CN113588095A - Point source target infrared radiation quantitative processing method and device based on frame accumulation - Google Patents
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Abstract
The invention relates to a point source target infrared radiation quantitative processing method and a device based on frame accumulation, wherein the method comprises the following steps: acquiring point source target infrared measurement data measured by a foundation detection system; performing moving average frame accumulation processing on the basis of the point source target infrared measurement data to obtain an average value of the infrared measurement data after frame accumulation; selecting a point source target area based on the average value of the infrared measurement data, and calculating the equivalent average radiance of the point source target; and calculating the illumination of the point source target based on the equivalent average radiant brightness of the point source target and the solid angle formed by the ground-based detection system relative to the point source target. The invention improves the stability and the accuracy of the quantitative processing result of the point source target infrared radiation by a multi-frame accumulation method.
Description
Technical Field
The invention relates to the technical field of infrared radiation measurement, in particular to a point source target infrared radiation quantitative processing method and device based on frame accumulation, computer equipment and a computer readable storage medium.
Background
The infrared imaging of the remote small target is characterized in that the infrared radiation intensity is generally higher than the radiation intensity of the natural background around the infrared image, the infrared image is mostly in high gray level distribution, the infrared image has no correlation with the background around the infrared image, and the infrared image is mostly in isolated bright spots. Meanwhile, because the temperature of the surface of the target is uniform, the change of the imaged gray scale is not too large, so that the small target can be simplified into a point source with a constant gray scale value in the infrared image. The point source target infrared radiation characteristic is usually described by radiation intensity, and in view of the fact that the star target is far away from a ground detection system, most of radiation characteristic data which are commonly used by taking the star target as a calibration source are illumination information, and the radiation characteristic information of the target is quantitatively analyzed by taking the illumination information of the star target as reference information. However, the imaging distance of the point source target infrared radiation is far, so that the amplitude variation of the quantitative analysis result is large, and the accuracy of the quantitative processing result is relatively low.
Disclosure of Invention
The invention aims to provide a quantitative processing method for point source target infrared radiation characteristics based on a frame accumulation technology to improve the stability and accuracy of a star target quantitative analysis result aiming at least part of the defects.
In order to achieve the above object, the present invention provides a method for quantitatively processing a point source target infrared radiation based on frame accumulation, which comprises:
acquiring point source target infrared measurement data measured by a foundation detection system;
performing moving average frame accumulation processing on the point source target infrared measurement data to obtain an infrared measurement data average value after frame accumulation;
selecting a point source target area based on the average value of the infrared measurement data, and calculating the equivalent average radiance of the point source target;
and calculating the illumination of the point source target based on the equivalent average radiant brightness of the point source target and the solid angle formed by the ground-based detection system relative to the point source target.
Optionally, the performing of running average frame accumulation processing based on the point source target infrared measurement data is implemented by using the following formula:
Imagei′＝(Imagei+Imagei+1+…+Imagei+n)/n
wherein, the Imagei' denotes the average value of the IR measurement data, Image, of the i-th frameiAnd (3) representing point source target infrared measurement data of the ith frame, wherein n represents the frame accumulation number, and the value range of n is (2, the frame number of the measurement data is-1).
Optionally, after obtaining the point source target infrared measurement data measured by the ground-based detection system, before performing a running average frame accumulation process based on the point source target infrared measurement data, the method further includes:
and registering the infrared measurement data of the point source target of each frame by taking the position of the maximum brightness point as a reference.
Optionally, the selecting a point source target area based on the average value of the infrared measurement data, and calculating an equivalent average radiance of the point source target includes:
determining the radiation temperature corresponding to the average value of the infrared measurement data by an infrared radiation calibration technology;
selecting a point source target area according to a preset threshold;
and calculating the equivalent average radiant brightness of each point source target point by point based on the radiant temperature corresponding to the infrared measurement data average value and the selected point source target area.
Optionally, the determining, by an infrared radiometric calibration technique, a radiation temperature corresponding to the average value of the infrared measurement data includes:
acquiring a plurality of groups of calibration data; each group of calibration data comprises the radiation temperature and the radiation brightness of the black body radiation source and the corresponding infrared radiation imaging gray value;
and fitting each group of calibration data by a least square method, wherein the expression of the fitting curve is as follows:
L(T)＝K*DL(T)+b
wherein K represents the slope of the fitted curve, b represents the intercept of the fitted curve, L (T) represents the radiance, DL (T) represents the infrared radiation imaging gray value, and T represents the radiation temperature;
and determining the corresponding relation between the gray value of the average value of the infrared measurement data and the radiation temperature based on the fitted curve, and further determining the radiation temperature corresponding to the average value of the infrared measurement data.
Optionally, the calculating, point by point, an equivalent average radiance of each point source target based on the radiant temperature corresponding to the average value of the infrared measurement data and the selected point source target area includes:
based on the selected point source target area, calculating the spectral radiation emittance of the equivalent black body of each point source target point by point, wherein the expression is as follows:
wherein M (lambda, T) represents the spectral radiation emittance of the point source target equivalent blackbody and the unit is W.m-2·μm-1T denotes radiation temperature, λ denotes wavelength, c denotes light speed, and c is 3 × 108m·s-1H represents Planck constant, h is 6.626 × 10- 34J · s, k denotes boltzmann constant, k 1.38 × 10-23W·s·K-1；
Based on the spectral radiation emittance of the point source target equivalent blackbody, calculating the equivalent average radiant brightness of the point source target with the radiant temperature T, wherein the expression is as follows:
wherein L istRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1；λ1～λ2And representing the measuring wave band range corresponding to the average value of the infrared measuring data.
Optionally, the illuminance of the point source target is calculated based on the equivalent average radiance of the point source target and the solid angle that the ground-based detection system lays relative to the point source target, and the following formula is adopted:
Et＝Lt·Ω
wherein E istTo representIllumination of point source target in W.m-2；LtRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1(ii) a Omega represents the solid angle subtended by the ground-based detection system with respect to the point source target in Sr.
The invention also provides a point source target infrared radiation quantitative processing device based on frame accumulation, which comprises:
the acquisition unit is used for acquiring point source target infrared measurement data measured by the ground detection system;
the preprocessing unit is used for carrying out moving average frame accumulation processing on the basis of the point source target infrared measurement data to obtain an average value of the infrared measurement data after frame accumulation;
the brightness calculation unit is used for selecting a point source target area based on the infrared measurement data average value and calculating the equivalent average radiation brightness of the point source target;
and the illumination calculation unit is used for calculating the illumination of the point source target based on the equivalent average radiant brightness of the point source target and a solid angle formed by the ground-based detection system relative to the point source target.
The invention also provides computer equipment which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the point source target infrared radiation quantitative processing method based on frame accumulation when executing the computer program.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above-mentioned methods for quantitatively processing point source target infrared radiation based on frame accumulation.
The technical scheme of the invention has the following advantages: the invention relates to a point source target infrared radiation quantitative processing method and device based on frame accumulation, computer equipment and a computer readable storage medium.
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FIG. 1 is a schematic diagram of steps of a method for processing infrared radiation quantitatively of a point source target based on frame accumulation in an embodiment of the present invention;
FIG. 2(a) is an infrared radiation image corresponding to infrared measurement data of a point source target measured by a ground-based detection system in an embodiment of the present invention; fig. 2(b) an infrared radiation image after a moving average frame accumulation process with a frame accumulation number of 5 in the embodiment of the present invention; FIG. 2(c) a processed infrared radiation image having a frame accumulation number of 10 in the embodiment of the present invention;
FIG. 3 is a graph illustrating the results of illumination of a point source target in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a point source target infrared radiation quantitative processing device based on frame accumulation in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As mentioned above, since the target of the star object is far from the ground-based detection system, the amplitude variation of the quantitative analysis result based on the ground-based detection system is large, which results in relatively low precision and poor stability of the quantitative processing result. Frame accumulation is a technique used in a camera to increase the exposure of a single-frame image by charge accumulation, thereby improving the sensitivity of the camera to the single-frame image. Frame accumulation utilizes the technology of computer memory to form a clear picture by continuously accumulating blurred pictures due to insufficient light, thereby improving the signal-to-noise ratio of the target. Therefore, the invention preprocesses the original data of the foundation detection system through frame accumulation and analyzes the preprocessed data through infrared quantitative processing so as to improve the stability and the accuracy of the quantitative analysis result of the star target.
As shown in fig. 1, a method for quantitatively processing point source target infrared radiation based on frame accumulation according to an embodiment of the present invention includes:
102, performing moving average frame accumulation processing on the basis of the acquired point source target infrared measurement data to obtain an average value of the infrared measurement data after frame accumulation; step 102 is also a step of preprocessing the original data to obtain preprocessed data;
104, selecting a point source target area based on the average value of the infrared measurement data after frame accumulation, and calculating the equivalent average radiance of the point source target;
and 106, calculating the illumination of the point source target based on the equivalent average radiance of the point source target and the solid angle formed by the ground-based detection system relative to the point source target.
For a distant point source target, the brightness is usually higher than the background, and is irrelevant to the background, and it is an isolated bright spot in the image, belonging to the high frequency component in the image. For the infrared background, mainly the low-frequency part with large area and slow change is usually distributed in large area continuously in space, and is in a gradual transition state in intensity, and the adjacent pixels have strong correlation. The method is characterized in that the original measurement data is preprocessed by adopting a sliding average frame accumulation method aiming at the point source target infrared radiation characteristics in a remote point source target infrared radiation image, and because the point source target is irrelevant to the background in the image, the luminance of the point source target in the original measurement data is only subjected to accumulated average by adopting a multi-frame accumulation averaging method, the background data in the infrared image is not influenced, and the average signal-to-noise ratio of the infrared measurement data is further improved.
The invention provides a quantitative processing method of point source target infrared radiation, aiming at the characteristics of images measured by a star point source target infrared radiation foundation detection system, through analyzing the relevance between continuous frames of star point source target infrared radiation images, the invention provides a method for preprocessing original infrared radiation image data based on frame accumulation, and then quantitatively analyzing and processing the preprocessed image data.
Further, the step 102 performs a moving average frame accumulation process, which is implemented by using the following formula:
Imagei′＝(Imagei+Imagei+1+…+Imagei+n)/n
wherein, the Imagei' represents the average value of the accumulated infrared measurement data, Image, of the ith frameiAnd (3) representing the obtained point source target infrared measurement data of the ith frame, namely the original data of the ith frame, wherein n represents the frame accumulation number, the value range of n is (2, the frame number of the measurement data is-1), the measurement data is the original data obtained in the step 100, and the frame number of the measurement data is the total frame number of the measured point source target infrared measurement data.
The frame accumulation processing is carried out on the original data by adopting a moving average method, so that the signal to noise ratio can be improved, and meanwhile, the correlation between continuous frames of the preprocessed data (namely the average value of the infrared measurement data after frame accumulation) of the point source target can be ensured.
In some optional embodiments, the method for quantitatively processing infrared radiation of a point source target further includes, after step 100 and before step 102:
step 101, registering each frame of point source target infrared measurement data by taking the position of the maximum brightness point as a reference.
In consideration of the fact that a point source target may generate jitter or displacement in the measurement process of the ground-based detection system, errors caused by jitter and displacement of the point source target can be reduced through registration, multi-frame accumulation is carried out only by taking the maximum brightness point in image data as a reference, averaging is carried out, an interpolation method is not adopted, the effectiveness of a subsequent quantitative processing result can be ensured, and interference caused by registration is avoided.
In some alternative embodiments, step 104 comprises:
determining the radiation temperature corresponding to the obtained average value of the infrared measurement data by an infrared radiation calibration technology;
selecting a point source target area, namely local infrared radiation image data containing a point source target according to a preset threshold value for the obtained average value of the infrared measurement data;
and calculating the equivalent average radiant brightness of each point source target point by point based on the radiant temperature corresponding to the average value of the infrared measurement data and the selected point source target area.
The infrared radiometric calibration is a basis for realizing quantitative infrared radiometric measurement, and the currently common infrared radiometric calibration technology mainly sets the result of measurement by taking a black body radiation source as a standard within a certain integration time by an infrared thermal imager in a ground detection system, and establishes a calibration function relationship by fitting based on the radiation temperatures of a plurality of groups of black body radiation sources, the radiation brightness of the black body radiation sources, and the measured infrared radiometric imaging gray values corresponding to the black body radiation sources. Since the tests of the foundation detection system are all measurements under conventional measurement conditions, a linear fitting mode is commonly used.
Further, in step 104, determining a radiation temperature corresponding to the average value of the infrared measurement data by using an infrared radiation calibration technique, specifically including:
acquiring a plurality of groups of calibration data; each group of calibration data comprises the radiation temperature of the black body radiation source, the radiation brightness of the black body radiation source and a corresponding infrared radiation imaging gray value;
and fitting each group of calibration data by a least square method, wherein the expression of the fitting curve is as follows:
L(T)＝K*DL(T)+b
wherein K represents the slope of the fitted curve, b represents the intercept of the fitted curve, L (T) represents the radiant brightness of the blackbody radiation source, DL (T) represents the infrared radiation imaging gray value, and T represents the radiant temperature of the blackbody radiation source;
and determining the corresponding relation between the gray value of the average infrared measurement data and the radiation temperature based on the fitted curve, and further determining the radiation temperature corresponding to the average infrared measurement data, namely determining the radiation temperature of the target generating the average infrared measurement data.
According to the corresponding relation between the radiation temperature of the black body radiation source and the corresponding infrared radiation imaging gray value, the corresponding relation between the radiation temperature of the point source target and the gray value of the infrared measurement data average value can be determined, and then the corresponding radiation temperature can be determined based on the gray value of the infrared measurement data average value.
Further, in step 104, calculating the equivalent average radiance of each point source target point by point based on the radiant temperature corresponding to the average value of the infrared measurement data and the selected point source target area, specifically including:
based on the selected point source target area, calculating the spectral radiation emittance of the equivalent black body of each point source target point by point, wherein the expression is as follows:
wherein M (lambda, T) represents the spectral radiation emittance of the point source target equivalent blackbody and the unit is W.m-2·μm-1T denotes radiation temperature, λ denotes wavelength, c denotes light speed, and c is 3 × 108m·s-1H represents Planck constant, h is 6.626 × 10- 34J · s, k denotes boltzmann constant, k 1.38 × 10-23W·s·K-1；
Based on the spectral radiation emittance of the point source target equivalent blackbody, calculating the equivalent average radiant brightness of the point source target with the radiant temperature T, wherein the expression is as follows:
wherein L istRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1；λ1～λ2And the measurement waveband range corresponding to the average value of the infrared measurement data is represented.
In some alternative embodiments, the illuminance of the point source target is calculated in step 106, and the calculation is performed according to the following formula:
Et＝Lt·Ω
wherein E istRepresenting the illumination of the point source target in W.m-2；LtRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1(ii) a Omega represents the solid angle subtended by the ground-based detection system with respect to the point source target in Sr.
In this embodiment, the quantitative infrared radiation processing of the point source target can be finally realized by calculating the equivalent average radiance of the point source target and determining the solid angle, relative to the point source target, of the ground-based detection system according to the ground-based detection system, so as to obtain the illuminance of the point source target.
As shown in fig. 2(a) to fig. 3, in a specific embodiment, the verification calculation is performed based on raw data of a ground-based detection system of a certain star-like point source target, fig. 2(a) shows an image obtained from the 1 st frame of raw data measured by the ground-based detection system, i.e., an infrared radiation image corresponding to infrared measurement data of the point source target, fig. 2(b) shows an image obtained by averaging 1 to 5 th frames of raw data, i.e., an infrared radiation image obtained by performing a moving average frame accumulation process with a frame accumulation number of 5 (n-5) on raw data, fig. 2(c) shows an image obtained by averaging 1 to 10 th frames of raw data, i.e., an infrared radiation image obtained by performing a moving average frame accumulation process with a frame accumulation number of 10 (n-10) on raw data, fig. 3 shows a result graph of illuminance of the point source target, the method for processing the infrared radiation of the point source target comprises the steps of directly calculating an illumination result of the point source target based on original data (namely, calculating illumination and original data of the original data), performing moving average frame accumulation processing with a frame accumulation number of 5(n is 5) on the original data to obtain the illumination result of the point source target (namely, calculating illumination (n is 5) and performing frame accumulation (5)) by using the method for processing the infrared radiation of the point source target, and performing moving average frame accumulation processing with a frame accumulation number of 10(n is 10) on the original data to obtain the illumination result of the point source target (namely, calculating illumination (n is 10) and performing frame accumulation (10)) by using the method for processing the infrared radiation of the point source target, wherein the specific data are shown in table 1:
TABLE 1 illumination results data for Point Source target
As can be seen from fig. 3 and table 1, the processing result of the point source target processed by the moving average frame accumulation preprocessing is more stable than the processing result of the original data, and the signal-to-noise ratio can be improved.
As shown in fig. 4, the present invention further provides a device for quantitatively processing infrared radiation of a point source target based on frame accumulation, which comprises: an acquisition unit 400, a preprocessing unit 402, a luminance calculation unit 404, and an illuminance calculation unit 406, wherein:
the obtaining unit 400 is configured to obtain point source target infrared measurement data measured by a ground-based detection system;
the preprocessing unit 402 is configured to perform moving average frame accumulation processing on the basis of the point source target infrared measurement data to obtain an average value of the infrared measurement data after frame accumulation;
the brightness calculation unit 404 is configured to select a point source target area based on the average value of the infrared measurement data, and calculate an equivalent average radiation brightness of the point source target;
the illumination calculation unit 406 is configured to calculate the illumination of the point source target based on the equivalent average radiance of the point source target and the solid angle spanned by the ground-based detection system with respect to the point source target.
The above-mentioned information interaction, execution process and other contents between the units of the device for quantitatively processing point source target infrared radiation based on frame accumulation are based on the same concept as the method embodiment of the present invention, and specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
In particular, in some preferred embodiments of the present invention, there is also provided a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for processing infrared radiation of point sources quantitatively based on frame accumulation in any one of the above embodiments when executing the computer program.
In other preferred embodiments of the present invention, there is further provided a computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method for processing infrared radiation quantitatively for point sources based on frame accumulation according to any of the above embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the embodiments of the method for processing infrared radiation quantitatively from a point source based on frame accumulation, and will not be described repeatedly.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A point source target infrared radiation quantitative processing method based on frame accumulation is characterized by comprising the following steps:
acquiring point source target infrared measurement data measured by a foundation detection system;
performing moving average frame accumulation processing on the point source target infrared measurement data to obtain an infrared measurement data average value after frame accumulation;
selecting a point source target area based on the average value of the infrared measurement data, and calculating the equivalent average radiance of the point source target;
and calculating the illumination of the point source target based on the equivalent average radiant brightness of the point source target and the solid angle formed by the ground-based detection system relative to the point source target.
2. The method for quantitatively processing point source target infrared radiation based on frame accumulation according to claim 1, characterized in that:
the method for performing moving average frame accumulation processing based on the point source target infrared measurement data is realized by adopting the following formula:
Imagei′＝(Imagei+Imagei+1+…+Imagei+n)/n
wherein, the Imagei' denotes the average value of the IR measurement data, Image, of the i-th frameiAnd (3) representing point source target infrared measurement data of the ith frame, wherein n represents the frame accumulation number, and the value range of n is (2, the frame number of the measurement data is-1).
3. The method for quantitatively processing point source target infrared radiation based on frame accumulation according to claim 1, characterized in that:
after the point source target infrared measurement data measured by the ground-based detection system is obtained and before the moving average frame accumulation processing is performed on the basis of the point source target infrared measurement data, the method further includes:
and registering the infrared measurement data of the point source target of each frame by taking the position of the maximum brightness point as a reference.
4. The method for quantitatively processing point source target infrared radiation based on frame accumulation according to claim 1, characterized in that:
selecting a point source target area based on the infrared measurement data average value, and calculating the equivalent average radiance of the point source target, wherein the method comprises the following steps:
determining the radiation temperature corresponding to the average value of the infrared measurement data by an infrared radiation calibration technology;
selecting a point source target area according to a preset threshold;
and calculating the equivalent average radiant brightness of each point source target point by point based on the radiant temperature corresponding to the infrared measurement data average value and the selected point source target area.
5. The method of claim 4, wherein the method comprises:
the determining the radiation temperature corresponding to the average value of the infrared measurement data by the infrared radiation calibration technology comprises the following steps:
acquiring a plurality of groups of calibration data; each group of calibration data comprises the radiation temperature and the radiation brightness of the black body radiation source and the corresponding infrared radiation imaging gray value;
and fitting each group of calibration data by a least square method, wherein the expression of the fitting curve is as follows:
L(T)＝K*DL(T)+b
wherein K represents the slope of the fitted curve, b represents the intercept of the fitted curve, L (T) represents the radiance, DL (T) represents the infrared radiation imaging gray value, and T represents the radiation temperature;
and determining the corresponding relation between the gray value of the average value of the infrared measurement data and the radiation temperature based on the fitted curve, and further determining the radiation temperature corresponding to the average value of the infrared measurement data.
6. The method of claim 4, wherein the method comprises:
calculating the equivalent average radiance of each point source target point by point based on the radiant temperature corresponding to the infrared measurement data average value and the selected point source target area, wherein the calculating step comprises the following steps:
based on the selected point source target area, calculating the spectral radiation emittance of the equivalent black body of each point source target point by point, wherein the expression is as follows:
wherein M (lambda, T) represents the spectral radiation emittance of the point source target equivalent blackbody and the unit is W.m-2·μm-1T denotes radiation temperature, λ denotes wavelength, c denotes light speed, and c is 3 × 108m·s-1H represents Planck constant, h is 6.626 × 10-34J · s, k denotes boltzmann constant, k 1.38 × 10-23W·s·K-1；
Based on the spectral radiation emittance of the point source target equivalent blackbody, calculating the equivalent average radiant brightness of the point source target with the radiant temperature T, wherein the expression is as follows:
wherein L istRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1；λ1～λ2And representing the measuring wave band range corresponding to the average value of the infrared measuring data.
7. The method for quantitatively processing point source target infrared radiation based on frame accumulation according to claim 1, characterized in that:
the illumination of the point source target is calculated based on the equivalent average radiance of the point source target and the solid angle formed by the ground-based detection system relative to the point source target, and the following formula is adopted:
Et＝Lt·Ω
wherein E istRepresenting the illumination of the point source target in W.m-2；LtRepresents the equivalent average radiance of the point source target in W.m-2·Sr-1(ii) a Omega represents the solid angle subtended by the ground-based detection system with respect to the point source target in Sr.
8. A point source target infrared radiation quantitative processing device based on frame accumulation is characterized by comprising:
the acquisition unit is used for acquiring point source target infrared measurement data measured by the ground detection system;
the preprocessing unit is used for carrying out moving average frame accumulation processing on the basis of the point source target infrared measurement data to obtain an average value of the infrared measurement data after frame accumulation;
the brightness calculation unit is used for selecting a point source target area based on the infrared measurement data average value and calculating the equivalent average radiation brightness of the point source target;
and the illumination calculation unit is used for calculating the illumination of the point source target based on the equivalent average radiant brightness of the point source target and a solid angle formed by the ground-based detection system relative to the point source target.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the method for frame accumulation based quantitative processing of point source target infrared radiation according to any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the method for quantitatively processing point source infrared radiation based on frame accumulation according to any one of claims 1 to 7.
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| US20100246631A1 (en) * | 2009-03-24 | 2010-09-30 | K-Space Associates, Inc. | Blackbody fitting for temperature determination |
| CN107957297A (en) * | 2017-11-23 | 2018-04-24 | 北京环境特性研究所 | A kind of thermal imaging system radiation calibration precision analytical method |
| CN110411585A (en) * | 2019-08-05 | 2019-11-05 | 中国科学院光电技术研究所 | A kind of high-precision infrared radiation measurement method |
| CN110608800A (en) * | 2019-10-23 | 2019-12-24 | 北京环境特性研究所 | Method, device and system for measuring solar radiation illuminance of atmospheric absorption band |
| CN112345090A (en) * | 2019-08-08 | 2021-02-09 | 中国科学院长春光学精密机械与物理研究所 | Method and device for measuring infrared radiation of point target and readable storage medium |
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Patent Citations (5)
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| US20100246631A1 (en) * | 2009-03-24 | 2010-09-30 | K-Space Associates, Inc. | Blackbody fitting for temperature determination |
| CN107957297A (en) * | 2017-11-23 | 2018-04-24 | 北京环境特性研究所 | A kind of thermal imaging system radiation calibration precision analytical method |
| CN110411585A (en) * | 2019-08-05 | 2019-11-05 | 中国科学院光电技术研究所 | A kind of high-precision infrared radiation measurement method |
| CN112345090A (en) * | 2019-08-08 | 2021-02-09 | 中国科学院长春光学精密机械与物理研究所 | Method and device for measuring infrared radiation of point target and readable storage medium |
| CN110608800A (en) * | 2019-10-23 | 2019-12-24 | 北京环境特性研究所 | Method, device and system for measuring solar radiation illuminance of atmospheric absorption band |
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