56 results about "Cross Calibration" patented technology

The invention relates to the technical field of optical detection and calibration, in particular to an optical detection and calibration method based on a laser cross calibration method, which comprises the following steps of: 1, suppressing dynamic ambient light and adjusting laser parameters; step 2, extracting anti-distortion feature points; 3, multi-view error collaborative optimization: inputting the corrected coordinates output in the step 2 and mechanical motion parameters of a rotating shaft encoder into a splicing optimization model, constructing a coordinate transformation matrix with curvature constraint, and obtaining a three-dimensional calibration point cloud under a global coordinate system through iterative optimization; and 4, dynamic closed-loop compensation: dynamically correcting the laser power compensation coefficient in the step 1 and the distortion correction parameter in the step 2. Through close cooperation of multiple steps, high-precision, stable and self-adaptive laser calibration is realized, and reliable optical detection and calibration results can be provided in various environments and working conditions.

The invention relates to the technical field of computer vision and remote sensing image processing, in particular to a super-resolution remote sensing image target detection method based on multi-modal fusion, which is realized on the basis of a target detection network obtained by improving a YOLOv5 network. The improvement comprises the following steps: introducing a dynamic cross calibration module and a lightweight super-resolution auxiliary branch behind an input layer; replacing part of common convolution in the backbone network with space-to-depth convolution; the method comprises the following steps: inputting a visible light image and an infrared image into a dynamic cross calibration module, carrying out feature extraction and fusion on the visible light image and the infrared image through the dynamic cross calibration module, and outputting fusion features; inputting the visible light image and the infrared image into a lightweight super-resolution auxiliary branch, and performing super-resolution reconstruction through the branch to generate a high-resolution feature; the problems that an existing remote sensing image target detection method is low in accuracy and prone to loss of detail features when facing small targets, low resolution and complex backgrounds are solved.

The invention provides a wide-area power waveform synchronous monitoring system and a synchronous monitoring method, in the synchronous monitoring system, firstly, a terminal layer node adopts a multi-channel synchronous sampling technology in combination with cross calibration, phase error detection and correction filtering, so that data of different signal sources can be ensured to be collected at the same time; and delay caused by hardware difference and different transmission paths is eliminated, so that the synchronization precision and accuracy of data uploaded to the edge layer node are relatively high, then the edge layer node can maintain the time synchronization precision at a relatively high level by executing a cross-hierarchy clock synchronization mechanism, and finally, synchronous analysis is performed through the master station layer node, so that the synchronization precision of the data uploaded to the edge layer node is improved. And the reliability of a monitoring result is ensured. According to the invention, the terminal layer node, the edge layer node and the master station layer node execute corresponding synchronous monitoring tasks at different levels, the synchronization precision can be improved, and the synchronization error can be reduced, so that the strict requirement of high-precision time synchronization is met, and the reliability of a synchronous monitoring result is improved.

The invention discloses a calibration board and wind tunnel feature point-based binocular system wind tunnel coordinate system calibration method, and belongs to the field of aerodynamic tests. Comprising the following steps: reconstructing surface mark points of a calibration plate by photogrammetry outside a hole and establishing a local coordinate system to obtain coordinates under the local coordinate system; a binocular system is arranged in the hole, and binocular internal and external parameters are calibrated through a special cross calibration ruler; arranging a plurality of circular feature mark points on the surface of the hole wall with overlapped visual fields of the binocular system; the calibration plate is correctly placed according to the geometrical relationship, so that each vector of the local coordinate system is parallel or perpendicular to an incoming vector, and the binocular system reconstructs global points of the calibration plate and registers the global points to achieve alignment of a measurement coordinate system of the binocular system and a wind tunnel coordinate system; reconstructing a three-dimensional coordinate of the fixed point in a wind tunnel coordinate system through a binocular system; and in a subsequent test, adopting resection to realize the recalibration of the wind tunnel coordinate system. According to the invention, high-precision and high-efficiency alignment requirements of a measurement coordinate system and a wind tunnel coordinate system of a binocular system can be met.

The invention relates to a time sequence cross calibration method and system of a synthetic aperture radar. The method comprises the following steps: screening out a target area for time sequence cross calibration; sAR image data pairs are generated one by one in the time range; adopting a window median method to extract a median matrix of a data slice at a single moment, obtaining a median matrix array, carrying out robust regression fitting of abnormal value elimination, and generating a radiometric calibration coefficient array; and processing the radiometric calibration coefficient array according to the final radiometric calibration coefficient reference value to obtain a final radiometric calibration coefficient. Interference of abnormal values is avoided by performing robust regression fitting of abnormal value elimination on a median matrix array; the radiation calibration coefficient corresponding to each single moment is calculated, the correlation of the radiation calibration coefficients at different moments is taken as a reference, the radiation calibration coefficient value measured at the to-be-calibrated moment and the radiation calibration coefficient value at the previous moment are combined, the final reference value of the radiation calibration coefficient is determined, and the calibration accuracy is improved.

The invention relates to the technical field of absolute radiometric calibration of satellite infrared remote sensing sensors, and provides a method for analyzing sensitivity of infrared remote sensing calibration black body emissivity to equivalent radiation, which comprises the following steps of: 1, selecting a specific satellite data file as an experimental sample; step 2, extracting key temperature data from the selected data file; 3, performing data calculation according to the data extracted in the step 2; and 4, calculating the equivalent emergent radiation of the black body by using a Planck function and the emissivity of the black body. According to the method, the equivalent emergent radiation of the satellite infrared remote sensing calibration black body is accurately calculated, so that the absolute radiation calibration precision of the satellite infrared remote sensor on the on-satellite black body is effectively improved, and the defects of large workload and low frequency of site calibration, high implementation threshold of cross calibration and the like can be effectively overcome; therefore, high-frequency and automatic radiometric calibration of the on-orbit infrared channel of the remote sensing satellite is realized.

The invention relates to the technical field of metabolite monitoring, and discloses a continuous multi-metabolite monitoring method based on multi-modal cross calibration. The method comprises the following steps: acquiring a multi-source metabolite signal sequence containing an electrochemical signal, an optical signal and a thermodynamic signal through an implantable biosensor array; performing time sequence segmentation on the multi-source metabolite signal sequence to generate metabolite concentration time sequence fragments; and synchronously inputting the metabolite concentration time sequence fragment into a metabolite dynamic response model and a metabolite interaction characteristic model, and respectively generating a first metabolite concentration track and a second metabolite concentration track. According to the method, by means of multi-modal signal fusion and cross calibration, in combination with time sequence segmentation and multi-model analysis, dynamic changes and interaction of metabolites can be comprehensively captured, the integrity and accuracy of metabolite monitoring are improved, and the method is suitable for continuous multi-metabolite monitoring scenes.

The invention relates to a spectrum imager quantification method, in particular to a hyperspectral remote sensor cross calibration method based on a spectrum matching factor, and aims to solve the technical problem of poor cross calibration precision caused by the fact that an existing hyperspectral remote sensor only depends on a single spectrum channel in the cross calibration process. The method comprises the following steps: 1) obtaining spectrum channel characteristics; 2) calculating the simulated spectral radiance; 3) calculating a spectrum matching factor; 4) obtaining a cross calibration test area; 5) calculating the real spectral radiance of each spectral channel of the reference remote sensor B; 6) obtaining a weight coefficient; the hyperspectral remote sensor cross calibration method based on the spectrum matching factors comprises the steps of (1) obtaining the spectrum matching factors, (2) obtaining the final spectrum matching factors, (3) calculating the real spectrum radiance of each spectrum channel of the to-be-calibrated remote sensor A, and (4) calculating the radiance calibration coefficients of each spectrum channel of the to-be-calibrated remote sensor A. The hyperspectral remote sensor cross calibration method based on the spectrum matching factors reduces errors and improves data accuracy and reliability.

The invention belongs to the technical field of detection and measurement, and discloses a gas inspection robot multi-source harmful gas monitoring method based on image recognition, and the method comprises the steps: obtaining an inspection area image through a visible light camera and an infrared camera, extracting features, and generating a leakage probability distribution diagram with a coordinate index; combining the probability graph with laser ranging data to form a target area set; self-adaptive sampling tracks of three modes of grid, spiral and jumping are generated in a grading manner according to the confidence degree; synchronously starting infrared, electrochemical and photoacoustic spectrum sensors along the track to collect concentration data, and carrying out zero cross calibration between adjacent sampling points; combining the calibrated multi-source data with environmental parameters, dynamically updating the weight through Kalman filtering, and outputting a fusion concentration result; on the basis, a Gaussian plume diffusion model is adopted to reconstruct a concentration field, the leakage level is judged, sound-light alarm is triggered when the leakage level exceeds the limit, and meanwhile the concentration gradient serves as feedback to correct the path of the next stage.

The invention discloses an SAR radiation cross calibration method based on an urban wide strong scattering reference point target, and the method comprises the steps: analyzing a meta-file of to-be-calibrated SAR data, extracting corresponding system parameter information and imaging region information, selecting multi-scene reference SAR data from calibrated historical SAR data, and extracting an absolute calibration constant; cutting and registering an area which coincides with the imaging area of the reference SAR data and the to-be-calibrated SAR data and is located in an urban area to make an SSDH data set; carrying out one-round screening and two-round screening on the SSDH data set based on a standard strong scattering point model, and extracting a radiation-stable high-value reference point target appearing in a full time domain; rCS data of the reference point target in the to-be-calibrated SAR data and RCS data of the reference point target in the reference SAR data are calculated; and comparing the RCS data of the same reference point target in the to-be-calibrated SAR data with the RCS data of the calibrated reference SAR data, and performing cross calibration to obtain an absolute radiometric calibration constant of the to-be-calibrated SAR data. According to the invention, low-cost and normalized SAR radiometric calibration processing is realized.

The invention discloses a cross radiation calibration method and device for artificial intelligence correction, and belongs to the technical field of electronic information, and the method comprises the steps: S1, obtaining a sample pair through a space-time matching method, and carrying out the fitting of sample data, and obtaining a fitting curve; s2, a series of time points are selected, and temperature measurement values of the light path component of the infrared remote sensing instrument at the time points are obtained; inputting the output values of the remote sensing instrument to be calibrated corresponding to the selected series of time points into the fitting curve to obtain corresponding cross calibration result values; s3, taking the output value of the remote sensing instrument to be calibrated and the temperature measurement value of the optical path component of the infrared remote sensing instrument as the input of a neural network, taking the cross calibration result value as the output of the neural network, and training the neural network; and S4, obtaining a calibration result of the remote sensing instrument at any moment through network output. According to the invention, any short-time single-time radiometric calibration result can be provided.

The invention relates to the technical field of mass spectrometer radio frequency power supply control, and discloses a mass spectrum radio frequency voltage loop stable control circuit comprising a power supply module used for supplying power to an operational amplifier through a + 12V power supply pin and used for supplying power and establishing a potential reference; the radio frequency power supply acquisition module is used for inputting a signal to an operational amplifier of the hardware PID control module through a resistance potential-divider network and is used for acquiring and monitoring a voltage signal; according to the radio frequency voltage loop stability control circuit for the mass spectrum, through a cross calibration mechanism in which software control and a hardware PID controller are combined and output voltages of software and hardware circuits are mutual references and mutual constraints, the problem of voltage drift instability caused by long-time work of a mass spectrometer radio frequency power supply is avoided. Meanwhile, hardware PID ensures rapid dynamic response to suppress real-time voltage fluctuation, software control provides long-term stability to overcome the influence of element aging and temperature drift, and the synergistic effect of the hardware PID and the software control realizes voltage stability superior to that of a pure hardware or pure software scheme.

The invention aims to provide a full-spectrum on-orbit cross radiation calibration method for a micro-nano hyperspectral satellite sensor. The method comprises the following steps of: a, screening a to-be-calibrated satellite-reference satellite image data pair meeting a cross calibration basic condition; b, Gaussian analysis and parameter extraction of the satellite sensor SRF; c, wave band matching and parameter calculation of the sensor SRF; d, matching reference image simulation of a to-be-calibrated satellite sensor spectrum; e, site BRDF simulation and image BRDF correction are carried out; and f, executing cross calibration of the target sensor. The method is applied to the technical field of remote sensing data processing methods and applications.

The invention relates to the technical field of high-precision laser processing, in particular to a laser beam expanding light path automatic calibration mechanism and method.The laser beam expanding light path automatic calibration mechanism comprises a bottom plate, a base, a beam expanding lens, a light inlet end dimming jig, a light outlet end dimming jig, a four-degree-of-freedom adjusting mechanism, a CCD camera, a light inlet end beam expanding lens and an energy attenuation piece; the base is installed on the right portion of the top end of the bottom plate, the beam expanding lens is arranged on the upper left portion of the bottom plate, the light inlet end dimming jig and the light outlet end dimming jig are installed at the left end and the right end of the beam expanding lens respectively, the light inlet end dimming jig and the light outlet end dimming jig are each provided with a cross calibration line, and the four-freedom-degree adjusting mechanism is installed on the left portion of the top end of the bottom plate. The CCD camera is installed on the right portion of the top end of the base to recognize light beam spots, the beam expander at the camera inlet end is installed on the left portion of the top end of the base, and the energy attenuation piece is installed in the middle of the top end of the base. The device is fully automatic, is suitable for high-precision laser processing, has a self-centering function and is high in universality.

Formation evaluation methods and apparatuses use a COMET technique to cross-calibrate the total porosity and effective porosity approaches using logging tool measurements. The COMET technique minimizes the difference between total water saturation value and effective water saturation value assuming that non-conductive pore volume calculated using total porosity and using effective porosity is the same.

The invention discloses a multi-source data fusion processing method for dynamic optimization and adjustment of a public traffic network, and the method comprises the steps: obtaining multi-source heterogeneous original data, executing the standardization processing, and generating a unified time reference and a multi-source standardized flow; the credibility of the data source is estimated online through a reinforcement learning strategy, and event signals after credibility weighting are output; the event signals after credibility weighting are combined with the multi-source standardized flow, and line segment level advanced demand distribution is predicted and generated; aiming at the multi-source standardized flow and the multi-source heterogeneous original data, applying a time-varying nonlinear cross calibration model to obtain real-time congestion degree and short-time station dwell time length prediction; and fusing the line segment-level advanced demand distribution, the real-time congestion degree and the short-time stop duration prediction to generate a fine tuning scheme. According to the invention, the accuracy of demand prediction and stop prediction is improved.

The invention discloses a satellite height measurement data optimal interpolation fusion method based on cross calibration and spectrum analysis, and the method comprises the steps: carrying out the sea surface height anomaly calculation and power spectrum analysis, and calculating the sea surface height anomaly of a satellite altimeter according to the precise orbit determination coordinates of a satellite and the distance measurement value of the altimeter; the related scale of adjacent observation points of the to-be-fused satellite altimeter is obtained through the power spectrum analysis of the sea surface height anomaly of the to-be-fused satellite altimeter; cross calibration: performing cross calibration on sea surface height anomaly of the fusion satellite altimeters by using the sea surface height anomaly of the reference satellite altimeter to obtain system deviation in the to-be-fused satellite altimeters; performing self-crossing calibration by using sea surface height anomaly of the satellite altimeter to be fused to obtain a diagonal element of an observation error covariance matrix; constructing a covariance matrix, wherein a non-diagonal element of the observation error covariance matrix is a product of a standard deviation at the two measurement points and a correlation function of the two measurement points; and fusing the fused satellite altimeter and the background field data by using an optimal interpolation method.

The embodiment of the invention provides a satellite load low-light channel cross calibration method adopting complete earth shadow area moonlight irradiation, which comprises the following steps: selecting stable target observation data of a to-be-calibrated satellite low-light instrument and a reference instrument in complete earth shadow area moonlight irradiation, the to-be-calibrated satellite low-light instrument and the reference instrument being imaging radiometers; carrying out low-quality data removal on observation data irradiated by moonlight in a complete earth shadow area of the satellite low-light instrument to be calibrated and the reference instrument; selecting a matching data pair of a satellite low-light instrument to be calibrated and a reference instrument under a cross time matching condition, which allows observation under a multi-moon phase condition, from the observation data from which the low-quality data is removed; calculating lunar radiation based on a lunar phase model, performing spectrum and angle correction on the data of the reference instrument in the matched data pair, and calculating the reference radiance of the to-be-calibrated instrument with the stable target in the complete earth shadow area; and fitting observation data of the satellite low-light instrument to be calibrated in the complete earth shadow area under the multi-moon phase condition in the matched data pair and the calculated reference radiance to obtain a cross calibration coefficient so as to complete the radiation calibration of the satellite low-light instrument. According to the embodiment of the invention, the influence of the solar stray light on calibration can be effectively reduced, and the in-orbit radiation calibration precision of the low-light remote sensor is remarkably improved.

The invention discloses a method for calculating an inter-satellite cross calibration coefficient according to particle phase space density correlation characteristics. The method comprises the following steps: obtaining particle flux sequences of a standard satellite A and a to-be-calibrated satellite B; respectively calculating a corrected third adiabatic invariant and a corrected second adiabatic invariant of the satellite A and the satellite B under a T89c external magnetic field model, and calculating the local magnetic field intensity; performing uniform grid division on the time and the third adiabatic invariant, and performing logarithmic uniform grid division on the first adiabatic invariant and the second adiabatic invariant; solving a local throwing angle and energy in the grid; points with data in the same grid are screened out, and the particle phase space density of the A star and the particle phase space density of the B star are obtained respectively; calculating a particle phase space density mean value in the grid; respectively establishing particle phase space density matrixes of the satellite A and the satellite B; and screening out points with data in the same grid of the particle phase space density matrixes of the two satellites, and calculating to obtain a cross calibration coefficient of the satellite B.

The present invention discloses a method for on-site rapid calibration of a large field-of-view camera applicable to complex working conditions, including: on-site measurement scene arrangement, camera placement and adjustment, left camera acquisition of cross calibration target images, decoding of cross calibration target images, orientation of cross calibration target images, optimization of camera internal parameters, calibration of right camera internal parameters, synchronous acquisition of a frame of measurement scene images by the left and right cameras, feature point detection, feature point matching, solution of initial external parameter values, total station measurement of point distances, correction and optimization of camera external parameters, and export of calibration data. The present invention combines close-range photogrammetry technology, binocular stereo vision technology and total station ranging technology, uses a small-sized cross calibration target and the distance between a pair of feature points that are far apart in the measurement scene obtained by the total station as a flexible calibration target, realizes the calibration of a large field-of-view camera under complex working conditions, and can complete the on-site rapid calibration of the internal and external parameters of a large field-of-view camera with a field of view of dozens of meters to hundreds of meters within a few minutes.

An analog-to-digital converter (ADC) includes: a time-domain ADC core; and a calibration circuit. The time-domain ADC core includes: a first delay-to-digital stage having a terminal; a second delay-to-digital stage having a terminal; a third delay-to-digital stage having a terminal. The calibration circuitry is coupled to the terminal of the first delay-to-digital stage, the terminal of the second delay-to-digital stage, and the terminal of the third delay-to-digital stage of stages. The calibration circuitry is configured to calibrate the first delay-to-digital stage, the second delay-to-digital stage, and the third delay-to-digital stage based on a zero-crossing calibration and an over-range calibration. The over-range calibration sets a maximum threshold and a minimum threshold for the time-domain ADC relative to a reference voltage.

The application discloses a flight confidence calculation method and system based on multidimensional sensing data, and the method comprises the following steps: data acquisition, multidimensional feature extraction, establishment of safety value mapping, multidimensional confidence fusion calculation and decision feedback. The application belongs to the technical field of data processing, and specifically refers to a flight confidence calculation method and system based on multidimensional sensing data. According to the scheme, dynamic resource allocation is adopted to guarantee the quality of core data acquisition, dynamic Kalman filtering is adopted to reduce noise, high-value historical data is screened, and the double mechanisms of multi-sensor cross calibration and Bayesian inference verification are adopted to output an optimal spatial parameter estimation set and a corresponding confidence interval, so that the accuracy of confidence evaluation is improved. The safety value target is defined, the cause-and-effect chain is constructed, the cause-and-effect contribution degree of features to the safety value is quantified, the direct correlation between the features and the safety value is established, the multidimensional confidence is dynamically fused to generate the final flight confidence, and the problem that the confidence is high but the decision is unsafe is avoided.

This application discloses an adaptive oscillation method, system, and storage medium for blood products. The method includes: S1: acquiring and reconstructing multidimensional physical features of the blood bag surface to obtain three-dimensional morphological data and heat distribution data of the blood bag surface; S2: based on the three-dimensional morphological data and heat distribution data, using a fluid dynamics proxy model to inversely deduce the fluid shear stress and comprehensive physical suspension feature vector of the blood inside the blood bag, and performing cross-calibration on both, continuously outputting a mixed completion confidence score; S3: adjusting the motion parameters of the oscillation tray and clamping mechanism in real time according to the mixed completion confidence score, and stopping oscillation when the mixed completion confidence score continuously exceeds a preset threshold. This application achieves real-time, non-invasive sensing of the blood state inside a sealed blood bag, ensuring uniform suspension of red blood cells while avoiding mechanical hemolysis, significantly improving the safety, adaptability, and processing efficiency of blood product oscillation processing.

The application discloses a kind of large-scale constellation-oriented autonomous calibration task cooperation planning method and device.The method includes S1, obtains calibration resource information, satellite information and constellation resource information;The calibration resource information includes star calibration field, cold air calibration field, moon reference source, ground comprehensive field, ground uniform field and cross calibration field;The satellite information includes satellite state information and satellite task type information;The satellite state information includes the on-orbit state information of N satellites, N is positive integer;The on-orbit state information includes fast evaluation phase information, on-orbit test phase information or operation guarantee phase information;S2, based on the calibration resource information, the satellite information and the constellation resource information, determine task allocation information;S3, based on the task allocation information, determine the execution task sequence.It can be seen that the present application is beneficial to improve the on-orbit calibration efficiency under the current cluster giant optical constellation networking condition.

A method of automatically calibrating a toxic gas detector 100 wherein the same calibration gas is used to calibrate one or more gas sensors 110, 112, 114 which detect the presence of a different toxi

To cross-calibrate two cameras (4, 5) of a vehicle (1) mounted on the vehicle (1) with different poses and overlapping fields of view (6, 7), first image features are generated by applying a first branch (13a) of an encoder module (13) of a trained MLM (12) to first input data dependent on a first camera image (10) from the first camera (4) of the two cameras (4, 5). Second image features are generated by applying a second branch (13b) of the encoder module (13) to second input data dependent on a second camera image (11) from the second camera (5) of the two cameras (4, 5). A relative pose (8) between the first camera (4) and the second camera (5) is calculated by applying a pose decoder module (17) of the MLM (12) to the first and second image features.

This invention relates to the field of metabolite monitoring technology and discloses a multimodal cross-calibrated method for continuous multi-metabolite monitoring. The method acquires multi-source metabolite signal sequences containing electrochemical, optical, and thermodynamic signals through an implanted biosensor array; it performs time-series segmentation of the multi-source metabolite signal sequences to generate metabolite concentration time-series segments; and it synchronously inputs these metabolite concentration time-series segments into a metabolite dynamic response model and a metabolite interaction feature model to generate a first metabolite concentration trajectory and a second metabolite concentration trajectory, respectively. This method, by leveraging multimodal signal fusion and cross-calibration, combined with time-series segmentation and multi-model analysis, can comprehensively capture the dynamic changes and interactions of metabolites, improving the completeness and accuracy of metabolite monitoring, and is suitable for continuous multi-metabolite monitoring scenarios.

The invention particularly relates to a hyperspectral remote sensor cross calibration method based on dynamic Gaussian distribution, and solves the technical problems that the accuracy and precision of a spectrum matching factor obtained by an existing spectrum matching factor calculation method are relatively low, and the cross calibration precision of an interference type hyperspectral remote sensor is difficult to improve. The method comprises the following steps: 1, determining a cross calibration test area; 2, calculating the simulated spectral radiance; 3, calculating spectrum matching factors of a plurality of spectrum channels which greatly influence the to-be-calibrated remote sensor A in the to-be-calibrated remote sensor B based on dynamic Gaussian distribution; 4, obtaining a final spectrum matching factor of each spectrum channel of the to-be-calibrated remote sensor A; 5, calculating the real spectral radiance of a plurality of spectral channels which have great influence on the to-be-calibrated remote sensor A in the to-be-calibrated remote sensor B; 6, calculating the real spectral radiance of the remote sensor A to be calibrated; and 7, calculating the radiometric calibration coefficient of each spectrum channel of the to-be-calibrated remote sensor A, and completing the cross calibration of the hyperspectral remote sensor.

The present application relates to the technical field of optical detection calibration, and more particularly to an optical detection calibration method based on laser cross calibration, comprising: step 1: dynamic ambient light suppression and laser parameter adjustment; step 2: anti-distortion feature point extraction; step 3: multi-view error collaborative optimization: input the corrected coordinates output by step 2 and the mechanical motion parameters of the rotary shaft encoder into a splicing optimization model, construct a coordinate transformation matrix with curvature constraint, and obtain a three-dimensional calibration point cloud in a global coordinate system through iterative optimization; step 4: dynamic closed-loop compensation: dynamically correct the laser power compensation coefficient of step 1 and the distortion correction parameter of step 2. Through the close cooperation of multiple steps, high-precision, stable and adaptive laser calibration is achieved, which can provide reliable optical detection and calibration results in various environments and working conditions.

The present application relates to a kind of quantitative methods of spectral imager, specifically, a kind of high spectral remote sensor cross calibration method based on spectral matching factor, existing high spectral remote sensor only relies on single spectral channel in cross calibration process, leading to the technical problem of poor cross calibration precision.This method includes the following steps:1】Obtain spectral channel characteristics;2】Calculate simulated spectral radiance;3】Calculate spectral matching factor;4】Obtain cross calibration test area;5】Calculate the real spectral radiance of each spectral channel of reference remote sensor B;6】Obtain weight coefficient;7】Obtain final spectral matching factor;8】Calculate the real spectral radiance of each spectral channel of to-be-calibrated remote sensor A;9】Calculate the radiation calibration coefficient of each spectral channel of to-be-calibrated remote sensor A, complete the cross calibration of high spectral remote sensor of spectral matching factor.This method reduces error, improves data accuracy and reliability.