A method and device for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera

Abstract

The present invention discloses a method and device for rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground, including: combining a plane target embedded with a tungsten wire heating hole with a collimator to construct an infinitely distant target, establishing a mathematical model for ground calibration of a space-based infrared telephoto optical camera; establishing a geometric center positioning model for feature points of infrared optical images; solving the positioning deviation of image feature points based on a perspective projection imaging model and image feature point positioning uncertainty constraints; compensating the feature point positioning deviation to the feature point to obtain accurate feature point coordinates, substituting them into the calibration model to solve the camera internal parameters; establishing a calibration system device to achieve rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground. The present invention is suitable for rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground, and has the advantages of high precision, high speed, low cost, etc., and is of great significance for ensuring high-resolution optical imaging and high-precision positioning in aerospace and other fields.

Description

Technical Field

[0001] The present invention relates to the technical field of optical sensor calibration, and in particular to a method and device for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera. Background Art

[0002] As the core equipment for detection and early warning of aircraft defense systems, the space-based infrared detection and tracking system can provide early warning for strategic and tactical aircraft worldwide, and can track them reliably and stably from the boost phase. It can monitor and track the entire flight of global aircraft, and has early warning capabilities with global all-weather coverage, complete functions, and real-time response. It has the characteristics of long distance, high sensitivity, and large range, and is widely used in space-based surveillance, missile early warning and other fields, and is of great strategic significance to ensuring national security.

[0003] The infrared payload of the space-based infrared optical system includes a high-speed scanning infrared detector and a high-resolution staring infrared detector, both of which are three-color infrared detectors in the short infrared, mid-infrared and ground visible bands. They use passive radiation cooling and have high agile pointing control capabilities. However, due to the processing technology of the optical system, the optical lens still has a certain degree of distortion, and ground calibration is required before entering orbit to ensure high-precision positioning on orbit; on the other hand, due to the poor imaging quality and low signal-to-noise ratio caused by the photosensitive chip, accurate image feature extraction cannot be achieved, resulting in large system calibration errors and inability to guarantee on-orbit measurement accuracy; at the same time, the focal length of the lens of the space-based infrared optical system is relatively long, and conventional short-focus lenses are no longer suitable for ground calibration.

[0004] At present, most telephoto optical cameras are calibrated on the ground using the precision angle measurement method. Wu Guodong et al. (Wu Guodong, Han Bing, He Xu. Laboratory calibration method of geometric parameters of linear array CCD cameras using the precision angle measurement method [J]. Optics and Precision Engineering, 2007(10):1628-1632.) used a high-precision two-dimensional precision turntable and a parallel light tube to calibrate the telephoto linear array camera; Chen Xiaojie et al. (Lu Xiaojie, Han Guicheng et al. Research on calibration technology of binocular ranging system of thermal infrared camera [J]. Laser & Infrared, 2020(5):567-572.) used a circular made of black aluminum oxide and nickel-plated neodymium iron. The dot matrix plane target is used to calibrate the infrared binocular camera; Wang Ziang et al. (Wang Ziang, Liu Bingqi et al. Calibration of ultra-wide-angle infrared camera based on active infrared radiation calibration plate [J]. Optoelectronic Technology and Application, 2019(5):700-703) used a calibration method based on active infrared radiation calibration plate to calibrate the ultra-wide-angle infrared camera; Liu Jian (Research on Calibration and Registration Technology of Heterogeneous Non-coaxial Measurement Cameras [D] 2019) proposed a calibration method based on a plane target combined with a parallel light tube to realize the calibration of heterogeneous non-coaxial visible light and infrared cameras, thus realizing the fusion of infrared and visible light cameras.

[0005] At present, the key technical difficulties that restrict the ground calibration of space-based infrared telephoto optical cameras mainly include: (1) The existing methods mostly rely on placing luminous targets in space to image infrared cameras, and use camera calibration methods based on plane targets to calibrate infrared cameras. This calibration mode cannot be implemented for space-based telephoto infrared optical cameras and cannot be directly applied to telephoto infrared camera calibration; (2) The infrared image contrast is low, and the accuracy of target feature point extraction is easily affected by image noise, resulting in large errors in the positioning of the image geometric center, making it difficult to achieve high-precision calibration of space-based infrared telephoto optical cameras. Therefore, breaking through the above key technical difficulties and studying a fast and high-precision calibration method for space-based infrared telephoto optical cameras that can be implemented on the ground is of great significance to improving the accuracy of space-based surveillance and tracking and achieving high-precision rendezvous positioning. It is an important key technology that needs to be solved urgently. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a method and device for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera, which has the characteristics of compact structure, high calibration efficiency, strong versatility, simple system composition, etc., and can realize rapid and high-precision ground calibration of a space-based infrared telephoto optical camera in a laboratory.

[0007] In order to achieve the above object, the present invention adopts the following technical scheme:

[0008] A method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera, characterized in that it comprises the following steps:

[0009] Step a: In a ground laboratory environment, a fast and high-precision ground calibration device for a space-based infrared telephoto optical camera is built, using only a plane target embedded with a tungsten heating hole and a collimator, and setting up related supporting power supply, triggering, data acquisition and processing devices to achieve high-precision ground calibration of the space-based infrared telephoto optical camera before launch;

[0010] Step b, modeling and extracting image feature points, collecting the luminous feature point image in the infrared image, taking the centroid of the circular spot image feature points based on the multi-scale model for preliminary extraction, and obtaining the initial value of the geometric center coordinates of the image feature points;

[0011] Step c, by modeling and analyzing the positioning uncertainty of the image around the image feature point, a mathematical solution between the positioning accuracy of each image feature point and the image noise is obtained;

[0012] Step d, by establishing a mapping relationship between the infinite plane target feature points and the collected image feature points, the positioning deviation of each feature point is nonlinearly optimized, and the minimum reprojection error is used as the objective function, and the positioning deviation of each feature point is obtained through nonlinear optimization;

[0013] Step e, compensating the feature point positioning deviation obtained in step d to the feature point coordinates in step b, obtaining an accurate solution of the image feature points, and substituting it into the space-based infrared telephoto optical camera model for calibration;

[0014] Step f, swing the infrared telephoto optical camera to change the incident direction of the infinitely distant target, which can cover the entire optical camera field of view, collect multiple groups of image feature point images in sequence, and finally substitute them into the above steps to finally solve and obtain the internal parameters of the optical camera.

[0015] Furthermore, in step a, a plane target embedded with a tungsten wire heating hole is installed on the focal plane of the collimator to generate an infinite plane target, which directly enters the infrared telephoto camera to be calibrated, thereby building a ground-based fast and high-precision calibration device suitable for space-based infrared telephoto optical cameras.

[0016] Furthermore, in the step b, the centroid extraction of image feature points based on adaptive multi-scale is adopted, and all feature light point images are extracted at the optimal scale.

[0017] Furthermore, the step c is based on the initial values ​​of the image feature point coordinates in step b, and obtains a mathematical analytical solution between the image feature point positioning uncertainty and the image noise by modeling and analyzing the image feature point image.

[0018] Furthermore, the step d establishes a mapping equation between the infinite plane target feature points and the captured image feature points based on the initial values ​​of the image feature point coordinates in step b and the uncertainty of the feature point positioning in step c, performs quantitative nonlinear optimization on the positioning deviation of each feature point, establishes an objective function with the minimum target reprojection error, and obtains the positioning deviation value of each feature point through nonlinear optimization.

[0019] Furthermore, in step e, the positioning deviation of the image feature points solved in step d is compensated to each feature point to obtain an accurate solution of the geometric center coordinates of each feature point; finally, in step f, a telephoto optical camera is placed to change the incident direction of the infinite plane target to obtain multiple images covering the entire camera field of view; steps b, c, d, and e are repeated in sequence, and the space-based infrared optical camera calibration model is substituted to solve the camera internal parameters.

[0020] The present invention also provides a ground-based rapid high-precision calibration device for a space-based infrared telephoto optical camera, comprising: a target imaging and image acquisition module and an infinite target module; wherein the target imaging and image acquisition module comprises a telephoto infrared optical camera, which is composed of a telephoto optical lens and an infrared camera imaging target, and is used to image an infinite target; the infinite target module is composed of a plane target embedded with a tungsten wire heating hole and a collimator, the plane target is installed on the focal plane of the collimator, and the two constitute an infinite luminous target.

[0021] The beneficial effects of the present invention compared with the prior art are:

[0022] The present invention proposes a novel method and device for rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground. The present invention discloses a method and device for rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground, comprising: combining a plane target embedded with a tungsten wire heating hole with a collimator to construct an infinitely distant target, and establishing a ground calibration mathematical model suitable for a space-based infrared telephoto optical camera; deeply analyzing the geometric center positioning model of infrared optical image feature points, and establishing a mathematical solution for the uncertainty of the image positioning of the luminous point; based on the perspective projection imaging model and the image feature point positioning uncertainty constraint, nonlinear optimization is performed to solve the positioning deviations of all image feature points; the desired feature point positioning deviation is compensated to the corresponding feature point, and the accurate feature point coordinates are obtained, which are substituted into the calibration model to solve the camera internal parameters; a calibration system device is established to realize rapid high-precision calibration of a space-based infrared telephoto optical camera on the ground. The present invention is suitable for rapid and high-precision calibration of a space-based infrared telephoto optical camera in a ground laboratory environment, and has the advantages of high precision, high speed, low cost, etc., and is of great significance for ensuring high-resolution optical imaging and high-precision positioning in aerospace and other fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera according to the present invention;

[0024] Figure 2 This is a schematic diagram of a fast and high-precision ground calibration device for a space-based infrared telephoto optical camera according to the present invention;

[0025] Figure 3 Schematic diagram of the imaging and positioning uncertainty distribution of target feature points using a space-based infrared telephoto optical camera. DETAILED DESCRIPTION

[0026] The present invention combines a plane target embedded with a tungsten wire heating hole with a parallel light tube to construct an infinite target, and based on a perspective projection imaging model and image feature point positioning uncertainty constraints, nonlinear optimization is performed to solve the positioning deviations of all image feature points; the required feature point positioning deviations are compensated to the corresponding feature points to obtain accurate feature point coordinates, which are substituted into a calibration model to solve the camera internal parameters; a calibration system device is established to achieve rapid and high-precision ground calibration of a space-based infrared telephoto optical camera.

[0027] like Figure 1 As shown, a method for rapid high-precision ground calibration of a space-based infrared telephoto optical camera of the present invention comprises the following steps:

[0028] Step 11: In a ground laboratory environment, build a ground-based rapid and high-precision calibration device for space-based infrared telephoto optical cameras.

[0029] A plane target embedded with a tungsten filament heating hole is installed on the focal plane of the parallel light tube to generate an infinite plane target, which directly enters the infrared telephoto camera to be calibrated, thus building a ground-based fast and high-precision calibration device and system suitable for space-based infrared telephoto optical cameras.

[0030] Step 12: Image feature point modeling and extraction, including:

[0031] Step 12.1: Figure 3 For high-noise planar target images, a high-precision image feature point extraction method based on the optimal scale is adopted to achieve high-precision extraction of feature points under different scale conditions.

[0032] Let I(u,v) be the grayscale distribution function of the image, and any pixel p in the image = [u,v] T The Hessian matrix of is,

[0033]

[0034] Among them, r uu , r uv , r vv is the second-order partial derivative after convolution of I(u,v) with Gaussian kernel, obtained by convolution of I(u,v) with the second-order derivative convolution kernel of Gaussian kernel. The optimal value of Gaussian convolution kernel is determined according to the size of light spot image to ensure the center positioning accuracy of light spot image. The present invention adopts - coordinate normalization to obtain the normalization operator:

[0035]

[0036] in, r is the spot radius, in pixels. According to the spatial distribution of operator C, it can be concluded that the spot center condition is that C(u,v) is greater than 0 and is a local maximum. The actual image is affected by noise, and the precise spot radius cannot be accurately obtained. Therefore, in order to improve the accuracy of spot center positioning, the maximum value C(u,v) corresponding to different C is selected to determine the optimal spot radius σ opt .

[0037] Step 12.2: Determine the uncertainty of the positioning of the image feature points. Here, the following steps are specifically included:

[0038] Let p = (u0, v0) be the pixel-level coordinates of the target feature point, and p1 = (u1, v1) be the sub-pixel-level coordinates. Take the ideal positioning point of the target feature point in the noise-free image as the coordinate origin (0, 0), and u and v as the coordinate axes to establish the O-st coordinate system. In this coordinate system, the sub-pixel-level coordinates of the target feature point p1 are (s0, t0). Therefore, the gray value of the point after convolution can be expressed by the second-order Taylor expansion at (0, 0), that is:

[0039]

[0040] in, I(s,t) in the new coordinate system with a standard deviation of σ g The gray value at (0,0) after convolution of the Gaussian template, are the first-order partial derivatives at (0,0), are the second-order partial derivatives at (0,0). As mentioned above, they can be decomposed into where f ss , f st , f tt They are the second-order partial derivatives of the ideal image after convolution, n ss , n st , n tt are the second-order partial derivatives after image noise convolution. According to the properties of (s0, t0), the first-order derivative of formula (3) at the center of the feature point relative to s and t is zero, that is:

[0041]

[0042] This can give the exact position of the feature point.

[0043]

[0044] Since the grayscale distribution of the light spot in the ideal image satisfies the Gaussian distribution, it can be expressed as where σ w is the standard deviation, is the maximum grayscale value, and A is the grayscale coefficient. s (0,0)=0,f s (0,0) is the first-order partial derivative of s at (0,0) after Gaussian convolution of the ideal image, and n ss (0,0)<<f ss (0,0). According to the Gaussian distribution characteristics, in the convolution function, at (s=0, t=0), u and v satisfy the exchangeability, f ss (0,0)=f tt (0,0), f st (0,0) = 0. Therefore, the positioning variance of the center point coordinates can be expressed as:

[0045]

[0046] From the above content, we can see that in the Gaussian optimal standard deviation σ g Next but,

[0047]

[0048] So we have σ g =σ w Substituting into equation (6), the center point coordinate positioning variance can be expressed as:

[0049]

[0050] It can be seen that when choosing the optimal scale σ g , that is, the Gaussian optimal standard deviation can avoid solving the inaccurate σ of the actual image when performing convolution calculation w value, ensuring that the actual uncertainty region is only related to the signal and noise levels. is the variance of the noise n(s,t), K is The maximum value of the grayscale, i.e. Defined as the target feature point image positioning uncertainty U.

[0051] Step 13: Nonlinear optimization solution of image feature point positioning deviation, specifically including the following steps:

[0052] Based on step 12.2, a constraint is established based on the mapping relationship between the infinite plane target feature points and the corresponding image, where the target image points are back-projected onto the target plane, and the distance to the corresponding spatial target points is minimized; an objective function is established based on the feature point positioning uncertainty solved in step 12.2 as a constraint, and a large-scale nonlinear multi-step optimization is used to obtain the feature point positioning deviation.

[0053] Let the i-th position target feature point Q j The homogeneous coordinates p of the projection points of the target j feature points in the image coordinate system are obtained by mapping n(ij) . The feature points p extracted from the image ij With p n(ij) The first objective function is established with the minimum distance between the image and the minimum distance between the image statistics center as constraints:

[0054]

[0055] Among them, D(p ij ,p n(ij) ) indicates p ij With p n(ij) distance, M represents the number of target placement positions, and N represents the number of target feature points.

[0056] Among them, p ij Homogeneous coordinates of the point projected back to the target coordinate system in They are The coordinate components of the target feature point Q j and the back-projected target feature points The second objective function is established by taking the minimum distance between the target point and the projection point as the objective function:

[0057]

[0058] Combining the above objective functions (9) and (10), we can get:

[0059] E(a)=e1+e2 (11)

[0060] Among them, E(a) is the overall objective function, and the constraints in the optimization function are:

[0061]

[0062] Where a={Δu ij ,Δv ij}, σ u(ij) and σ v(ij) is the uncertainty of positioning the feature point of the target at the i-th position of the j-th point in the image, where n represents the magnification of the uncertainty, Δu ij and Δv ij is the feature point positioning deviation of the jth point at the ith position of the target in the image.

[0063] Step 14: Compensate for the positioning deviation of the image feature points. The positioning deviation of each feature point can be obtained through the nonlinear optimization in step 13. The positioning compensation of the image feature points can be expressed as p d →p n , that is, the transformation from the initial positioning coordinate point to the accurate coordinate point after compensation. Assuming that the image positioning deviation component of the target feature point caused by image noise and other reasons is Δu, Δv, it can be expressed as:

[0064]

[0065] Step 15: Substitute into the space-based infrared telephoto optical camera calibration model. The ground-based infrared optical camera calibration model adopts a conventional camera calibration model based on a planar target, in which the target external parameters only have rotational components during the solution process.

[0066] In the process of solving the camera internal parameters based on the coordinates of the compensated feature points obtained in step 14, the camera imaging satisfies the pinhole imaging model. Without loss of generality, the camera coordinate systems are respectively c x c y c z c , the image coordinate system is o c u c v c . Let the undistorted feature point image coordinates be p = [u, v, 1] T, the unit is pixel, and its normalized coordinate is p n =[x n ,y n ,1] T , in millimeters. q=[x,y,z,1] T is the coordinate of the characteristic point in the target coordinate system, and the corresponding infinite vector in the infinite target is V r According to the pinhole imaging model, V r The corresponding image point p can be expressed as ρp = K·R t ·V r . Where ρ is a non-zero coefficient, is the camera internal parameter matrix. u0, v0 are the coordinates of the principal point on the image plane, f x , f y are the proportional coefficients in the u and v directions respectively, and γ is the tilt factor of the two axes of the image. R=[r1 r2 r3] 3×3 is the rotation matrix between the infinite target coordinate system and the camera coordinate system. Let F(p) be the distortion function, and let p d =[u d ,v d ,1] T is the homogeneous coordinate of the distorted image point, p n =[x n y n ,1] T is the homogeneous coordinate of the normalized image point, x=u-u0, y=v-v0. The physical model of lens distortion is expressed as,

[0067]

[0068] in, k1, k2, k3 are the radial distortion coefficients of the lens, and p1, p2 are the tangential distortion coefficients. Therefore, the internal parameters of the camera mainly include (f x ,f y ,γ,u0,v0,k1,k2,k3,p1,p2), where f x 、f y are the effective focal lengths of the camera intrinsic parameters to be calibrated, γ is the non-perpendicular factor between the u-axis and the v-axis, u0 and v0 are the principal point coordinate components of the camera intrinsic parameters to be calibrated, k1, k2, k3 are the radial distortion coefficients of the camera intrinsic parameters to be calibrated, and p1 and p2 are the tangential distortion coefficients of the camera intrinsic parameters to be calibrated.

[0069] Step 16: Solve the intrinsic parameters of the optical camera. By swinging the telephoto infrared optical camera, the incident direction of the light of the infinite plane target can be changed, and the imaging in the entire optical camera field of view can be covered. Complete steps 12 to 15 in sequence, first solve the initial value of the intrinsic parameters of the telephoto infrared optical camera, and establish the objective function by minimizing the back projection error of the infinite plane target in space, solve the intrinsic parameters of the camera to be calibrated, and complete the calibration.

[0070] like Figure 2 As shown, the device for implementing the present invention includes a target imaging and image acquisition module and an infinite target module. The target imaging and image acquisition module includes a telephoto infrared optical camera, which is composed of a telephoto optical lens and an infrared camera imaging target, and is used to image an infinite target. The infinite target module is composed of a plane target embedded with a tungsten wire heating hole and a collimator. The plane target is installed on the focal plane of the collimator, and the two constitute an infinite luminous target.

Claims

1. A fast and high-precision ground calibration method for a space-based infrared telephoto optical camera, characterized in that: The steps include: Step a: In a ground laboratory environment, a fast and high-precision ground calibration device for a space-based infrared telephoto optical camera is built, using only a plane target embedded with a tungsten heating hole and a collimator, and setting up related supporting power supply, triggering, data acquisition and processing devices to achieve high-precision ground calibration of the space-based infrared telephoto optical camera before launch; Step b, modeling and extracting image feature points, collecting the luminous feature point image in the infrared image, taking the centroid of the circular spot image feature points based on the multi-scale model for preliminary extraction, and obtaining the initial value of the geometric center coordinates of the image feature points; Step c, by modeling and analyzing the positioning uncertainty of the image around the image feature point, a mathematical solution between the positioning accuracy of each image feature point and the image noise is obtained; Based on the initial coordinate values ​​of the image feature points in step b, the mathematical analytical solution between the image feature point positioning uncertainty and the image noise is obtained by modeling and analyzing the image feature points, including: Constraints are established based on the mapping relationship between the infinite plane target feature points and the corresponding images, where the target image points are back-projected onto the target plane, and the distance to the corresponding spatial target points is minimized; the objective function is established based on the solved feature point positioning uncertainty as a constraint, and the feature point positioning deviation is obtained using large-scale nonlinear multi-step optimization; Order Position target feature points Targeting by mapping The homogeneous coordinates of the projection points of feature points in the image coordinate system ; Feature points extracted from the image and The first objective function is established with the minimum distance between the image and the minimum distance between the image statistics center as constraints: (9) in, express and distance, Indicates the number of target placement positions, Indicates the number of target feature points; Homogeneous coordinates of the point projected back to the target coordinate system , , They are The coordinate components of ; Target feature points and the back-projected target feature points The second objective function is established by taking the minimum distance between the target point and the projection point as the objective function: (10) Combining the above objective function (9) and objective function (10), we get: (11) in, is the overall objective function, and the constraints in the optimization function are: (12) in, , , ; and For the target Position No. The uncertainty of feature point positioning in the image is Indicates the magnification factor of uncertainty, and Target Position No. The positioning deviation of feature points in the image; Step d, by establishing a mapping relationship between the infinite plane target feature points and the collected image feature points, the positioning deviation of each feature point is nonlinearly optimized, and the minimum reprojection error is used as the objective function, and the positioning deviation of each feature point is obtained through nonlinear optimization; Step e, compensating the feature point positioning deviation obtained in step d to the feature point coordinates in step b, obtaining an accurate solution of the image feature points, and substituting it into the space-based infrared telephoto optical camera model for calibration; Step f, swing the infrared telephoto optical camera to change the incident direction of the infinitely distant target, which can cover the entire optical camera field of view, collect multiple groups of image feature point images in sequence, and finally substitute them into the above steps to finally solve and obtain the internal parameters of the optical camera.

2. According to claim 1, a method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera is characterized by: In the step a, a plane target embedded with a tungsten wire heating hole is installed on the focal plane of the collimator to generate an infinite plane target, which directly enters the infrared telephoto camera to be calibrated, thereby building a ground-based fast and high-precision calibration device suitable for space-based infrared telephoto optical cameras.

3. The method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera according to claim 2, characterized in that: In the step b, the centroid extraction of image feature points based on adaptive multi-scale is adopted, and all feature light point images are extracted at the optimal scale.

4. The method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera according to claim 1, characterized in that: The step d is based on the initial value of the image feature point coordinates in step b and the uncertainty of the feature point positioning in step c, establishes a mapping equation between the infinite plane target feature points and the captured image feature points, performs quantitative nonlinear optimization on the positioning deviation of each feature point, establishes an objective function with the minimum target reprojection error, and obtains the positioning deviation value of each feature point through nonlinear optimization.

5. The method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera according to claim 4, characterized in that: The step e compensates the positioning deviation of the image feature points solved in step d to each feature point, and obtains the precise solution of the geometric center coordinates of each feature point; finally, in step f, a telephoto optical camera is placed to change the incident direction of the infinite plane target, and multiple images covering the entire camera field of view are obtained; steps b, c, d, and e are repeated in sequence, and the space-based infrared optical camera calibration model is substituted to solve the camera internal parameters.

6. A device for implementing the method for rapid and high-precision ground calibration of a space-based infrared telephoto optical camera as claimed in any one of claims 1 to 5, characterized in that: include: Target imaging and image acquisition module and infinite target module; wherein, the target imaging and image acquisition module includes a telephoto infrared optical camera, which is composed of a telephoto optical lens and an infrared camera imaging target, and is used to image the infinite target; the infinite target module is composed of a plane target embedded with a tungsten wire heating hole and a parallel light tube, and the plane target is installed on the focal plane of the parallel light tube, and the two constitute an infinite luminous target.

Images