127 results about "Spectral radiation" patented technology

The invention discloses a sky-ground integrated sunlight-induced vegetation chlorophyll fluorescence monitoring system, and belongs to the technical field of remote sensing monitoring. The system provides functions, parameter constraints and cooperation relations of space-based, empty-based and foundation chlorophyll fluorescence information acquisition and data analysis processing and application modules. Spatial scale matching, spectral scale matching, observation angle matching and atmospheric element matching are performed on the acquired sky-ground multi-element data with different scales, so that reflection characteristics, heat dissipation, photochemical indexes, fluorescence emission and atmospheric transmission characteristics during vegetation photosynthesis can be completely acquired; the invention provides a parameter relation and a method for extracting a fluorescence full-spectrum radiation information curve based on oxygen absorption and Fraunhofer dark line. On the basis of sky and landmark calibration and model verification, chlorophyll fluorescence detection of different fineness degrees of global large-range, key areas and ground crown planting scales can be carried out, various stress effects of vegetation can be monitored in real time, and the primary total productivity of the vegetation can be accurately estimated.

The invention provides a vacuum ultraviolet deuterium lamp spectral radiance traceability method, device and equipment, and relates to the technical field of optical metrology. The method comprises the following steps: determining relative spectral distribution of a deuterium lamp in a vacuum ultraviolet band; acquiring the spectral radiation brightness of the deuterium lamp at 200nm under the condition that the black body is used as a standard radiation source; and determining the spectral radiation brightness of the deuterium lamp in the vacuum ultraviolet band according to the relative spectral distribution of the deuterium lamp in the vacuum ultraviolet band and the spectral radiation brightness of the deuterium lamp at 200nm. The method provided by the embodiment of the invention efficiently and accurately realizes the spectral radiance traceability of the vacuum ultraviolet deuterium lamp.

The invention provides a wetland ecological safety early warning method and system based on remote sensing analysis, and the method comprises the steps: firstly obtaining a multi-dimensional remote sensing data set containing multi-temporal imaging, spectral radiation and microwave scattering data in a target wetland region, and carrying out the interpretation to obtain an ecological process signal set; establishing a mapping relation model of the ecological process signal and the wetland ecological safety state, and obtaining a current ecological safety state description; performing cross-process correlation analysis on the ecological process signal to form an ecological process abnormal conduction chain; constructing an early warning trigger node system and generating an early warning rule; and acquiring real-time multi-dimensional remote sensing data, interpreting the real-time multi-dimensional remote sensing data, matching the interpreted real-time multi-dimensional remote sensing data with an early warning rule, and generating wetland ecological safety early warning information containing an abnormal ecological process link, an abnormal conduction path and an early warning response node. The wetland ecological safety risk can be comprehensively and accurately pre-warned, and the stability of the wetland ecological system is guaranteed.

The invention discloses a power grid facility safety-oriented forest fire spreading early warning method and system, and particularly relates to the field of cloud edge collaboration and danger prediction.The method comprises the steps of arranging a plurality of monitoring nodes in a power grid protection area, collecting monitoring data of temperature, humidity, wind speed, smoke concentration and spectral radiation, and performing early warning on forest fire spreading; matching the monitoring data of each monitoring node with the corresponding acquisition time, and constructing a multi-node environment data set according to a matching result; according to the method, a time rhythm index and multi-node difference identification mechanism is established under a cloud edge collaborative architecture, and an integrated danger prediction process of data synchronization, difference correction and trend solution is realized, so that the problems of virtual height early warning and response lag caused by misjudgment of node data asynchronization and cloud fusion in existing forest fire monitoring are solved.

The invention discloses a three-dimensional combustion multi-parameter field inversion method based on two-dimensional infrared imaging and hyperspectral light field imaging, and belongs to the technical field of flame combustion detection. The invention aims to solve the problem of low reconstruction precision caused by limited spontaneous radiation information and poor low-temperature region signal sensitivity in the existing combustion flow field temperature field reconstruction. Comprising the following steps: obtaining a flame two-dimensional infrared temperature distribution image and a flame hyperspectral light field image; a two-dimensional blackbody radiation intensity curve and a three-dimensional blackbody radiation intensity curve are obtained through calibration according to the blackbody radiation law; combining the corresponding image gray values to obtain two-dimensional infrared radiation intensity, three-dimensional visible radiation intensity and three-dimensional infrared radiation intensity; determining a temperature threshold value of the high-temperature area; constructing a multispectral radiation source term matrix equation, and reconstructing a three-dimensional temperature field; obtaining a separated flame hyperspectral light field image, and reconstructing a low-temperature region and a reconstructed temperature field; and combining with a high-temperature region reconstruction temperature field to obtain a whole temperature field. The method is used for three-dimensional combustion multi-parameter field inversion.

The invention relates to the technical field of infrared temperature measurement, in particular to a calibration method for an infrared temperature measurement device, and the method comprises the steps: calculating a first spectral radiation quantity at a reference temperature and a second spectral radiation quantity at an ambient temperature; based on the first spectral radiation quantity and the second spectral radiation quantity, the spectral average emissivity of the target surface of the blackbody calibration source at the reference temperature is obtained, the third spectral radiation quantity of a calibration temperature reference value is obtained through calculation, reverse calculation is conducted on the third spectral radiation quantity, and the calibration temperature reference value is obtained; a response model is constructed based on a calibration temperature reference value, a gain coefficient and a bias coefficient are obtained by solving the response model, a gain value of the infrared temperature measuring device is corrected based on the gain coefficient, and a bias value of the infrared temperature measuring device is corrected based on system bias. The whole calibration process of the method is convenient and easy to operate.

The invention relates to the technical field of spectral radiation measurement, in particular to a conversion device for long-term measurement of radiance and irradiance by a spectrograph, which comprises a mounting plate, a turnover mechanism, a shell, an optical fiber and a cosine receiver, the turnover mechanism is connected with the bottom end of the mounting plate; the bottom end of the turnover mechanism is connected with the shell; the first end of the optical fiber is arranged in the shell, and the second end penetrates out of the shell; a through hole is formed in the shell, and an opening is formed in the bottom; the through hole is communicated with the opening; the first end of the optical fiber can move in the through hole in the axial direction of the optical fiber; the cosine receiver is movably connected with one surface, deviating from the mounting plate, of the shell so as to open or close the opening; the cosine receiver is of a flip structure; in a radiance measurement state, the cosine receiver opens the opening; in an irradiance measurement state, the turnover mechanism can turn over the shell to the position above the mounting plate, and the cosine receiver closes the opening. The conversion device cancels a traditional light path switcher, and the spectral radiation detection precision is improved.

A method and a system have been developed to calibrate the total spectral radiance factor (TSRF) obtained from different instruments. A broad-band light source covering the whole visible range as well as the fluorescence excitation wavelengths is used to measure the TSRF, and one or more narrow-band light sources outside of the fluorescent band is used to measure fluorescent spectral radiance factor (FSRF) separately. After that, the TSRF is adjusted by the FSRF, and a calibrated TSRF can be obtained. This can be applied to characterize Optical Brightening Agents (OBAs) as well as other fluorescent materials without requiring any moving part of the instrument to do the calibration.

The present application belongs to the technical field of forest fire research, and specifically discloses a forest fire simulation monitoring method and system. The method divides multiple forest fire simulation areas, determines the area where the ignition point is located as a target area; uses a UAV to carry a Fourier infrared spectrometer to collect spectral images in the target area; compares the spectral images with the spectral bands generated by the combustion of existing combustion products to determine the types of combustion products in the target area; based on the spectral images in the target area and the corresponding combustion product types, a flame spectral radiation model is constructed; multiple forest fire danger levels and the corresponding flame spectral radiation ranges of each forest fire danger level are set in advance, and the flame spectral radiation parameters output by the flame spectral radiation model are compared with all flame spectral radiation ranges to determine the forest fire danger level of the target area. By using the flame spectral radiation model, the present application realizes accurate detection and identification of forest fires.

The invention discloses a multi-spectral radiation temperature measurement method and system for improving a quantum particle swarm, relates to the field of radiation temperature measurement and photoelectric signal processing, and solves the problems that when an existing standard PSO algorithm is applied to high-dimensional and nonlinear multi-spectral inversion, local extreme values are likely to be trapped, and the self-adaptive capacity is poor. Setting parameters, generating an initial particle position by using Tent chaotic mapping, calculating the particle fitness of an initialized population, updating initial individual optimum and global optimum, and calculating an average optimal particle position; updating the optimal particle position through a Levy flight mechanism; and repeating the steps, calculating the multispectral radiation temperature measurement target function value of the updated position, updating the initial individual optimum and the global optimum, and if an error threshold value or the maximum number of iterations is met, outputting the global optimum solution. The method is also suitable for the application field of inverting the real temperature and the spectral emissivity of the target from the multi-channel spectral radiation signals and the like.

The present application relates to the image processing method of optical remote sensing imaging detection, specifically relates to a multi-modal image fusion method and imaging system, in order to solve the existing technical image capture of target scene depends on time-sharing type imaging system or multi-device acquisition, resulting in different modal image registration difficulty, low registration accuracy, image edge details are inconsistent, the deficiency of poor fusion effect, the multi-modal image fusion method of the present application includes the original image and characteristic spectrum of target scene, multi-modal image preprocessing and multi-modal image fusion steps, based on the spectral radiation curve of target scene, spectral image and polarization image realizes multi-modal image fusion.Simultaneously, provide a kind of multi-modal image imaging system, including sub-aperture array compound eye unit, for obtaining the original image of target scene, realize the spectral image and polarization image of target scene are acquired simultaneously.

This application provides a temperature control method and system for vacuum wetting indium in an array field emitter, relating to the field of vacuum electronic device manufacturing technology. The method includes: obtaining the three-dimensional temperature field distribution of the surface of the field emitter using a deep convolutional neural network based on spectral radiation energy; calculating the transverse and longitudinal temperature gradients between the emitter pins based on this distribution data, and inputting this data into an evaluation model to dynamically assess the wetting uniformity; and generating multi-temperature zone heating power control commands based on the uniformity results using a proportional-integral-derivative controller, and adjusting the power output of each temperature zone to ensure the array temperature field meets the requirements for promoting uniform indium wetting. This application improves the control accuracy and reliability of indium wetting uniformity in complex three-dimensional field emitters under vacuum and high-temperature conditions.

The application relates to the technical field of atmospheric detection, and particularly provides a device and a method for measuring atmospheric transmittance, the device comprising a sensing and executing layer and a supporting layer, wherein the sensing and executing layer comprises a long-distance subsystem, a short-distance subsystem and a meteorological detection device; the distance between the long-distance subsystem and a measurement target is equal to a to-be-measured distance of the atmospheric transmittance; the distance between the long-distance subsystem and the measurement target is greater than the distance between the short-distance subsystem and the measurement target; the long-distance subsystem and the short-distance subsystem both comprise a multi-spectrum device; the multi-spectrum device of the long-distance subsystem collects a first multi-spectrum radiation image of the measurement target; at the same time, the multi-spectrum device of the short-distance subsystem collects a second multi-spectrum image of the measurement target; the atmospheric transmittance is calculated based on the radiation path difference of the first and second multi-spectrum radiation images; and the meteorological detection device is used for collecting meteorological data of a measurement environment, and the meteorological data is used for compensating for the environmental error of the atmospheric transmittance.

The application provides a light field multispectral temperature inversion system and method based on a physical information neural network, first constructs a deep learning network infrastructure, adopts a double-layer U-Net architecture to extract radiation and spatial distribution characteristics of data; then designs a physical information embedding module, modularizes a Planck radiation law, and guides the network to establish a physical correlation between radiation information and temperature; subsequently, light field multispectral radiation data are collected through experiments, the network is trained after data division and preprocessing are completed, and a mapping relationship between radiation characteristics and temperature characteristics is established; finally, the trained network is migrated to actual test data, and high-precision and rapid temperature inversion is realized. The application has both the advantages of deep learning in processing complex data and the constraint of a physical model, not only improves the precision and calculation efficiency of light field multispectral temperature inversion, but also enhances the applicability of the light field multispectral temperature inversion in a high-temperature complex environment.

The invention relates to a method for evaluating fuel gas jet radiation heating, which comprises the following steps of: defining a jet boundary as a semi-cylindrical outer surface and an arc surface outer surface which have the same diameter as a nozzle outlet according to a flight height, and determining the arc surface outer surface by calculating an initial expansion angle, a radius of an arc, a Mach number of the nozzle outlet and a Prandt-Myer angle; calculating the angle coefficient of each point at the bottom when the jet flow boundary is the semi-cylindrical outer surface; carrying out engine ground test run, measuring the radiation heat flow of the engine, estimating the angle coefficient of the bottom heat flow measuring point position and the jet radiation heat flow, correcting the fuel gas equivalent blackness, and calculating the radiation heat flow of each point when the jet boundary is the semi-cylindrical outer surface and the radiation heat flow of each point when the jet boundary is the arc surface outer surface; according to the method, high-temperature fuel gas jet flow field calculation and high-temperature gas spectrum radiation characteristic and transmission calculation do not need to be carried out, and engineering rapid prediction of radiation heating of the aircraft tail mounting object is realized by utilizing ground engine test run test measurement data association.

To provide a temperature measurement system capable of acquiring a standardized temperature of a combustion chamber used for temperature control of a coke oven.SOLUTION: A temperature measurement system comprises: a two-color radiation thermometer that measures a temperature of a flue constituting a combustion chamber based on a ratio of spectral radiances at two different wavelengths acquired through an optical window provided in an observation hole above the combustion chamber of a coke oven; and a standardized temperature calculation device that calculates a standardized temperature of the combustion chamber. The standardized temperature calculation device includes: a measurement target identification unit that identifies the combustion chamber including the flue to be measured based on a measurement position by the two-color radiation thermometer; and a standardized temperature calculation unit that calculates the standardized temperature from a combustion switching time of the flue to be measured, a temperature of the flue measured by the two-color radiation thermometer, and a measurement time, using a temperature change formula representing a temperature of the flue that changes with time during combustion switching for switching over between a combustion-side flue and an exhaust-side flue of the combustion chamber, the temperature change formula being acquired in advance.SELECTED DRAWING: Figure 3

The application belongs to the field of image data processing, and particularly relates to a geometric and radiation compensation measurement method applied to farmland extraction, which comprises the following steps: obtaining remote sensing image data of a target area, pre-processing the remote sensing image, constructing a label, cutting and cropping, and dividing a training set and a test set; under the condition of fixed spatial resolution, the application establishes a unified compensation measurement mechanism between spatial resolution and spectral band number, realizes quantitative description of farmland extraction performance, solves the problem that the existing technology cannot uniformly measure the synergistic effect of spectral radiation information and spatial geometric information, and provides method support for two-dimensional quantitative analysis of farmland extraction precision; by constructing an Iso-IoU joint regression model, mathematical expression of the compensation relationship between spectral radiation information and spatial geometric information is realized, and the farmland extraction capability under different remote sensing configuration conditions can be quantitatively evaluated.

This invention discloses a rapid calculation method for the rearward infrared radiation intensity of an S-curve nozzle, belonging to the field of infrared radiation characteristic simulation of aero-engine exhaust systems. The method comprises the following steps: determining the design parameters of the S-curve nozzle and exhaust mixer components; establishing projection models of the key shielding sections of the exhaust mixer and S-curve nozzle; calculating the projected area of ​​each component after shielding by the S-curve nozzle using an image method; calculating the flow field parameter distribution and component surface temperature of the S-curve nozzle; calculating the axial length and volume of the visible region of the exhaust gas in the S-curve nozzle; calculating the spectral transmittance and spectral radiance of the exhaust gas along the nozzle outlet centerline within the visible region of the exhaust gas, as well as the spectral radiance intensity of the exhaust gas; calculating the infrared spectral radiance intensity of the wall surface; and integrating the spectral radiance to obtain the total infrared radiation intensity. This method solves the problems of existing technologies where the simulation calculation of the infrared radiation characteristics of S-curve nozzles is complex and time-consuming, and rapid calculation methods are only applicable to axisymmetric nozzles and cannot simulate the shielding structural characteristics of S-curve nozzles.

The present invention provides a method for measuring the thickness of the slag layer on the heating surface of a furnace based on medium-wave infrared detection technology. The method first uses a 3.9μm infrared thermal imager to measure the spectral radiation intensity of the furnace heating surface and the furnace flame, then uses a CMOS camera to obtain the spectral radiation intensity of the flame at 3.9μm, and solves the slag layer temperature on the heating surface based on the Newton iteration method, the BOOW emissivity model, and the Hadley ash thermal conductivity coefficient model. By continuously increasing the iteration order until the relative error of the radiation intensity corresponding to the slag layer temperature is less than the allowable error, it is considered that the iteration has converged. The output temperature at this time is considered to be the actual temperature of the slag layer. Then, based on the temperature difference between the actual temperature of the slag layer and the actual temperature of the heating surface during furnace operation, the slag thickness is calculated according to Fourier's law of heat conduction. The slag layer thickness solution algorithm provided by the present invention can obtain the two-dimensional spatial distribution of the slag thickness of the heating surface tube wall based on the spectral radiation intensity of the slag layer, thereby realizing visual monitoring of the slag on the tube wall.

The invention particularly relates to a method for calculating non-equilibrium shock wave layer infrared spectrum radiation based on an NO vibration excited state collision-radiation model. The method comprises the following steps: constructing an NO infrared vibration excited state collision-radiation model; extracting flow field data along a certain specific direction, inputting the flow field data into the NO infrared vibration excited state collision-radiation model, and calculating NO vibration excited state particle number density; calculating each vibration state absorption coefficient of NO based on the NO vibration excited state particle number density; and calculating the absorptivity in any layer on the detection path based on each vibration state absorption coefficient in combination with an apparent ray method, and calculating the NO infrared spectrum radiance based on the absorptivity. The method solves the problems that the spectral radiation calculation precision in hypersonic thermodynamics and chemical unbalanced flow is not high, the unbalanced state is not considered in the calculation, and the excited state particle number density adopted in the calculation of the infrared spectral radiation of NO is inaccurate.

The invention discloses a multispectral calibration method and device of an imaging type colorimeter and a storage medium, which are used for improving the precision of optical detection of a display screen. Setting an integrating sphere light source in the calibration system, and controlling the integrating sphere light source to reach target brightness; adjusting the detection temperature of the calibration system to enable the detection temperature to reach the target temperature; performing waveband separation processing on the light source at the exit port of the integrating sphere light source to generate a plurality of discrete wavebands; acquiring waveband images corresponding to a plurality of discrete wavebands; acquiring spectral radiation data of the integrating sphere light source in different discrete wavebands; calculating a flat field correction coefficient matrix and a brightness calibration coefficient of each discrete wave band according to the wave band image and the spectral radiation data; generating brightness response data according to the wave band images collected at different temperatures; generating a temperature coefficient according to the brightness response data of the reference temperature and the brightness response data of the comparison temperature; and performing brightness response compensation on the band image according to the flat field correction coefficient matrix, the brightness calibration coefficient and the temperature coefficient.

The utility model discloses an optical radiometer, relates to the technical field of spectral radiometers, and aims to solve the problems that in the prior art, most of shells of existing spectral radiometers are of integral structures, when internal components of the shells are damaged, a shell cover on the shell needs to be detached by a screwdriver, then an internal circuit board is taken out, and the cost is high. And the use and the operation are very inconvenient. Side sliding plates are slidably connected to the two sides of the shell correspondingly, sliding grooves are formed in the upper sides and the lower sides of the side sliding plates correspondingly, embedded strips are arranged on the inner side of the shell and connected with the sliding grooves in an engaged mode, a protection plate is arranged at one end of each side sliding plate, a handle is welded to the front end face of each protection plate, and a shell cover is fixedly connected to one end of the shell. A heat dissipation groove is formed in the inner side of the side sliding plate, a display screen is arranged on the front end face of the shell cover, a pressing head is slidably connected to the shell, a supporting foot is arranged at the lower end of the pressing head, a clamping leg is fixedly installed at the bottom of the supporting foot, and a clamping groove is formed in the inner side of the side sliding plate.

A method for on-orbit absolute radiometric calibration of an optical satellite with full field of view and full dynamic range. The method belongs to the field of aerospace-to-earth optical remote sensing technology, and specifically relates to the field of on-orbit absolute radiometric calibration of satellites. The method comprises the following steps: 1. The satellite maneuvers to radiometric calibration posture 1, sets the exposure time and rotation angle of the spectral radiometer in this posture, and continuously collects the spectral radiance of direct sunlight; 2. Expands the diffuse reflection plate to angle #imgabs0#, sets the exposure time and rotation angle of the spectral radiometer in this posture, and continuously collects the spectral radiance of diffusely reflected sunlight; 3. The satellite maneuvers to radiometric calibration posture 2, expands the diffuse reflection plate to angle #imgabs1#, sets the exposure time and rotation angle of the space camera in this posture, and continuously collects the spectral response value of the space camera; 4. Based on the data collected in steps 1‑3, calculates the absolute calibration coefficients of all spectral segments of the space camera, and completes the on-orbit absolute radiometric calibration of the optical satellite.

The utility model relates to the technical field of spectral radiometric calibration, and discloses a high-precision spectral radiometric calibration device. Comprising a machine shell and a base, the base is fixedly connected to the bottom of the machine shell, a conical reflecting cover is fixedly connected to the inner wall of the left side of the machine shell, a pipe body and a protective reflecting cylinder are fixedly connected to the side wall of the conical reflecting cover, the protective reflecting cylinder is arranged on the inner wall of the pipe body, and a plurality of optical fibers are arranged on the inner wall of the protective reflecting cylinder in a surrounding mode. The plurality of optical fibers are in close contact, and a gap is arranged between the tube body and the protective reflective cylinder. The light-emitting surface of the light source is attached to the inner wall of the conical reflecting cover, then the threaded rotating rod is rotated to rotate along the inner wall of the threaded ring so that the clamping plates can be pushed to be clamped on the side wall of the light source, the light source can be kept stable, follow-up calibration treatment is facilitated, the light source irradiates light beams to the ends of the optical fibers, and therefore the light source is more stable. The optical fiber can completely refract the light beam to the spectral radiance meter, and calibration processing can be carried out.

The invention discloses a suspended water body apparent spectrum multi-probe synchronous observation system based on an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicles, and the system comprises a water body radiance probe which is used for measuring a water surface spectrum radiation signal; the downlink irradiance probe is used for measuring the spectral irradiance incident to the water surface; the first micro-motion mechanism is connected to the water body radiance probe and is used for driving a receiving view field of the water body radiance probe to perform first periodic motion according to a preset track based on a received first control instruction; the data processing unit is used for taking the first control instruction as a first reference input signal, performing signal analysis on the synchronously acquired water surface spectral radiation signal, and separating a spectral signal component modulated by the first periodic motion; and reconstructing spatial distribution information of the apparent optical characteristics of the water body in the measurement area based on the first field-of-view center direction and the spectral signal component at each sampling moment.

The utility model relates to the technical field of detection devices, in particular to a correction detection device for LED screen production. The device comprises a detection cabinet and a spectrum radiation brightness meter installed at the top of the inner wall of the detection cabinet, a cabinet door is inserted in the upper end of the detection cabinet in a sliding mode, a convenient detection assembly is arranged on the inner wall of the detection cabinet, and the convenient detection assembly comprises a disc arranged on one side of the inner wall of the detection cabinet. When the LED screens need to be detected, workers place the LED screens in the placing grooves, the stepping motor is started through the controller, the stepping motor is connected with the disc through the speed reducer and the coupler, the disc is made to rotate, a new LED screen is placed after the next placing groove is rotated out, and the steps are repeated till all the placing grooves are provided with the LED screens. And then the spectral radiation brightness meter is started for detection, after the detected LED screen is rotated out, a worker takes down and places a new LED screen for detection, and the disc continues to rotate, so that the effect of conveniently and continuously detecting the LED screen is achieved as much as possible.

The application provides a low-altitude unmanned aerial vehicle spectral radiation correction method and system for optimizing a BP neural network, and comprises the following steps: acquiring and preprocessing low-altitude multispectral image data and calibration data; generating an atmospheric transmittance lookup table, wherein the atmospheric transmittance lookup table comprises atmospheric transmittance data under different conditions; generating a low-altitude unmanned aerial vehicle radiation correction training set combined with the atmospheric transmittance; obtaining an optimal BP neural network training model for the optimization of the single input parameter of the BP neural network; and performing radiation correction by using the optimal BP neural network training model. The application solves the problem of unmanned aerial vehicle image radiation correction, and provides an efficient, reliable and feasible scheme for real-time unmanned aerial vehicle ground object identification and ground object surveying.

The invention discloses a high-temperature plasma edge line spectral radiation distribution diagnostic device and method.The diagnostic device comprises a lens, an optical fiber bundle and a spectrograph, the lens is arranged on a water cooling plate in a vacuum cabin, the field of view of the lens covers the edge area of plasma, the lens is connected with the front end of the optical fiber bundle, and the spectrograph is arranged on the optical fiber bundle. The front end face of the optical fiber bundle coincides with the focal plane of the lens, the optical fiber bundle is connected with the wall of the vacuum cabin through a vacuum penetrating and guiding structure and is led out of the vacuum cabin, and the tail end of the optical fiber bundle is connected with the spectrograph so as to collect the spectrum emitted by the plasma. According to the invention, the lens is arranged in the vacuum chamber, the field of view of the lens is not limited by the size and position of the observation window, and the flexible characteristic of the optical fiber bundle is combined, so that the emission spectrum distribution of different areas of the plasma can be visually observed by flexibly placing the position of the lens. And meanwhile, a special lens structure is designed to weaken coating of glow on an imaging lens during wall processing.

The invention relates to the technical field of absolute response calculation of in-orbit optical remote sensing satellites, in particular to an in-orbit satellite response calculation method based on a point light source, which comprises the following steps of: calculating entrance pupil radiance and a response value of a remote sensing camera; calculating a spectral response function and a spectral response bandwidth of the remote sensing camera; equivalent entrance pupil radiance is calculated through wavelength infinitesimal elements; performing least square fitting calculation through the equivalent entrance pupil radiation brightness and the response value to obtain an absolute radiation calibration coefficient; calculating the absolute radiation brightness under the equivalent extended light source; the atmospheric upper bound absolute radiation brightness is calculated through the atmospheric transmittance and the absolute radiation brightness under the equivalent extended light source, and the equivalent radiation brightness is calculated through the spectral response bandwidth; and the output response value of the remote sensing camera is calculated according to the equivalent spectral radiation brightness. According to the method, on-orbit satellite response calculation based on the point light source is realized by utilizing a point source target radiation transmission principle and combining a basic principle of optical remote sensing camera radiation calibration.

A method for illumination of an object to be observed to be observed and the background, the method comprising the steps of: obtaining a relationship between wavelength and spectral radiance of the object while the object and the background are illuminated by a first light source that emits light that has a continuous spectrum in the wavelength range from 380 nanometers and 780 nanometers, and determining a value of representative wavelength that corresponds to a maximum value of the spectral radiance of the object plotted against wavelength or values of representative wavelength that correspond to maximum values of the spectral radiance of the object plotted against wavelength; determining a value or values of comparative wavelength; and illuminating the object and the background with light of the value or values of representative wavelength and light of the value or values of comparative wavelength.