to the evaluation index system comprises:
a module for establishing a test and analysis method of physical effect simulation effect and obtaining evaluation data through related test and analysis;
a module for selecting matched indexes from the evaluation index system and evaluating the evaluation data to obtain an evaluation result of the simulation effect of the infrared scene physical effect;
and a module for analyzing the evaluation result.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A semi-physical simulation infrared scene physical effect simulation effect evaluation method is characterized in that an evaluation index system of an infrared scene physical effect simulation effect is established, and evaluation is carried out according to the evaluation index system;
the step of establishing an evaluation index system of the infrared scene physical effect simulation effect comprises the following steps:
analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene;
respectively establishing corresponding evaluation indexes according to the analysis conditions of various influence factors;
and integrating the evaluation indexes to establish the evaluation index system.
2. The method for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 1, wherein the analysis of the influence factors comprises: the method comprises the steps of simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis.
3. The method for evaluating the physical effect simulation effect of the semi-physical simulation infrared scene according to claim 2, wherein the evaluation index comprises:
a simulator performance index corresponding to a simulator performance analysis;
a scene model accuracy index corresponding to a scene model accuracy analysis;
the simulator and model matching degree index is analyzed corresponding to the simulator performance and scene model matching degree;
and the scene simulation and detection perception matching degree index corresponds to the scene physical effect and detection system perception characteristic matching degree analysis and the detection system perception characteristic analysis.
4. The method for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 3, wherein the accuracy index of the scene model comprises: a scene radiance characteristic;
wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into indexes of a space change range, a space change trend, a space change amplitude and a space change speed according to the space distribution characteristics;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into time variation range, time variation trend, time variation amplitude and time variation speed indexes according to the time distribution characteristics.
5. The method for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 3, wherein the performance indexes of the simulator comprise: the simulator comprises a simulator overall index, an optical system index, a radiation source and control system index and an auxiliary matching device index;
the simulator general indexes comprise: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; the imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion and the energy concentration of a light spot;
the radiation source and control system indicators include: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision and energy control delay;
the auxiliary matching device indexes comprise: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, vacuum requirements.
6. The method for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 3, wherein the scene simulation and detection perception matching degree index comprises: extracting a gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively; extracting the size change rate of the quasi-target size, and further extracting the motion trail of a true target and a false target; and extracting the energy change rate by the quasi-target energy, and further extracting the energy ratio of true and false targets.
7. The method for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 3, wherein the step of evaluating according to the evaluation index system comprises:
establishing a test and analysis method of physical effect simulation effect, and obtaining evaluation data through related test and analysis;
selecting matched indexes from the evaluation index system, and evaluating the evaluation data to obtain an evaluation result of the simulation effect of the infrared scene physical effect;
and analyzing the evaluation result.
8. The utility model provides an evaluation system of semi-physical simulation infrared scene physical effect simulation effect which characterized in that includes:
a module for establishing an evaluation index system of the infrared scene physical effect simulation effect;
a module for evaluating according to the evaluation index system;
the module for establishing the evaluation index system of the infrared scene physical effect simulation effect comprises the following modules:
the module is used for analyzing various influence factors influencing the semi-physical simulation effect of the infrared scene;
respectively establishing corresponding modules for evaluating indexes according to the analysis conditions of the various influence factors;
and integrating the evaluation indexes to establish the evaluation index system.
9. The system for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 8, wherein the analysis of the influence factors comprises: the method comprises the following steps of (1) simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching degree analysis, scene physical effect and detection system perception characteristic matching degree analysis and detection system perception characteristic analysis;
the evaluation index includes:
a simulator performance index corresponding to a simulator performance analysis;
a scene model accuracy index corresponding to a scene model accuracy analysis;
the simulator and model matching degree index is analyzed corresponding to the simulator performance and scene model matching degree;
scene simulation and detection perception matching degree indexes are used for analyzing the matching degree of scene physical effects and detection system perception characteristics and analyzing the detection system perception characteristics;
the scene model accuracy index comprises: a scene radiance characteristic;
wherein the scene radiance characteristics comprise: radiation spectrum, polarization characteristics, radiation energy intensity;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into indexes of a space change range, a space change trend, a space change amplitude and a space change speed according to the space distribution characteristics;
the radiation spectrum, the polarization characteristic and the radiation energy intensity are respectively decomposed into time variation range, time variation trend, time variation amplitude and time variation speed indexes according to the time distribution characteristics;
the simulator performance index comprises: the simulator comprises a simulator overall index, an optical system index, a radiation source and control system index and an auxiliary matching device index;
the simulator general indexes comprise: volume, weight, operating band, exit pupil irradiance range, refresh frequency, preparation time, continuous operating time;
the optical system index includes: working waveband, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance and the like; the imaging quality indexes comprise temperature adaptability, the size of a diffuse spot, a modulation transfer function, distortion and the energy concentration of a light spot;
the radiation source and control system indicators include: background equivalent temperature, highest equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame frequency, effective radiation duration in a frame, radiation wave band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control precision and energy control delay;
the auxiliary matching device indexes comprise: power supply requirements, cooling temperature, environmental temperature control requirements, cable length, and vacuum requirements;
the scene simulation and detection perception matching degree index comprises the following steps: extracting a gray gradient of a quasi-target image from the gray distribution of the scene image, and analyzing from two perception angles of target size and target energy respectively; extracting the size change rate of the quasi-target size, and further extracting the motion trail of a true target and a false target; and extracting the energy change rate of the quasi-target energy, and further extracting the energy ratio of true targets and false targets.
10. The system for evaluating the simulation effect of the physical effect of the semi-physical simulation infrared scene according to claim 9, wherein the module for evaluating according to the evaluation index system comprises:
a module for establishing a test and analysis method of physical effect simulation effect and obtaining evaluation data through related test and analysis;
a module for selecting matched indexes from the evaluation index system and evaluating the evaluation data to obtain an evaluation result of the simulation effect of the infrared scene physical effect;
and a module for analyzing the evaluation result.
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