19 results about "Spectral distortion" patented technology

This invention discloses a multi-objective optimization-based sparse unmixing method for hyperspectral images. The method acquires the hyperspectral image to be unmixed and an initial endmember spectral library; constructs a structured sparse control operator based on dynamic temperature decay and adaptive gating; performs adaptive dynamic grouping of endmember topology based on gradient feedback and cosine similarity; constructs a multi-objective optimization model combining reconstruction error and group sparsity error for iterative optimization; and uses the maximum curvature method to obtain the final unmixing result from the Pareto front. Compared with existing technologies, by constructing an adaptive dynamic grouping mechanism for endmember topology, this invention fully utilizes gradient feedback and cosine similarity to capture spectral distortion differences, ensuring that the identification of similar endmembers is directional. Simultaneously, this invention combines a structured sparse control operator and uses a pass-through estimator to effectively filter false endmember features. Through the synergistic effect of these two methods, multi-objective sparse unmixing of hyperspectral images is ultimately achieved, minimizing reconstruction error and optimizing group sparsity error.

This invention discloses a method for verifying and confirming numerical prediction thrust spectrum results of propellers, belonging to the field of computational fluid dynamics (CFD) result verification and confirmation. While maintaining consistency between the physical model and boundary conditions, this invention encrypts the CFD calculation settings with joint discrete parameters and quantitatively characterizes simulation errors and uncertainties based on Richardson extrapolation. This invention employs the Lomb-Scargle periodogram method to directly process non-uniformly sampled data, avoiding spectral distortion caused by resampling interpolation and improving the accuracy of spectrum estimation. This invention automatically selects the optimal AR model order through information criteria, models colored noise backgrounds in actual engineering, and achieves adaptive noise modeling. This invention simultaneously evaluates the statistical significance of the global maximum peak value and each expected harmonic frequency in a single Monte Carlo simulation cycle. This invention uses a block bootstrap method to calculate the frequency band power confidence interval, maintaining the local correlation of the time series and achieving reliable confidence interval quantification.

The application provides an image fusion method and device and a storage medium, and belongs to the technical field of image fusion.The method comprises the following steps: importing a high-resolution hyperspectral image to be fused, a high-resolution multispectral image to be fused, a plurality of original high-resolution hyperspectral images and an original high-resolution multispectral image; performing down-sampling processing on the original high-resolution hyperspectral images respectively to obtain original low-resolution hyperspectral images; and constructing a training model, wherein the training model comprises a feature analysis network, a target vector field construction network and a predicted vector field construction network.The application effectively avoids the spectral distortion problem caused by the difference in spectral response of a sensor in a traditional fusion method, and overcomes the defects of lack of constraints in the intermediate process and insufficient stability of results in a single-step regression method.

This invention relates to the field of nonlinear optics and discloses a method and system for multi-soliton spectral tunneling based on Airy pulse parameter control. The method includes the following steps: acquiring initial parameter data of the Airy pulse and initial state data of the multi-soliton; performing Airy pulse waveform generation processing based on the initial parameter data of the Airy pulse to generate Airy pulse waveform data; constructing a coupled nonlinear Schrödinger equation for accurate simulation to ensure the predictability of nonlinear interactions; and simultaneously placing the Airy pulse and the multi-soliton in a simulation platform to simulate their interaction. The generated spectral tunneling characteristic data can be analyzed in real time to determine whether the spectral tunneling process deviates from the expected energy transfer trajectory, ensuring spectral energy transfer efficiency and tunneling accuracy, and reducing spectral distortion and efficiency loss.

This invention relates to a hyperspectral image demixing method based on a graph wavelet transform convolutional network, belonging to the field of hyperspectral image demixing technology. The method includes: using a Mexican Hat graph wavelet filter to perform frequency domain decomposition on the undirected graph of the original hyperspectral image, obtaining low-frequency and high-frequency components, which are then input into a parallel dual-branch feature encoder network for feature learning, extraction, and adaptive recalibration. Enhanced low-frequency and high-frequency features are obtained and fused element-wise to obtain multi-frequency comprehensive features, which are then input into an endmember constraint and reconstruction module for abundance estimation. This yields a reconstructed hyperspectral image, which is compared with the original hyperspectral image. A multi-dimensional joint loss function is constructed and optimized to obtain a hyperspectral demixing model for hyperspectral image demixing. This method aims to solve the technical problem of existing technologies' inability to effectively distinguish the mixing characteristics of high-frequency boundary regions and low-frequency homogeneous regions, leading to boundary blurring and spectral distortion.

This invention discloses an infrared thermal imaging sensor and an infrared temperature measurement method, belonging to the technical field of infrared thermal imaging sensors. It includes: an infrared optical lens for receiving and focusing infrared radiation from within the field of view; and a multispectral infrared detector array positioned at the focal plane of the infrared optical lens for converting the focused infrared radiation into electrical signals. By integrating a multispectral infrared detector array with an adaptive blackbody and combining it with an internal temperature monitoring module, this invention achieves real-time online dynamic correction of detector non-uniformity response and thermal drift effects, significantly improving the accuracy and long-term stability of temperature measurement. Furthermore, by introducing an online lens contamination monitoring module and an active multispectral excitation unit, this invention can identify and correct spectral distortion caused by lens contamination in real time. Simultaneously, it utilizes active excitation to enhance the constraint on target emissivity, thereby improving the accuracy and reliability of temperature measurement for fixed or slowly varying targets.

The present application relates to the technical field of spectral detection, and discloses a crop canopy light field spectrum data correction method and a nutrient detection device. The method comprises the following steps: collecting crop canopy hyperspectral data, removing the background by using an optimized soil to adjust the vegetation index after radiation correction; constructing a light field heterogeneity parameter model combined with a red edge response factor, determining a red edge modulation coefficient through iterative optimization of a clustering evaluation index; calculating the Euclidean distance from a pixel to the clustering center of strong and weak light to generate a fusion weight coefficient; constructing a differentiated benchmark correction model, and performing linear weighted fusion twice on the spectral data and the nutrient content calculated by the double regression model by using the fusion weight. Through the construction of the light field heterogeneity representation parameter and the soft segmentation strategy based on the distance weight, the smooth transition of the strong and weak light regions is realized, the spectral distortion caused by uneven light is eliminated, and the accuracy and robustness of the crop nutrient detection under complex light field are improved.

The application relates to the technical field of data synchronization, and particularly discloses a multi-channel instrument data synchronization method and system. Time sequence data and time stamps of each channel of a multi-channel instrument are acquired first, then a data sampling period and a clock drift rate are calculated according to the time sequence data and the time stamps, so as to quantize a time synchronization deviation, then transient energy ratio and spectral distortion degree of the time sequence signal are extracted to measure signal stability, after normalization processing, a dynamic drift risk index of the three is combined to judge whether a preset threshold is exceeded, low-risk data is grouped into a synchronization group, high-risk data is isolated and corrected and then merged into the synchronization group, and synchronization data is formed, through dynamic risk assessment and hierarchical processing, the influence of single-channel abnormality on overall synchronization is avoided, clock and signal stability are taken into account, and synchronization reliability is improved.

An anti-interference ultra-high time-resolution laser diagnostic method and device, belonging to the field of laser diagnostic technology, utilizes an ultra-high-speed wavelength modulation device with a GHz bandwidth to achieve GHz-level wavelength modulation of the laser output light, thereby improving the time resolution of laser diagnostics from the existing hundreds of kHz level to the GHz level, reaching the nanosecond level of detection. It can accurately capture the rapid evolution process of combustion and explosion flow fields at the nanosecond to microsecond scale, filling the technological gap in ultra-high-speed detection of nanosecond-level combustion and explosion flow fields. By mixing and filtering to extract multiple harmonic signals and performing ratio normalization processing on the harmonic signals, the influence of various interference factors such as light intensity fluctuations, radiation background, particle / droplet extinction, and signal scattering attenuation is fundamentally eliminated, obtaining a stable absorption characteristic signal independent of light intensity changes. This solves the problems of signal submersion and spectral distortion in traditional optical measurements in strongly disturbed combustion and explosion environments, and can work stably in extremely complex combustion and explosion flow fields.

The application discloses a high-precision calibration method for a hyperspectral laser radar for photon counting, belongs to the technical field of laser radars, and comprises two stages of spectral calibration and radiation calibration; the spectral calibration is based on monochromator wavelength-by-wavelength scanning and synchronous measurement of a beam splitter to extract spectral response parameters of each channel; the radiation calibration strictly decouples a detection link, extracts an effective attenuation coefficient of water in situ by using a slope method, and combines an air white plate benchmark and a window transmittance to perform full-link radiation correction, and inversely calculates target intrinsic spectral reflectivity which is stripped of interference. The application can be used for data correction, target accurate classification and identification and high-fidelity quantitative detection of the hyperspectral laser radar for photon counting, and solves the problem that original signals produce serious spectral distortion due to non-uniform energy of a light source of the hyperspectral laser radar and complex scattering and absorption of water.

The application discloses a kind of based on spectroscopy and intelligent algorithm's river mouth water quality rapid detection method for discharging, it is related to water quality detection technical field, comprising the following steps: S001, establish spectrum and time series joint observation layer, obtain water body reflection light signal by the dual polarization scanning and multi-angle calibration in incident path, generate multidimensional spectral baseline matrix;S002, based on multidimensional spectral baseline matrix executes coherent phase analysis, the spectral signal in reflection path is decomposed layer by layer, extract the distribution characteristic map of optical interference order, and generate the shield mask of optical interference wave band.The application is realized to the accurate identification and correction of the spectral distortion caused by oil film interference by multi-angle optical acquisition, coherent phase analysis and multi-source data fusion, and constructs dynamic pollution track and adaptive threshold barrier, effectively improves the identification sensitivity, response speed and system stability of river mouth water quality detection for discharging.

The application belongs to the technical field of remote sensing image processing, and discloses a remote sensing image panchromatic sharpening method based on a deep learning attention mechanism, aiming to solve the problems of spectral distortion, spatial blur and difficulty in cross-modal feature alignment of traditional panchromatic sharpening methods, and provide high-precision remote sensing data support for the fields of city planning, environmental monitoring and the like. The method comprises the following steps: constructing a training data set (cutting high-resolution PAN and low-resolution MS image blocks, filtering through satellite-specific MTF, downsampling to obtain input data, and taking the non-downsampled MS block as a label); extracting PAN and LR-MS basic features through a double-branch structure and splicing; collaboratively fusing features through a PanAB module (window, sliding window, longitude and latitude attention); restoring the size through deconvolution upsampling, adjusting the channel number through convolution, and outputting an HR-MS image. The application takes into account the spatial resolution and spectral fidelity, reduces the model overhead, and realizes efficient processing.

The application discloses a kind of spectral knowledge embedding and physical constraint remote sensing image generation method, belong to remote sensing image generation field.This method designs double random mask condition diffusion training strategy, simulates spectral response function and randomly discards effective band, and dynamically constructs incomplete condition input;Design physical guiding sampling mechanism, input preliminary reconstruction image into differentiable physical forward model, calculate the difference loss with preset physical target, and move the sampling trajectory to the solution space that satisfies remote sensing physical constraint in reverse direction;Build multiscale physical consistency joint loss function, pixel level forces each band spectral correlation to comply with priori, regional level requires that the generated image and the real image ground object index distribution remain consistent, and image level is constrained by simplified differentiable radiative transfer model The overall radiation consistency.This application solves the technical problems of spectral distortion and insufficient physical credibility of existing generation model, and the generation result meets the accuracy requirements of quantitative remote sensing analysis and ground object classification.

The application discloses a kind of gold ore grade online identification method, equipment and medium based on multispectral imaging, it is related to mineral processing intelligent detection technical field, comprising, using moisture interference index to carry out compensation calculation to original multispectral image data, reconstruct the dry basis spectral data of each pixel point;Spectral image formed by dry basis spectral data is carried out space domain segmentation, obtain a plurality of regions corresponding to different physical ore objects, and for the pixel point in each region, extract the spectral feature vector related to gold ore grade from dry basis spectral data;Spectral feature vector is input into physical constraint neural network model, and the predicted gold ore grade value of each pixel point is output;According to the spatial coordinates and predicted gold ore grade value of all pixel points, generate pixel-level gold ore grade distribution map, and real-time analysis is carried out to gold ore grade distribution map, and obtain gold ore grade identification report.The application realizes high-precision correction to spectral distortion caused by complex optical environment in industrial field.

This invention relates to the field of digital signal processing and power amplification technology, and discloses a power optimization method for high-power pulse amplification based on digital preprocessing. The method involves sampling and normalizing the pulse voltage into a discrete pulse signal with unit energy. Under a unified energy reference, a frequency domain transformation is performed to extract the amplitude and phase of each frequency point, forming a spectral sequence. A frequency response model is established based on the power amplifier's cutoff frequency to obtain the amplitude gain coefficient. A pre-compensation function, including an amplitude pre-compensation factor and a phase compensation amount varying with frequency, is constructed and applied to the spectral sequence, undergoing inverse transformation to form a pre-compensated time-domain signal. This pre-compensated time-domain signal is then input into the power amplifier, reconstructing the output spectrum and undergoing inverse transformation to obtain the output time-domain signal. The peak power and spectral energy fidelity are calculated. When the fidelity meets a threshold, power normalization is performed, and the signal is then connected to the transmission system. This solves the problems of difficulty in unifying compensation and spectral distortion, achieving the target power output while ensuring spectral fidelity.

The embodiment of the present application discloses a kind of for light air call human voice correction method, it is related to emergency rescue equipment technical field, the robustness of target human voice and a variety of specific interference can be effectively distinguished with low computing cost frequency domain operation, to achieve the purpose of noise reduction.The present application comprises: for mask inside and outside noise, while performing physical collision noise reduction and air supply valve noise reduction;Wherein, in the physical collision noise reduction link, the frequency domain energy profile is quickly matched, and physical collision noise is filtered;In the air supply valve noise reduction link, air supply valve noise is filtered by double feature decision mechanism, and the double feature decision mechanism includes: frequency domain peak signal-to-noise ratio decision and spectral dispersion degree decision.Microphone noise reduction link is executed;In the spectral distortion correction link, the spectral distortion of frequency domain data is compensated by pre-stored frequency domain correction curve.

This invention discloses a method for assessing the radiation hazard of a vacuum interrupter based on spectral distortion correction, belonging to the field of high-voltage testing and radiation detection protection technology. It includes the following steps: Step S1, obtaining the geometric parameters of the vacuum interrupter and calculating the spatial reference measured energy spectrum; Step S2, calculating the equivalent penetration thickness factor of X-rays within the main shield of the vacuum interrupter based on the spatial observation angle, and constructing a spatially related shield self-absorption attenuation matrix based on the equivalent penetration thickness factor of X-rays within the main shield of the vacuum interrupter. This invention provides a method for assessing the radiation hazard of a vacuum interrupter based on spectral distortion correction. Through external energy spectrum measurement and spectral reconstruction, and direct table lookup calculation of human tissue doses based on international standard conversion coefficients, it achieves a three-dimensional, accurate, and rapid quantitative assessment of the actual radiation hazard to the human body under specific high-voltage operating conditions.