54 results about "Spatiotemporal resolution" patented technology

This invention discloses a eutectic material with ion-stimulated fluorescence response and its preparation method. The eutectic material is a co-crystallized compound formed by a fluorescent cyclophenone and a crown ether through a host-guest interaction. The eutectic material and its preparation method provided by this invention utilize a fluorescent cyclophenone as the host and a crown ether as the guest, and the two are combined through a host-guest interaction to obtain the eutectic material. This material not only possesses ion-stimulated fluorescence response characteristics but also has advantages such as high spatiotemporal resolution and good sensitivity.

The invention discloses a large-view-field and high-temporal-spatial-resolution transmission electron microscope in-situ imaging method for a microcosmic electrochemical process, which comprises the following steps: step 1, loading an electrode material particle sample to be detected on a carrying table, inserting the sample into a transmission electron microscope vacuum lens cone along with a sample rod, identifying a target sample under low magnification, and carrying out basic adjustment on an electron microscope; 2, adjusting magnification times to ensure that an observation area is completely incorporated into an imaging view field, selecting an imaging mode, eliminating astigmatism, and adjusting the focal length of an objective lens until a sample particle image interface is clear; and step 3, selecting a CCD camera, setting an acquisition frame rate, and performing ultrafast acquisition of images or videos. The transmission electron microscope in-situ imaging technology giving consideration to both the large view field and the high space-time resolution has practical application value in research of the electrochemical reaction kinetics process of the granular material.

The application discloses a kind of precipitation product precision promotion method, system, equipment, medium and terminal.Belong to precipitation product precision technical field, obtain and analyze the characteristic statistical parameters of long sequence monitoring data and short sequence monitoring data, identify the precision of precipitation product, integrate several resampling methods to extract and identify the precipitation product with highest precision in specific area, integrate the deep excavation mechanism of basic specific target point precipitation fusion, the deep excavation mechanism includes optimal probability distribution identification, fusion scale optimization, order feature screening and discrimination method coupling and optimization, excavate the model parameter of specific target point, establish the spatial transmission model of relevant parameter by geostatistical method and spatial information regression mode, the purpose of the application is to construct the technical body system that can significantly improve the precision of current international and domestic mainstream high space-time resolution precipitation product by deep excavation multi-source precipitation product and the model conversion and parameter spatial transmission relationship of measured rainfall.

This invention belongs to the interdisciplinary field of marine remote sensing technology and artificial intelligence, specifically relating to a deep learning-based method for reconstructing a three-dimensional marine temperature field. The method includes: acquiring multi-source, multi-resolution satellite data and reanalysis data; constructing a sample library after preprocessing; building a three-branch MAUS Transformer model using a U-Net network as the framework, replacing convolutional blocks with Swing Transformer modules embedded in the encoding and decoding paths, and embedding a CBAM attention module to adaptively optimize feature representation. The three-branch model can extract and fuse features at resolutions of 1 / 100°, 1 / 8°, and 1 / 4° respectively; simultaneously, an adaptive loss function is designed to fuse horizontal partitioning and vertical layering, and a weighted constraint based on the real temperature gradient is introduced to reconstruct the thermocline. This invention can output a high spatiotemporal resolution three-dimensional marine temperature field, improving the accuracy, stability, and robustness of the reconstruction, and is of great significance for marine environmental protection, marine data development, marine engineering construction, and marine environmental safety assurance.

This invention relates to the field of soil attribute prediction technology, and discloses a method and system for predicting soil attributes based on multi-source environmental and remote sensing data. The method includes: acquiring soil environmental and remote sensing image data of a target area, unifying and standardizing the spatiotemporal resolution to generate a standardized dataset; obtaining a feature matrix after fusion and dimensionality reduction, and using random forest and gradient boosting tree to conduct feature analysis and fitness assessment to determine an initial prediction model combination; adjusting weight parameters and feature mapping to form an adaptive prediction model; performing attribute prediction and combining anomaly detection and error correction to generate a prediction dataset; obtaining optimized distribution data through distribution calibration, spatial smoothing, and residual optimization; constructing and validating an attribute distribution map; and finally generating basic data for soil management strategies through confidence interval evaluation and data fusion. This method can solve the problem of insufficient prediction accuracy under complex working conditions.

The invention relates to an ocean internal wave three-dimensional visualization method based on a high-temporal-spatial-resolution unstable flow field, and belongs to the technical field of computer vision and ocean fluid mechanics. According to the method, a GPU texture visualization technology is utilized, an internal wave data processing and feature extraction method is provided for vertical flow characteristics of ocean internal waves, and complex dynamic behaviors of the ocean internal waves in an unstable flow field are accurately displayed by highlighting a vertical velocity component W. Compared with a traditional method, the method has the advantages that the spatial and temporal change of high-resolution internal wave data can be reflected more truly, and the vertical flowing characteristics of ocean internal waves in a three-dimensional space can be clearly visualized. The technology is suitable for influence analysis of marine ecological and physical processes and artificial object motion trails, and helps researchers to deeply understand the influence of internal waves on marine fluid motion.

This invention relates to the field of hydrological and meteorological monitoring and information processing technology, and solves the technical problems of insufficient stability and accuracy of quantitative precipitation (QPE) in X-band phased array dual-polarization precipitation radar under strong attenuation, bright band crossing, complex terrain and rapid volume scanning scenarios. In particular, it relates to a method for quantitative precipitation estimation and error correction of X-band phased array radar. The method takes polarization-gated priority path attenuation correction as the core constraint, takes multi-parameter fusion based on weather type-rainfall intensity segmentation-adaptive weighting of cross-correlation coefficient as the main line, and converges through multiplicative (hourly scale) + additive (minute scale) hierarchical deviation correction closed loop, and finally outputs high spatiotemporal resolution precipitation products with pixel uncertainty and quality mask, which are suitable for real-time water conservancy operations at the watershed level and urban watershed.

This invention belongs to the field of marine remote sensing information processing technology and discloses a sea ice thickness inversion method based on multi-source heterogeneous fusion and physical constraints. The invention acquires multi-source heterogeneous GNSS-R data and performs hierarchical grouping and quality control; performs systematic bias and geometric correction on the data to generate a spatiotemporally continuous normalized reflectivity field; constructs a three-layer coherent reflectivity physical model of air-sea ice-seawater; constructs a two-stream physical sensing neural network, embedding the physical model as a differentiable constraint module into the network loss function, and uses the reflectivity field as input to invert sea ice thickness. This invention establishes a refined quality control system for the characteristics of semi-enclosed sea areas, overcoming the limitations of long revisit cycles and low coverage of single satellites. This invention also constructs a high spatiotemporal resolution sea ice monitoring system, solving the problem of instability in inversion of pure data-driven models in thin ice areas, and significantly improving the physical robustness of sea ice thickness inversion.

This invention discloses a method for calculating the effective utilization coefficient of irrigation water based on remote sensing ET (Emergency Thresholding). The method includes: acquiring the evapotranspiration of each pixel in the study area at high spatiotemporal resolution; extracting multi-source remote sensing features of Sentinel-2 multi-temporal spectral features during the study period, and combining them with a trained ensemble learning classification model to obtain a crop planting structure map for each ten-day period; using the evapotranspiration of the pixel as the crop water requirement for the ten-day period, selecting an effective precipitation model based on the cultivated land type of the crop in the pixel, and calculating the effective precipitation for the pixel based on the crop water requirement and precipitation for each ten-day period; using Sentinel-1 imagery of the study period combined with OTSU classification, marking pixels with increased moisture as moisture increase events in each ten-day period, and correcting the moisture increase events using a scatter plot to obtain a ten-day irrigation distribution map; and calculating the effective utilization coefficient of irrigation water in the study area based on the evapotranspiration, crop planting structure map, effective precipitation, irrigation distribution map, and gross irrigation diversion.

The application discloses a high-temporal-spatial-resolution short-term precipitation prediction method, comprising the following steps: S1, a plurality of source observation data sets are acquired, and each type of observation data in the plurality of source observations is preprocessed to obtain a grid-based plurality of source observation data set; S2, each type of grid-based plurality of source observation data in the grid-based plurality of source observation data set is fused to obtain multi-modal fused observation data; and S3, the fused observation data is input into a trained short-term precipitation prediction large model to obtain a high-temporal-spatial-resolution short-term precipitation prediction result.

This invention relates to a laser-based detection-based method for controlling the eccentricity of cable insulation layers, aiming to solve the problem of difficult eccentricity control caused by the unstable flow of molten polymer. The core scheme involves embedding a micro-stress sensor array in the extruder head to simultaneously collect multiple process parameters such as stress, temperature, pressure, and tension, integrating them into a multi-source raw dataset. A high spatiotemporal resolution dynamic stress field is reconstructed through spatiotemporal fusion, interpolation, and rheological correction. Furthermore, a physically meaningful three-dimensional stress fingerprint vector is extracted, and a response spectrum between stress and eccentricity evolution is constructed by combining historical calibration data, enabling real-time prediction of eccentricity trends. Based on the prediction results, servo-driven compensation adjustment is implemented in the extruder head to achieve dynamic feedforward control of concentricity, and model fine-tuning is performed based on laser detection feedback. This method improves the uniformity and process adaptability of insulation layer forming, and reduces the risk of eccentricity defects caused by fluctuations in operating conditions.

The application discloses a kind of three-dimensional deformation field measuring device and measuring method of projectile body in penetration process, it is related to projectile body penetration test technical field, its technical solution key points are: including: light gas gun, for launching solid projectile;Special target store, its lateral wall is equipped with observation window, inside is equipped with target plate and the projectile to be measured fixed on target plate;Three-dimensional digital image acquisition equipment, symmetrically arranged outside observation window, including two high-speed cameras of synchronous trigger, matching lens, high-brightness light source and synchronous trigger;Magnetic speed measuring instrument, set in the tail of the barrel of light gas gun;Data processing equipment is used to receive the image sequence collected by three-dimensional digital image acquisition equipment, based on calibration parameter calculation the three-dimensional displacement field of the surface of the projectile to be measured, full-field strain field and velocity field, visual output deformation evolution process.The application can realize the non-contact, high space-time resolution measurement of three-dimensional dynamic deformation field of projectile body itself in the transient process of projectile body penetrating target plate.

This invention discloses a spaceborne near-space horizontal two-dimensional wind field interferometric imager based on a ring field of view and a full-link simulation method. The imager includes an optical system, a detector, and a data processing unit. The optical system includes a front conical mirror, a field stop, a collimating lens group, a Fabry-Perot interferometer, a narrowband filter assembly, and an imaging lens arranged sequentially along the optical path. This invention improves the spatiotemporal resolution of the instrument's detection.

This invention discloses a blind-zone-free laser remote sensing system for stable boundary layer thermal material structures. The system includes a lateral scanning Raman scattering lidar receiving system with multiple lateral receiving systems, a lidar transmitting system, and a backscattering Raman scattering lidar receiving system. The lateral receiving system receives near-surface nitrogen and water vapor Raman signals and aerosol Mie-Rayleigh scattering signals, filling the detection blind zone of the backscattering lidar. The backscattering system detects signals in the upper atmosphere. The invention also discloses a blind-zone-free laser remote sensing method for stable boundary layer thermal material structures, which utilizes the lateral and backscattering systems for collaborative observation, respectively retrieving the water vapor mixing ratio, temperature, and aerosol extinction coefficient near the ground and in the upper atmosphere, and fusing them through a data stitching algorithm to obtain a blind-zone-free profile of the entire layer. This method enables refined detection of the entire layer from the ground to the upper atmosphere, continuously, with full parameters, and high spatiotemporal resolution.

This invention discloses an adaptive weighted fusion method for BeiDou and InSAR data regarding coal mine subsidence, comprising: extracting BeiDou subsidence time series and InSAR subsidence time series from acquired BeiDou GNSS observation data and SAR image data, and performing spatiotemporal registration; calculating the BeiDou observation accuracy index for each BeiDou station and the InSAR observation accuracy index for each InSAR pixel; performing spatial interpolation on the BeiDou observation accuracy index for each BeiDou station using a preset spatial interpolation method to obtain the BeiDou observation accuracy index for each InSAR pixel; adaptively determining the fusion weights of the BeiDou and InSAR subsidence time series based on the BeiDou and InSAR observation accuracy indices for each InSAR pixel; and weighted fusion of the BeiDou and InSAR subsidence time series using the fusion weights to obtain an adaptively weighted fused subsidence value. Based on this, this invention generates a high-precision, high-reliability, and high spatiotemporal resolution coal mine subsidence monitoring product.

The present application provides a kind of offshore ship overload identification method, computer storage medium and system, it is related to the technical field of multi-modal data processing, by the preset space-time integration system acquisition multi-modal data, break through the single data source limitation, realize the all-around, multi-angle, real-time dynamic coverage to target ship, significantly improve data dimension and space-time resolution, avoid the recognition error caused by data missing or visual angle blind area, lay reliable data foundation for subsequent high-precision analysis.Based on multi-source fusion data, the identity of the target ship is identified, and the initial draft of the ship is further obtained based on this, to ensure that the subsequent compensation and overload criterion is customized for a specific ship, and sea wave height compensation, ship attitude compensation and ship speed compensation are introduced, which avoids dynamic interference in cooperation, and finally obtains the overload identification result of the ship based on the real draft, the ship navigation area and the navigation season, improves the accuracy and reliability of the offshore ship overload identification.

This invention pertains to computational fluid dynamics and machine learning technologies, specifically a physical mechanism-guided heterogeneous extrapolation method for high-resolution, meter-level dynamic fields of urban buildings. The method includes the following steps: selecting representative urban blocks to form a sample block set; using a WRF model to provide a regional-scale meteorological background field for the target city; driving a LES model to perform flow field calculations on the sample block set, generating high spatiotemporal resolution flow field data for the sample blocks, and pairing this data with corresponding meteorological background data to generate a training database; constructing and training a deep learning model for latent space injection of meteorological information, establishing an end-to-end nonlinear mapping relationship from the coupling characteristics of urban geometry and meteorological boundaries to the LES fine flow field through a dual-path encoding path and latent space injection mechanism; and dividing the target urban area into multiple local computational units to extrapolate the high-resolution dynamic field of the entire urban area. This invention balances computational efficiency, prediction accuracy, and physical consistency, enabling rapid response to urban dynamic fields.

A kind of compression confocal imaging device and method based on digital micro-mirror device, the device includes confocal microscopic imaging module and single-pixel imaging compression detection module, the confocal microscopic imaging module and the single-pixel imaging compression detection module have the digital micro-mirror device and the sample detection light path between the digital micro-mirror device and sample, wherein, when confocal image acquisition is carried out to sample, the digital micro-mirror device becomes the confocal pinhole of the confocal microscopic imaging module, when single-pixel sampling is carried out to sample, the digital micro-mirror device becomes the confocal pinhole and single-pixel sampling light coding element of the single-pixel imaging compression detection module.Using the device and method of the application, confocal microscopic imaging can be realized under the condition of high speed low light toxicity sampling, the activity of biological sample can be fully guaranteed, and high spatiotemporal resolution imaging effect is provided.

The application provides an ozone spatial source analysis method and device based on multi-dimensional feature fusion and a readable storage medium thereof. The method aims to solve the problems that the prior art cannot analyze the pollution source category attribution, the precursor chemical path and the spatial transport distribution in a unified framework, and the analysis result is difficult to adapt to the business evaluation index. The method determines a target period corresponding to the ozone daily maximum continuous specified time length sliding average value by acquiring source response, precursor sensitivity and spatial weight field data, splits the contribution of each source category into chemical path contributions of different precursor paths according to the sensitivity, performs secondary normalization processing on the spatial weight field in the target region by using a static regional mask, projects each chemical path contribution to the normalized spatial weight field and superimposes them to generate a high spatiotemporal resolution ozone spatial source distribution field with chemical and physical meanings. The application can be used for quantitative spatial source analysis of regional ozone pollution joint prevention and control.

The invention discloses a snowfall inversion method based on a millimeter wave cloud radar and a microwave radiometer, and relates to the technical field of radar snowfall inversion, and the method comprises the following steps: S1, data input: millimeter wave cloud radar data and microwave radiometer data are input; s2, multi-source equipment data space-time dimension matching is carried out; s3, phase state classification of extremely cold particles, and elimination of non-snowfall phase state interference; s4, inverting the snowfall rates of different height layers; s5, the accumulated snowfall of the whole-layer snowfall rate is obtained through time integration; and S6, outputting a result. According to the invention, the complementary advantages of high temporal-spatial resolution of the millimeter wave cloud radar and abundant atmospheric environment parameters of the microwave radiometer are brought into full play, the inherent defect of single equipment inversion is solved, and the precision and reliability of snowfall inversion in the extremely cold environment are greatly improved; and a data support is provided for practical applications such as meteorological monitoring and early warning in extremely cold areas, and prevention and reduction of snowstorm disasters.

The application provides a marine surface temperature prediction method and device, electronic equipment and storage medium, and belongs to the technical field of marine observation. The method comprises the following steps: based on first satellite image data, determining first observation data of each pixel in an image of a target sea area at a target spatial resolution, and based on second satellite image data, determining second observation data of each pixel in the image; performing fusion analysis on the first observation data and the second observation data of each pixel to determine a sea surface temperature prediction result of the target sea area at the target spatial resolution and a target time resolution; and the target time resolution is determined based on the time resolution of the second satellite image data. The application can effectively obtain a high-precision, high-spatial-temporal resolution and high-coverage SST fusion product, well meets the rapid development demand of the field of marine resource development, and greatly improves the application value of the SST product.

This invention discloses a landslide dynamic deformation and rupture monitoring method integrating InSAR and UAV, belonging to the field of geological disaster monitoring technology. It aims to address the problems of highly concealed bedding landslides in high mountain and canyon areas, insufficient spatiotemporal resolution of traditional monitoring methods, and the difficulty of using a single technology to simultaneously monitor macroscopic deformation and microscopic rupture. The core of its technical solution is as follows: first, establish a monitoring spatial benchmark and preprocess multi-source SAR data; then, calculate the global deformation field and optimize zoning through a combination of PS-InSAR and SBAS-InSAR; finally, collect rupture features using UAV and construct a three-dimensional model; and establish a deformation-rupture correlation through spatiotemporal fusion of multi-source data, combined with a dynamic early warning mechanism, to achieve full-scale dynamic monitoring and graded early warning of landslides, providing support for early identification and risk management of landslides.

The application discloses a kind of on-chip temperature sensing methods for integrated circuit heat distribution monitoring, belong to semiconductor technical field, to solve the problems such as insufficient space-time resolution, large thermal field reconstruction deviation and high hardware overhead in prior art.The method is embedded by microstructure thermal response unit consisting of high thermal conductivity metal layer and low thermal capacity dielectric layer in chip, to its thermal time constant as dynamic perception parameter, and constructs the three-level architecture of basic perception layer, regional aggregation layer and global coordination layer;Combining pulse heating-cooling time sequence measurement, weighted fusion based on heat flow continuity constraint and data assimilation algorithm based on partial differential equation constraint, high-precision real-time reconstruction of three-dimensional temperature field is realized.The scheme does not need additional process mask, and the area overhead is less than 0.5%, with sub-millimeter spatial and microsecond temporal resolution.

This invention discloses an ultra-high spatiotemporal resolution single-shot measurement system based on warm-dense gold, belonging to the field of pump-probe technology. It includes a femtosecond laser module, a femtosecond pulse compression module, a femtosecond pulse shaping module, a 400nm few-period femtosecond pulse module, a sample module, a probe light module, and an imaging system module. The femtosecond laser module provides a femtosecond laser beam, which is compressed by the femtosecond pulse compression module to generate a few-period femtosecond pulse. After optimization by the femtosecond pulse shaping module, the pulse is split into two beams. One beam is used to generate an ultraviolet-band few-period femtosecond pulse through the 400nm few-period femtosecond pulse module, serving as the pump light. The other beam is used to generate an 800nm ​​few-period femtosecond pulse through the probe light module, serving as the probe light. The sample to be measured is placed inside the sample module, and the pump light and probe light act on the sample module simultaneously. Imaging is achieved through the imaging system module. This invention solves the problem that due to low temporal resolution, the Auger time of electrons in metals is on the order of 10 femtoseconds, making it impossible to effectively detect the initial processes of the formation of warm-dense materials.

The application provides a kind of method and system for dissimilar metal molten pool flow visualization based on synchrotron radiation.The method comprises preparing dissimilar metal sample;Clamping dissimilar metal sample in sample clamping table, adjusting the X-ray incident direction of synchrotron imaging device to penetrate dissimilar metal sample;Irradiate dissimilar metal sample with laser;Transmitting imaging of mixed molten pool is carried out using synchrotron radiation source, and a sequence of transmission imaging is obtained;The transmission imaging sequence is analyzed to obtain the dynamic migration and flow pattern image information and data of the metal in the mixed molten pool.The method does not need to introduce tracer particles or bubbles, and does not change the intrinsic flow of the molten pool;The imaging contrast is high, the space-time resolution is high, the real and repeatable molten pool internal flow field information can be obtained, and it is suitable for the molten pool dynamics research and mechanism analysis in the process of laser welding and additive manufacturing, to provide reliable data support for molten pool flow model verification and process optimization.

This invention discloses a method for fusing InSAR and GNSS heterogeneous surface deformation based on an adaptive sparse spatial basis, belonging to the field of geological disaster monitoring and data processing technology. The method first acquires and aligns InSAR and GNSS deformation sequences; calculates the InSAR deformation feature field and its spatial gradient magnitude; sparsifies control points according to gradient thresholds to construct an adaptive sparse spatial basis set that is sparse in low-gradient regions and dense in high-gradient regions; models the deformation observations, combines the spatial basis set with the state transition equation, and uses filtering smoothing and the EM algorithm for iterative solution to reconstruct a high spatiotemporal resolution deformation sequence. This invention can adaptively match deformation spatial features, reducing the computational dimensionality while preserving local deformation details, and achieving high-precision fusion of heterogeneous data.

The application discloses a kind of turbulent flame geometry three-dimensional tomography method and system based on multi-probe CGI, comprising: N single-pixel detector is arranged around flame to form multi-probe detection array, dynamic space illumination modulator is used to generate structured light field to illuminate flame, each detector synchronously acquires barrel detection signal;Through compressed sensing reconstruction algorithm combined with convex optimization solving method, flame two-dimensional projection image under each view angle is recovered;Using adaptive histogram equalization, combined with filtering method, the calculation ghost imaging noise is inhibited, and two-dimensional projection image preprocessing is realized;Based on multi-view geometric projection relationship, construct tomographic projection matrix, use algebraic reconstruction technique combined with full variation regularization iterative algorithm to solve three-dimensional voxel distribution, and the flame front geometry three-dimensional structure is reconstructed.The application uses single-pixel detector to replace traditional area array camera, with the advantages of low cost, strong ability to resist harsh environment, high time resolution, suitable for high space-time resolution three-dimensional measurement.

This invention discloses a method for dynamically detecting the morphology of a cavity based on interlayer fracture vibrations, belonging to the field of cavity construction and monitoring technology for salt cavern gas storage. The method involves drilling and trenching to locate the cavity center and mudstone interlayer, deploying monitoring points and burying distributed monitoring optical fibers in the outer region of the cavity wall to capture the vibration wave signals of the interlayer fracture, recording the time difference and fluctuation intensity differences; analyzing the signal data of the propagation path to establish a three-dimensional coordinate system; and establishing a system of equations based on the time difference between the primary fracture vibration and the secondary vibration from the rock impact to calculate the three-dimensional coordinates of the fracture point and characteristic points of the cavity wall; then reconstructing the real-time contour of the cavity based on the layered symmetrical fracture characteristics and signal energy characteristics, and verifying it with other signals from the fracture layer and correcting the accuracy of the monitoring equipment. This method does not require interruption of the cavity construction operation, has high spatiotemporal resolution, and can accurately invert the cavity morphology, providing a basis for dynamic adjustment of the flow velocity and direction in water-soluble cavity construction, effectively reducing the risk of cavity collapse and excessive lateral dissolution.

This invention discloses a binocular imaging spectrometer system, relating to the field of planetary atmospheric exploration technology. The system comprises: a binocular imaging objective group, including two sets of parallel sub-eye objectives used to image ambient light information to form an intermediate image; a dual telecentric imaging objective group, positioned on the image side of the binocular imaging objective group, used to perform secondary imaging of the intermediate image and project it onto the slit location of the spectrometer; and a grating spectrometer, including a slit, a dispersive element, and an imaging camera, with the slit located at a predetermined slit image plane position on the spectrometer; wherein the dual telecentric imaging objective group is telecentric in both the object and image sides, ensuring that the principal ray of the beam entering the slit after secondary imaging is parallel to the system's optical axis. This invention aims to meet the requirements of miniaturization and lightweight payload equipment while achieving high spatiotemporal resolution and wide-band detection.

This invention discloses a coherent radar method for inverting ocean waves and currents, considering shadowing and curvature effects. First, initial wave parameters are calculated based on the Pierson-Moskowitz wave spectrum. Then, the spatial distribution of effective wave height is solved by combining shallowing effects and frictional dissipation, and the orbital velocity of sea surface wave particles is calculated. A shadowing function and a curvature correction function are established to correct the orbital velocity. Finally, a Doppler frequency shift model incorporating wave and current elements is constructed. Combined with the range-Doppler spectrum observed by coherent radar, the current velocity is inverted using the least squares method. This invention overcomes the deficiency of traditional models that neglect non-Bragg scattering, achieving simultaneous inversion of wave and current parameters, improving inversion accuracy, and meeting the high spatiotemporal resolution observation requirements of nearshore waters. It is applicable to fields such as marine engineering, shipping, and aquaculture.