172 results about "Sea surface wind" patented technology

The invention discloses a sea surface wind measurement method based on an X-band marine radar and belongs to the technical field of marine dynamic environment remote sensing. The measurement method comprises three parts of radar image preprocessing, wind direction measurement and wind speed measurement. In the wind direction measurement indexes, image gradient, gray level and smoothing item are organically combined, the proportion of the image gradient, the gray level and the smoothing item is adjusted through proportionality factor and a model suitable for the sea surface wind characteristic is established, compared with the prior art, the wind direction measurement precision is improved by 68.4 percent. In the wind speed measurement indexes, when the radar is used for measuring individually, normalized radar cross section (NRCS), the actually measured wind direction and signal to noise ratio (SNR) serve as back propagation (BP) network input, compared with the traditional algorithm, the wind speed measurement precision is improved by over 84 percent. In the wind speed measurement indexes, sea boundary layer parameters serve as addition input of the BP network, so that the wind speed measurement precision of the marine radar can be further improved, and the measurement precision is improved by over 48 percent by taking air-sea temperature difference, salinity, sea level and atmospheric pressure into consideration.

The invention provides an HY-2 satellite scatterometer sea surface wind field retrieval method and device. The method comprises the steps of building a physical geography module function; setting a target function based on the physical geography module function; searching for the local maximal wind speed and wind direction of the target function for each wind vector unit, and taking the obtained wind speed and wind direction as ambiguity solutions of the current wind vector unit; selecting ambiguity solutions corresponding to two maximal target values from the ambiguity solutions of the current wind vector unit, respectively comparing the two ambiguity solutions with an NCEP (National Centers for Environmental Prediction) forecast wind direction, and taking the ambiguity solution which is closest to the NCEP forecast wind direction as the initial field of the current wind vector unit in the comparative results; taking initial fields of all wind vector units as an ambiguity solution initial field of circle median filter, and performing ambiguity solution removal operation to obtain real data of a sea surface wind field. The HY-2 satellite scatterometer sea surface wind field retrieval method and device are adaptive to the requirements of ambiguity solution removal needed by the scatterometer wind field inversion under various complex environmental conditions, and the forecast accuracy is improved.

The invention provides a fusion method and device of a multisource sea surface wind field. The fusion method comprises the following steps: obtaining multisource sea surface wind field data which comprises sea surface wind field data and/ or multiple pieces of reanalysis meteorological sea surface wind field data collected by a plurality of satellite borne microwave remote sensors; according to a preset temporal-spatial resolution, independently carrying out meshing processing on the sea surface wind field data obtained by each satellite borne microwave remote sensor to obtain multiple pieces of corresponding sea surface wind field data with the equal longitude and latitude; and utilizing a temporal-spatial interpolation algorithm to carry out interpolation calculation on all sea surface wind field data with the equal longitude and latitude to obtain fusion sea surface wind field data. The fusion method can perform the advantage of the cooperative observation of a multisource satellite, can effectively improve the coverage range and the temporal-spatial resolution of the sea surface wind field data through the fusion sea surface wind field data constructed by the fusion of satellite remote sensing wind field data and/ or reanalysis meteorological sea surface wind field data on a premise that meso-and micro-scale characteristic information can be kept, and can better meet the requirements of numerical weather prediction, marine forecasting research and marine meso-and micro-scale system research.

The invention discloses a predication method of a maritime searching and rescuing target drifting path. A maritime searching and rescuing model is constructed based on an ocean dynamic environment field numerical forecasting technique of ocean surface wind, ocean current, ocean waves and the like to forecast a drifting path of overboard personnel in danger and maritime wrecked ships to give information including positions of a searching and rescuing target of all moment, searching and rescuing radiuses of different possibilities and the like, so that a searching and rescuing commander can give the optimal manner for rescuing in the field in the shortest time and the searching and rescuing movement is safely and rapidly carried out. The predication method specifically comprises the steps: collecting historical weather data; utilizing an atmosphere model to calculate to obtain a wind field of a sea area on the periphery of a maritime dangerous accident happening place; obtaining field wind real-time observation data of the sea area on the periphery of the dangerous accident happening place; carrying out data assimilation on the field wind observation data; adopting an ocean wave numerical value model to forecast a wave field of the sea area on the periphery of the dangerous accident happening place; utilizing the ocean wave numerical value model to forecast a three-dimensional flow field containing wind driven current and tidal current and realize the predication of a dynamic drifting track of the maritime personnel or ships in danger; and directly displaying a predicated value of the searching and rescuing target drifting path.

The invention provides a sea surface wind field inversion method and device and belongs to the technical field of a synthetic aperture radar. The method comprises steps that a cross polarization synthetic aperture radar (SAR) remote sensing image and European medium and long term weather forecast center (ECNWF) re-analysis wind field data are acquired; according to the acquired cross polarizationSAR remote sensing image and the ECNWF re-analysis wind field data, the corresponding relationship between a normalization backward scattering cross section value NRCS of the cross polarization SAR remote sensing image based on a radar incidence angle and the wind speed of the ECNWF re-analysis wind field data is acquired; sea surface wind field inversion is acquired according to the correspondingrelationship. The method is advantaged in that sea surface wind field inversion can be carried out without the auxiliary wind direction information, and sea surface wind field inversion of the synthetic aperture radar remote sensing image based on the cross polarization mode is realized.

The invention provides a calibration method and device of the back scattering coefficient of a space-borne scatterometer. The calibration method comprises the following steps: obtaining a back scattering coefficient corresponding to a wind vector unit in the space-borne scatterometer, the observation geometry of the back scattering coefficient, and reanalysis wind field data matched with the back scattering coefficient and the observation geometry; according to the observation geometry and the reanalysis wind field data matched with the observation geometry, calculating a relative wind direction matched with the observation geometry; according to the relative wind direction, constructing the observation sample set of the obtained back scattering coefficients; and according to a preset standard sample set, calibrating the observation sample set to obtain a calibration result to show whether the back scattering coefficient measured by the space-borne scatterometer is correct or not. The reanalysis sea surface wind field data is used for developing a quick evaluation method of the back scattering coefficient of the dual-cosine distribution characteristics of the wind direction on the basis of the back scattering coefficient, the quick evaluation of the back scattering coefficient can be realized in short time, evaluation accuracy is high through the reanalysis data, and meanwhile, the evaluation method is high in universality.

The invention provides a fusion inversion method and device for a sea wave significant wave height field. The method comprises steps as follows: acquiring a significant wave height field which is acquired by a spaceborne radar height gauge and comprises substellar point sea wave significant wave height data as well as a sea surface wind field which is acquired by a spaceborne microwave scatterometer and comprises wide swath sea surface wind speed data; performing conversion calculation processing on the acquired sea surface wind field according to the wind wave growth relation between sea surface wind speeds and sea wave significant wave heights, and obtaining a wind wave field having the same swath as the sea surface wind field; performing correction processing on the wind wave field according to the acquired significant wave height field, and obtaining the sea wave significant wave height field having the same swath as the sea surface wind field; providing the sea surface wind field with wide swath, high precision and high spatial resolution through the spaceborne microwave scatterometer, converting the sea surface wind field acquired by the scatterometer into the wind wave field according to the wind wave growth relation, performing correction processing on the wind wave field through the significant wave height field of the height gauge, and finally, obtaining the significant wave height field with wide swath, high precision and high spatial resolution.

The invention belongs to the field of sea surface wind direction inversion through a remote sensing means, and particularly relates to a navigation radar image sea surface wind direction inversion method based on a wave number energy spectrum. The method comprises the steps of preprocessing a radar image, extracting sea surface static characteristics and inverting sea surface wind direction information. According to the navigation radar image sea surface wind direction inversion method based on the wave number energy spectrum, a space domain does not need to be reduced, the space domain can automatically adapt to wind stripes of different scales, the wind direction can be measured under different sea conditions, an error result is stable, and engineering availability is high. According to the navigation radar image sea surface wind direction inversion method based on the wave number energy spectrum, only the wind stripe energy spectrum is extracted through wave number energy spectrum wave number scale separation, the wind direction inversion precision is improved, and the interference of the noise of other scales is reduced.

The invention provides a sea surface wind direction extraction method based on a ship-borne high-frequency ground wave beyond visual range radar, belongs to the field of ocean remote sensing, and solves the problems that an existing sea surface wind direction extraction method is small in detection range and has no continuity, and the system is complicated. The sea surface wind direction extraction method comprises the following specific steps: obtaining a first-order sea clutter widening spectrum in a distance door by using a single receiving array element; determining corresponding positive and negative Bragg peak values and a spatial resolution of a sea clutter incidence direction according to a first-order sea clutter space-hour distribute property; obtaining a sea surface wind direction according to the relative strength of the positive and negative Bragg peak values; applying the sea surface wind direction to a resolution unit of each sea area in the distance door and extracting the wind directions of all the sea areas in the distance door; comparing the sea surface wind directions of the resolution units of the adjacent sea areas and eliminating wind direction blurs to obtain the sea surface wind direction of the distance door; and repeating the steps until the sea surface wind directions of all the distance doors are obtained. The sea surface wind direction extraction method based on the ship-borne high-frequency ground wave beyond visual range radar is used for monitoring the sea environment.

The invention relates to the technical field of sea exploration, particularly to a multi-parameter step-by-step sea surface salinity inversion method and device. The method comprises the following steps: obtaining the backscattering coefficient of an L waveband of a target sea surface area through a satellite-borne microwave scatterometer, and carrying out wind speed inverse operation according to the backscattering coefficient and NWP (Numerical Weather Prediction) wind speed information to obtain sea surface wind speed information; obtaining the sea surface radiation brightness temperature information of a C/K waveband through the satellite-borne microwave scatterometer, carrying out temperature inversion operation according to the sea surface radiation brightness temperature information to obtain sea surface temperature information; and substituting the sea surface wind speed information and the sea surface temperature information into a forward direction radiation model of the L waveband to carry out salinity inversion operation to obtain sea surface salinity information. The method can utilize load carried by a sea salinity satellite to independently carry out inversion on sea surface wind speed, sea surface temperature and sea surface salinity, dependency on external auxiliary data by sea surface salinity inversion is solved, and the accuracy of a salinity result is finally improved.

The invention discloses a joint inversion method of a sea surface wind field and sea waves. The joint inversion method of the sea surface wind field and the sea waves includes: performing radiometric calibration and filtration on a synthetic aperture radar image in a wind field database, splitting the image after being filtered into a plurality of subsidiary images according to preset size, and respectively calculating back scattering sections and central point incidence angles of the subsidiary images; using a man-machine interactive method to obtain external wind direction information, and obtaining the wind directions corresponding to the subsidiary images and obtaining the wind direction of the synthetic aperture radar image through interpolation calculation; processing the wind direction of the synthetic aperture radar image and the central point incidence angles so as to obtain spectrum of the sea waves, and obtaining parameters of the sea waves according to a relation between the spectrum of the sea waves and the parameters of the sea waves. The joint inversion method of the sea surface wind field and the sea waves achieves the purpose of avoiding repeating input operations of external information, can accurately and efficiently feed back the synthetic aperture radar (SAR) sea surface wind field, guarantees that the wind filed and the sea waves have the same spatial resolution, and improves accuracy of an inversion result.

The invention discloses an indoor sea surface wind field simulation test device which comprises a movable rack, an axial-flow fan unit and a computer control system. The axial-flow fan unit is fixed on a rotation shaft vertically led down at the tail end of a suspension arm; the suspension arm is fixed on a shaft of a rotatable support of a support column; a computer controls the suspension arm to swing up and down along the shaft of the support, controls the support column fixing the suspension arm to rotate and controls the rotation shaft fixing the axial-flow fan unit to rotate so that the wind blown by the axial-flow fan unit can be adjusted at any angle, the real conditions of the wind power environment change in the marine environment are simulated in a laboratory, and a reliable test technical means for conducting a wind power environment test is provided for the marine environmental monitoring equipment and the ocean energy generation device.

The invention discloses a sea wave surface reduction method comprising the following steps: (1) selecting an inversion object region; acquiring an HH polarization image and a VV polarization image of the object region; (2) on the basis of a multipolar inclination modulation algorithm, inverting directional slopes corresponding to various pixels according to the parameters of the HH polarization image and the VV polarization image; (3) utilizing sea surface wind to invert a geophysical function so as to correct the distancing slopes of the HH polarization image and the VV polarization image; (4) inverting the relative wave heights of various pixels according to the directional slopes and the distancing slopes; and (5) reducing a three-dimensional sea wave surface according to the relative wave heights. The sea wave surface reduction method can invert the relative wave heights of concrete pixels on a sea surface, reduce a three-dimensional scene of the sea wave surface and reflect the true conditions of the sea surface.

The invention discloses a seabed oil spill prediction method, relates to the field of marine environmental science, and is used for solving the problem that seabed oil spill cannot be grasped and controlled due to less research on a seabed oil spill model. The method includes: in an initial stage of seabed oil spill, the displacement of oil droplets in seabed oil spill under the entrainment effect, the buoyancy effect and the dragging effect is determined by employing a Lagrange integration formula and a concentration gradient formula, the oil droplets start to float from a seabed oil spill region under the entrainment effect, the buoyancy effect and the dragging effect, and when the oil droplets rise in the seabed, the rising speed of the oil droplets is determined through a first formula according to the buoyancy to the oil droplets; and when the oil droplets rise to the sea surface from the seabed, the drifting trajectory of the oil droplets in a certain depth is determined through a second formula and the diffusion distances of the oil droplets in the certain depth and on the sea surface are determined through a third formula under the effects of a sea three-dimensional flow field and a sea surface wind field.

The invention discloses a sea surface wind speed inversion method based on a cross polarization model and CMOD5N. The method comprises the steps of: according to the CP model and a C-2PO method, utilizing VV polarization and VH polarization SRA images to carry out inversion and obtain an initial wind speed U0 and an initial wind direction [phi]0 of a reconstruction resolution unit; determining wind field vectors (U, [phi]) according to the initial wind speed U0 and the initial wind direction [phi]0, using the wind field vectors (U, [phi]) as a first guess value, and utilizing a CMOD5N algorithm to gradually traverse and calculate normalized radar scattering cross sections NRCS of corresponding VV polarization in upper and lower limit ranges of the wind speed and the wind direction with the first guess value serving as a center; and finding out the wind speed and the wind direction which have the smallest differences with the normalized radar scattering cross sections NRCS of VV polarization SRA images, wherein the wind speed and the wind direction having the smallest differences are the wind field vectors obtained by inversion. According to the invention, the wind speed inversion precision of the existing C-2PO method is generally improved in different SAR image reconstruction resolution scale situations.

Systems and methods are provided that involve obtaining emissivity and reflectivity by the ratio of the radiance temperature versus the sea level temperature as observed by a satellite, and may further calculate two reflectivity values observed or simulated by the vertical or horizontal polarized channels of microwave, and then estimate a surface roughness. Further, illustrative implementations may involve obtaining the regression relation expression between the surface roughness and the wind strength and then detecting the sea-surface wind, using the information observed by the satellite again. As such, the sea-surface wind information can be obtained through satellite observation, and the information can be utilized for preventive activities against disaster including typhoon, the energy industry including wind power and the fishery in quasi-real time.

The invention discloses a retrieval method which uses the change rule of the uniformization radar section along with incidence angles and the specific corresponding relation between the wind direction and the wind speed to directly confirm a sea surface wind vector according to the linear characteristics of incidence angles in a detecting range of an airborne SAR. The retrieval method specifically comprises the steps of firstly confirming detecting data of the airborne SAR, then controlling image quality and confirming a beginning incidence angle and an end incidence angle, thirdly confirming a row mean value curve of the change of the uniformization radar section along with the incidence angles and building a standard curve base, and then finding a curve with the highest similarity to the row mean value curve for the specific standard curve base to obtain the wind direction and the wind speed. The retrieval method gets rid of relying on auxiliary information, directly uses airborne SAR detecting data to accurately invert the sea surface wind vector and can provide technical support for service application of airborne SAR sea surface wind vector retrieval.

The invention discloses a joint inversion device of sea surface wind field and sea waves, wherein the device includes: a calibrating module for performing radiometric calibration on a synthetic aperture radar image in a wind field database; a splitting module for splitting the filtered image into a plurality of subsidiary images according to preset size; an interpolation calculating module for obtaining external wind direction information by a man-machine interactive method, and obtaining wind directions of corresponding the subsidiary images; an inversion module for performing inversion to obtain a sea surface wind field; a separation processing module for inputting the sea surface wind field, separating by a wave number separating method to obtain an image spectrum of the sea waves and an image spectrum of surge of the synthetic aperture radar image; and a joint inverting module for performing joint inversion on the obtained spectrum of sea wave to obtain sea wave elements. The joint inversion device of sea surface wind field and sea waves achieves the purpose of avoiding repeating input operations of external information, can accurately and efficiently feed back the synthetic aperture radar (SAR) sea surface wind field, guarantees that the wind filed and the sea waves have the same spatial resolution, and improves accuracy of an inversion result.

The invention discloses a sea radar image sea surface wind speed inversion method based on an RBF neural network, and belongs to the field of sea surface wind speed inversion by using a remote sensingmeans. The invention discloses a sea radar image sea surface wind speed inversion method based on an RBF neural network. The method comprises four parts of sea radar image data preprocessing, RBF neural network input layer construction, RBF neural network model determination and sea surface wind speed information extraction. The sea surface wind speed inversion process is completed based on a model obtained by training a single hidden layer RBF neural network, and an RBF neural network input layer sample is constructed by adopting a normalization result of a sea surface wind field energy spectrum, sensor information and sea condition information; meanwhile, an application subtraction clustering algorithm is proposed, a neural network is determined according to the density index of an input sample and clustering judgment conditions to determine the number of hidden layer units and the center and expansion constant of a primary function, and a network output layer connection weight is obtained by using recursive least squares.

The invention discloses a sea surface wind field fusion method for SAR (Synthetic Aperture Radar) based on variation. The method comprises the following steps: firstly, selecting an area with relatively obvious wind stripe characteristics in an SAR image, and analyzing to obtain the wind direction of ocean surface with high precision by adopting a WT (Wavelet Transform) method, so as to obtain a sea surface wind speed by inverting a geophysical model function; secondly, inverting a sea surface wind field in an SAR observation area by using a WRF (Weather Research Forecast) mode wind direction; and finally, optimizing and adjusting a background filed through an observation field by using a variation method by taking the sea surface wind field as an observation field based on wind stripe inversion and taking the sea surface wind field as a background wind field based on wind stripe inversion, so as to obtain a fused sea surface wind field. According to the sea surface wind field fusion method for the SAR based on the variation provided by the invention, the problem that sea surface wind direction inversion depends on the wind stripes can be solved, the inverted sea surface wind direction can be optimized and adjusted by using a variational method, and the integral precision of the inverted regional sea surface wind field can be improved.

The invention discloses a GNSS-R sea surface wind speed inversion method and system based on a BP neural network, and the method comprises the steps: inputting a to-be-measured DDM image into a pre-trained sea surface wind speed inversion model, and outputting a corresponding inversion wind speed; wherein the sea surface wind speed inversion model is a BP neural network. According to the method, the GNSS-R sea surface wind speed is inverted by utilizing the BP neural network, the model is simple, the modeling time and the inversion time are shortened, and the inversion precision is further improved; the BP neural network makes full use of the physical quantity related to the wind speed in the DDM graph to perform feature learning, reduces the calculated amount and shortens the time consumption under the condition of ensuring the inversion precision, and has the characteristics of simple and rapid model, high result precision and the like.

The invention provides a satellite-borne SAR (Synthetic Aperture Radar) based offshore wind energy resource remote sensing method. The satellite-borne SAR based offshore wind energy resource remote sensing method comprises step 1, obtaining a long time sequence SAR sea surface wind speed value in every grid and a sea surface wind direction value in every grid after grid processing and generating a wind rose diagram; step 2, obtaining different altitudes of sea surface wind speed values, estimating a scale factor A and a shape factor k in every grid and calculating an average wind speed value of different altitudes of representative wind energy characteristics; step 3, obtaining a wind energy density value; step 4, generating a remote sensing result distribution diagram of the different altitudes of SAR offshore wind energy resources, obtaining the macroscopic and microscopic time and space characteristics of the offshore area wind energy resources according to the remote sensing result distribution diagram and giving out the microscopic time and space characteristics of a potential wind power station and potential wind power station wind energy resources; step 5, giving out fan space layout parameters of the potential wind power station and combining with a microcosmic research result of the win energy resources of the potential wind power station to give out the fan layout of the potential wind power station.

The invention provides a monitoring device for a marine environment. The monitoring device comprises a buoy body, multiple groups of power generation mechanisms for supplying power to the equipment onthe buoy body and a transmission mechanism for transmitting detected water quality data are installed on the buoy body, each power generation mechanism comprises a battery panel bracket and a solar battery panel, the battery panel bracket is fixedly installed at the top of the buoy body, the solar battery panel is fixedly installed on the battery panel bracket, the solar battery panel is electrically connected with a storage battery on the buoy body via a conducting wire, the transmission mechanism comprises a mounting bracket, a GPS antenna, a GPRS antenna, a CDMA antenna and an anchor light, the mounting bracket is fixedly installed at the top of the buoy body, and the GPS antenna, the GPRS antenna, the CDMA antenna and the anchor light, which are electrically connected with the storagebattery, are fixedly installed on the mounting bracket. The monitoring device for the marine environment provided by the invention has the advantages of preventing the device from overturning and reducing the impact of the sea surface wind on the monitoring device.

The invention discloses an inversion method of a sea surface wind field and an apparatus thereof. The method comprises the following steps of acquiring measurement data of a GNSS reflection signal at a specular reflection point on a sea surface and processing the measurement data so as to obtain smooth measurement data; based on a DDM power integration function expression obtained based on a double-base radar observation equation, acquiring a relation between the measurement data and a sea surface scattering coefficient, and calculating the sea surface scattering coefficient at the specular reflection point according to the relation and the smooth measurement data; based on a Z-V model, acquiring a relation between the sea surface scattering coefficient and a sea surface slope probability density function, and calculating a probability density function of a sea surface slope according to the calculated sea surface scattering coefficient and the relation between the sea surface scattering coefficient and the sea surface slope probability density function; according to the probability density function of the sea surface slope, calculating a sea surface wind speed and a wind direction. By using the method and the apparatus of the invention, a sea surface state can be rapidly and accurately inverted in real time.

The invention discloses a typhoon elliptical wind field parametric simulation method based on remote sensing image features. The invention relates to the field of satellite meteorological remote sensing information technology application. Through a remote sensing image analysis means and in combination with least square method ellipse fitting, ellipse center coordinates, ellipse long axis and short axis lengths and included angle parameters of the ellipse long axis and the x axis in the positive direction of the sea surface ellipse typhoon wind field are obtained through simulation, and the maximum wind speed space distribution range of the sea surface wind field in different directions is given. The method has the characteristics of simple operation and good real-time performance, the space-time heterogeneity distribution characteristic of the maximum wind speed radius of the sea surface wind field can be simulated, the obtained maximum wind speed point fitting ellipse can effectivelydescribe the space-time distribution range and orientation of sea surface wind field energy, and more accurate external drive can be provided for simulation of ocean dynamic processes such as storm surge and sea waves.

The invention discloses a sea surface brightness temperature imaging simulation method based on a one-dimensional synthetic aperture microwave radiometer. The method comprises the following steps of:constructing initial background field data (frequency f, sea surface temperature Ts, seawater salinity S, incident angle [Theta], sea surface wind speed W, sea surface relative wind direction phi, atmospheric water vapor content V, cloud liquid water content L) to provide data support for sea surface brightness temperature imaging simulation; calculating the brightness temperature of the scene mode at the top of the atmosphere at different incident angles with a frequency of 6.9 GHz by using a microwave radiation transmission forward model according to the observation characteristics of the multi-incident angle of the one-dimensional synthetic aperture microwave radiometer; receiving a scene brightness temperature signal by the small antenna array of the one-dimensional synthetic aperturemicrowave radiometer to generate an electrical signal, and performing pairwise complex correlation on antenna output voltages to obtain a visibility function; and reconstructing a sea surface brightness temperature image by mathematical operations such as inverse Fourier transform. The method provides technical support for remote sensing sea surface temperature of satellite-bone one-dimensional synthetic aperture microwave radiometer.

The invention relates to a sea surface wind field inversion observation method based on satellite navigation information, and the method comprises the following steps: building a local coordinate system with a specular reflection point as an original point, and determining the geometrical relationship of a GNSS satellite, the specular reflection point and a GNSS-R receiver; dividing a scattering surface in space by using an equal delay line and an equal Doppler line, and mapping the distribution of scattering power of each divided region in space to a delay-Doppler domain; establishing an ocean remote sensing model; establishing a marine remote sensing related mathematical model; and utilizing a time delay-Doppler two-dimensional correlation power model to calculate the correlation power of the GNSS-R reflection signal, so that the reflection intensity of the reflection signal on different reflection surface units is obtained. According to the method, the internal relation of sea surface wind field inversion is fully analyzed, the wind field inversion model is established, and the reflection intensity of the reflection signal on different reflection surface units is explained through the time delay-Doppler two-dimensional correlation power value, so that the accurate observation function of the sea surface wind field is realized, and the method has the characteristics of high precision, convenience in measurement and the like.