Adaptive variable incidence angle ocean salinity sounding method and device
By dividing global sea areas into regions and analyzing sea state data, the incident angle is adaptively adjusted, solving the problem of the single distribution pattern of incident angle in existing technologies, and improving the accuracy and inversion effect of ocean salinity detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-02-04
- Publication Date
- 2026-04-07
AI Technical Summary
Existing integrated aperture radiometers have a single incident angle distribution pattern in ocean salinity detection, which cannot be adaptively changed according to sea conditions in global ocean areas, thus affecting the accuracy of salinity inversion.
By dividing the global ocean into regions, obtaining historical sea state data, constructing sea state vectors, determining the incident angle sequence of the two-dimensional synthetic aperture radiometer, and adaptively adjusting the incident angle to improve the detection accuracy of specific areas.
It improved the accuracy of ocean salinity detection, optimized the incident angle distribution pattern, and enhanced the accuracy and applicability of salinity inversion.
Smart Images

Figure CN117990157B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of microwave ocean remote sensing, in particular to a self-adaptive variable incidence angle ocean salinity detection method and device. BACKGROUND
[0002] Synthetic Aperture Interferometric Radiometer (SAIR) as a main means of high-precision ocean salinity detection in space has been applied in the European SMOS satellite. This kind of technical system has the advantage of multi-angle detection in the same fast view field, as shown in the figure, the incidence angle distribution of different positions in the same fast view field is different, and the incidence angle of each pixel in a certain area is regularly distributed according to the flight direction, that is, the proportion of a certain incidence angle range is certain, for example, the proportion of incidence angle 30°-50° is 60%. Although the salinity retrieval requires multi-angle, different incidence angles have different effects on the accuracy of salinity retrieval for different sea conditions (the sea surface temperature of the present application is referred to as temperature, the salinity is referred to as salt, and the wind field is referred to as wind). Therefore, it is necessary to adaptively calculate the variable incidence angle to carry out salinity detection according to the characteristics of the regional sea conditions, improve the proportion of the incidence angle in the specified range, and improve the overall salinity detection accuracy. Figure 1
[0003] In order to obtain the best salinity of global sea area, it is necessary to divide the global sea area into regions, and automatically calculate the best incidence angle range for retrieving salinity in the region according to the basic information of sea surface temperature, sea surface salinity, sea surface wind field and the like of the specific region, so as to achieve the purpose of self-adaptive variable incidence angle to improve the accuracy of ocean salinity detection. SUMMARY
[0004] Therefore, the present application provides a self-adaptive variable incidence angle ocean salinity detection method and device, which can solve the technical problems that the existing synthetic aperture radiometer has a single incidence angle distribution rule for all sea areas when carrying out ocean salinity detection, and cannot adaptively change the incidence angle according to the sea conditions of global sea area, and improve the proportion of incidence angle in the specified range. It is suitable for carrying out ocean salinity detection by a remote sensing satellite loaded with a 2-DL-band aperture synthesis microwave radiometer (LASMR).
[0005] In order to solve the above technical problems, the present application is implemented as follows.
[0006] A self-adaptive variable incidence angle ocean salinity detection method, the method comprising the following steps:
[0007] Step S1: regional division of global sea area, the numbered region is S ij wherein, 1≤i≤m, 1≤j≤n, m represents the number of latitude division, n represents the number of longitude division;
[0008] Step S2: obtain the sea state historical data of each region, the historical data includes the sea surface temperature data, sea surface salinity data and sea surface wind field data of each region, construct the first sea state vector of each region, the first sea state vector includes three dimensions of sea surface temperature, sea surface salinity and sea surface wind field; Set the classification standard of sea surface temperature, sea surface salinity and sea surface wind field, based on the classification standard, map the corresponding sea surface temperature data, sea surface salinity data and sea surface wind field data of each region to obtain the sea state vector of each region;
[0009] Step S3: based on the sea state vector of the region where the generated two-dimensional synthetic aperture radar incident angle sequence is located, determine the satellite fly over the region where the generated two-dimensional synthetic aperture radar incident angle sequence is located, the two-dimensional synthetic aperture radar incident angle sequence carried on the satellite, each region corresponds to an incident angle sequence.
[0010] Preferably, the step S1, wherein the global sea area is divided into regions according to user business requirements, and the minimum region is not less than the size of one pixel of the two-dimensional synthetic aperture radar.
[0011] Preferably, the step S2, obtaining the sea state historical data of each region, taking the average sea surface temperature, average sea surface salinity and average sea surface wind field in the historical time of each region as the sea surface temperature data, sea surface salinity data and sea surface wind field data of the corresponding region.
[0012] Preferably, the classification standard of sea surface temperature, sea surface salinity and sea surface wind field is: the sea surface temperature is divided into three levels of low, medium and high, -2℃≤SST≤12℃ is low, 12℃<SST≤26℃ is medium, 26℃<SST≤40℃ is high, SST is sea surface temperature; The sea surface salinity is divided into three levels of low, medium and high, 32psu≤SSS≤33psu is low, 33psu<SSS≤35psu is medium, 35psu<SSS≤37psu is high, SSS is sea surface salinity, psu is the unit of salinity, indicating the number of grams of dissolved substances in each kilogram of water; The sea surface wind field is divided into three levels of low, medium and high, 0m / s≤SSW≤6m / s is low, 6m / s<SSW≤14m / s is medium, 14m / s<SSW≤20m / s is high.
[0013] Preferably, step S3, determining the two-dimensional synthetic aperture radiometer incident angle sequence carried on the satellite when the satellite flies over the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated, based on the sea state vector of the region, includes:
[0014] Step S31: Establish the sea surface polarization brightness temperature T of the sea surface where the region for which the two-dimensional synthetic aperture radiometer incident angle sequence to be generated is located. B,p The model, wherein the polarization temperature is a brightness temperature determined according to the polarization characteristics of the radiation brightness temperature, is as follows:
[0015] T B,p =T B flat,p +ΔT B rough
[0016]
[0017] T B,p For the polarized brightness temperature of the sea surface, T B,p The value is determined by the brightness temperature T of calm sea surface. B flat,p and the brightness temperature ΔT of rough sea surface B rough Together they form;
[0018] Among them, the calm sea surface brightness temperature T B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The impact, denoted as The brightness temperature ΔT of the rough sea surface B rough Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle Several roughness parameters of Fresnel reflection from the sea surface were changed. The impact, denoted as Furthermore, the roughness parameters are affected by the sea surface wind field (SSW).
[0019] The radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by measuring the radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by a two-dimensional synthetic aperture radiometer mounted on a satellite.
[0020] Step S32: Radiant brightness temperature of the region based on the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated. The salinity of the region is inverted for the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated, thereby solving for the optimal solution corresponding to the model. This optimal solution is the optimal solution for the sea surface polarization brightness temperature of the sea surface in the region. Distribution set 1≤i≤m, 1≤j≤n, θmin , θ max , respectively represent the minimum value of the pointing azimuth angle of the connecting line between the satellite and the region, the minimum value of the pointing elevation angle of the connecting line between the satellite and the region, the maximum value of the pointing azimuth angle of the connecting line between the satellite and the region, and the maximum value of the pointing elevation angle of the connecting line between the satellite and the region, the pointing direction representing the region of the two-dimensional synthetic aperture radar incident angle sequence to be generated; min , θ max , obtaining a two-dimensional synthetic aperture radar incident angle sequence Г i,j (α) corresponding to the region, where α represents the included angle between the observation direction of the two-dimensional synthetic aperture radar and the normal line of the sea surface.
[0021] The adaptive variable incident angle ocean salinity detection device provided by the application comprises:
[0022] An initialization module is configured to divide a global sea area into regions, and the number of the divided regions is denoted as S ij , where 1≤i≤m and 1≤j≤n, m represents the number of latitude division parts, and n represents the number of longitude division parts.
[0023] A sea state vector generation module is configured to obtain historical sea state data of each region, the historical data comprising sea surface temperature data, sea surface salinity data and sea surface wind field data of each region, construct a first sea state vector of each region, the first sea state vector comprising three dimensions of sea surface temperature, sea surface salinity and sea surface wind field, set a grading standard of the sea surface temperature, the sea surface salinity and the sea surface wind field, and map the sea surface temperature data, the sea surface salinity data and the sea surface wind field data corresponding to each region based on the grading standard to obtain a sea state vector of each region.
[0024] An incident angle sequence determination module is configured to determine, based on the sea state vector of the region of the two-dimensional synthetic aperture radar incident angle sequence to be generated, an incident angle sequence of the two-dimensional synthetic aperture radar carried on the satellite when the satellite flies over the region of the two-dimensional synthetic aperture radar incident angle sequence to be generated, each region corresponding to an incident angle sequence.
[0025] The computer readable storage medium provided by the application stores a plurality of instructions, and the plurality of instructions are used to load and execute the method as described above by the processor.
[0026] The electronic device provided by the application comprises:
[0027] A processor is configured to execute a plurality of instructions.
[0028] a memory for storing a plurality of instructions;
[0029] The plurality of instructions are stored by the memory and loaded and executed by the processor to perform the method as described above.
[0030] The present application has the following beneficial technical effects:
[0031] (1) The present application determines the incidence angle of the synthetic aperture radiometer based on the sea state determined by the sea surface temperature, sea surface salinity and sea surface wind field, which is a self-adaptive method for determining the incidence angle, can improve the proportion of a certain incidence angle range in a specific area, and thus improve the deficiency of obtaining high-precision salinity for the specific area, thereby improving the global marine salinity detection precision.
[0032] (2) The present application uses a two-dimensional synthetic aperture radiometer, compared with the SMOS satellite launched internationally, optimizes the incidence angle distribution of the synthetic aperture radiometer, so that the incidence angle distribution of the two-dimensional synthetic aperture radiometer is the optimal angle range for salinity inversion, which can improve the sea surface salinity inversion precision.
[0033] (3) The present application can obtain the optimal incidence angle distribution for salinity inversion in a specific temperature, salinity and wind area by optimizing the incidence angle distribution in the specified temperature, salinity and wind distribution area.
[0034] (4) The present application divides the global marine area according to the temperature, salinity and wind distribution, and improves the applicability of the salinity inversion model. BRIEF DESCRIPTION OF DRAWINGS
[0035] Figure 1 is a schematic diagram of the incidence angle distribution at different positions in the same fast field of view of the prior art;
[0036] Figure 2 is a schematic diagram of the method for determining the incidence angle of the synthetic aperture radiometer for marine salinity detection provided by the present application;
[0037] Figure 3 is the incidence angle distribution of the specified pixel unit in a time period provided by the present application;
[0038] Figure 4 is another schematic diagram of the method for determining the incidence angle of the synthetic aperture radiometer for marine salinity detection provided by the present application;
[0039] Figure 5 is a schematic diagram of the device structure for determining the incidence angle of the synthetic aperture radiometer for marine salinity detection provided by the present application. DETAILED DESCRIPTION
[0040] The application will be described in detail below with reference to the accompanying drawings and embodiments.
[0041] As shown in the figure, the application proposes a self-adaptive variable incidence angle ocean salinity detection method, which comprises the following steps: Figure 2
[0042] Step S1: regional division is performed on global sea areas, and the divided regions are numbered as S ij , wherein 1≤i≤m, 1≤j≤n, m represents the number of latitude division, and n represents the number of longitude division;
[0043] Step S2: obtain the sea state historical data of each region, the historical data including the sea surface temperature data, sea surface salinity data and sea surface wind field data of each region, construct a first sea state vector of each region, the first sea state vector including three dimensions of sea surface temperature, sea surface salinity and sea surface wind field; set the grading standard of sea surface temperature, sea surface salinity and sea surface wind field, based on the grading standard, map the corresponding sea surface temperature data, sea surface salinity data and sea surface wind field data of each region to obtain the sea state vector of each region;
[0044] Step S3: based on the sea state vector of the region where the two-dimensional synthetic aperture radiometer incidence angle sequence to be generated is located, determine the two-dimensional synthetic aperture radiometer incidence angle sequence carried on the satellite when the satellite flies over the region where the two-dimensional synthetic aperture radiometer incidence angle sequence to be generated is located, each region corresponds to an incidence angle sequence.
[0045] In the application, since the remote sensing satellite is in a flight state, when it passes through any designated region of the ocean, the incidence angle observed by the satellite for the region will change with factors such as position change and beam pointing change.
[0046] The step S1, wherein the global sea area is divided into regions according to user business requirements, and the smallest region of the division is not less than the size of one pixel of the two-dimensional synthetic aperture radiometer.
[0047] The step S2, obtaining the sea state historical data of each region, taking the average sea surface temperature, average sea surface salinity and average sea surface wind field in the historical time of each region as the sea surface temperature data, sea surface salinity data and sea surface wind field data of the corresponding region.
[0048] Furthermore, the classification standards for sea surface temperature, sea surface salinity, and sea surface wind field are as follows: Sea surface temperature is divided into three levels: low, medium, and high. -2℃≤SST≤12℃ is low, 12℃<SST≤26℃ is medium, and 26℃<SST≤40℃ is high, where SST is sea surface temperature. Sea surface salinity is divided into three levels: low, medium, and high. 32psu≤SSS≤33psu is low, 33psu<SSS≤35psu is medium, and 35psu<SSS≤37psu is high, where SSS is sea surface salinity and psu is a unit of salinity, representing the number of grams of dissolved substances per kilogram of water. Sea surface wind field is divided into three levels: low, medium, and high. 0m / s≤SSW≤6m / s is low, 6m / s<SSW≤14m / s is medium, and 14m / s<SSW≤20m / s is high.
[0049] In this embodiment, sea surface temperature, sea surface salinity, and sea surface wind field are divided into three levels: high, medium, and low. The resulting sea state vector has 27 possible sorts according to the order of sea surface temperature, sea surface salinity, and sea surface wind field, namely: high high high, high high medium, high high low, high high high, high medium medium, high medium medium, high high low high, high low medium, high low low, medium high high, medium high medium, medium high low, medium medium high, medium medium medium, medium medium low, medium low high, medium low medium, medium low low, low high high, low high medium, low high low, low medium high, low medium medium, low medium low, low medium high, low medium low, low medium high, low medium low, low medium high, low medium low, low low medium, low low medium, low low low.
[0050] Step S3, which involves determining the two-dimensional synthetic aperture radiometer incident angle sequence carried on the satellite when the satellite flies over the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated, based on the sea state vector of the region, includes:
[0051] Step S31: Establish the sea surface polarization brightness temperature T of the sea surface where the region for which the two-dimensional synthetic aperture radiometer incident angle sequence to be generated is located. B,p The model, wherein the polarization temperature is a brightness temperature determined according to the polarization characteristics of the radiation brightness temperature, is as follows:
[0052] T B,p =T B flat,p +ΔT B rough
[0053]
[0054] T B,p For the polarized brightness temperature of the sea surface, T B,p The value is determined by the brightness temperature T of calm sea surface. B flat,p and the brightness temperature ΔT of rough sea surface B rough Together they form;
[0055] Among them, the calm sea surface brightness temperature T B flat,pInfluenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The impact, denoted as The brightness temperature ΔT of the rough sea surface B rough Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle Several roughness parameters of Fresnel reflection from the sea surface were changed. The impact, denoted as Furthermore, the roughness parameters are affected by the sea surface wind field (SSW). The radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by measuring the radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by a two-dimensional synthetic aperture radiometer mounted on a satellite.
[0056] In this embodiment, the calm sea surface polarization brightness temperature T B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), satellite azimuth angle (θ), and satellite elevation angle. The dielectric constant of seawater ε s Impact; ε s The calm sea surface polarization brightness temperature T is affected by sea surface temperature (SST) and sea surface salinity (SSS). B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The impact, denoted as Characterizing the polarization brightness temperature T of the calm sea surface B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The impact.
[0057] This indicates that several roughness parameters of the Fresnel reflection from the sea surface have been altered. These roughness parameters are affected by the sea surface wind field (SSW), ΔT B rough The sea surface brightness temperature variation is caused by the sea surface wind field (SSW), and is also affected by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle. The impact.
[0058] Therefore, the radiant brightness temperature of any region All are composed of sea surface temperature (SST), sea surface salinity (SSS), sea surface wind field (SSW), azimuth angle (θ), and pitch angle. It was jointly decided that satellite remote sensing can directly acquire sea surface temperature (SST), sea surface salinity (SSS), sea surface wind field (SSW), azimuth angle (θ), and elevation angle. α represents the angle between the observation direction of the two-dimensional synthetic aperture radiometer and the sea surface normal, which is composed of the azimuth angle θ and the elevation angle θ. A joint decision.
[0059] In this embodiment, when the sea surface brightness temperature corresponding to the region is V-polarized sea surface brightness temperature data... This is equal to the V-polarized brightness temperature of the sea surface corresponding to the region. When the brightness temperature of the sea surface corresponding to the region is the H-polarized brightness temperature data... Equal to the sea surface H-polarization brightness temperature of the corresponding sea surface in the region, by default. It refers to a certain polarization brightness temperature of the sea surface.
[0060] Step S32: Radiant brightness temperature of the region based on the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated. The salinity of the region is inverted for the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated, thereby solving for the optimal solution corresponding to the model. This optimal solution is the optimal solution for the sea surface polarization brightness temperature of the sea surface in the region. Distribution set 1≤i≤m, 1≤j≤n, θ min , θ max , These represent the minimum azimuth angle, the minimum elevation angle, the maximum azimuth angle, and the maximum elevation angle of the line connecting the satellite and the region, respectively. The line points to the observation direction of the region representing the area from which the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated; based on θ... min , θ max , Obtain the two-dimensional synthetic aperture radiometer incident angle sequence Γ corresponding to the region. i,j (α), where α represents the angle between the observation direction of the two-dimensional integrated aperture radiometer and the sea surface normal.
[0061] In this embodiment, the line connecting the center of the region and the centroid of the satellite represents the observation direction of the region.
[0062] In this embodiment, the brightness temperature of the two-dimensional synthetic aperture radiometer is data that can be detected by the satellite. Calm sea surface polarization brightness temperature T B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The dielectric constant of seawater ε s Impact; ε S Influenced by sea surface temperature (SST) and sea surface salinity (SSS), the final calm sea surface polarization brightness temperature (T) is... B flat,p Influenced by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle The impact, that is, simplified to
[0063] This indicates that some roughness parameters of the Fresnel reflection from the sea surface have been altered. These roughness parameters are affected by the sea surface wind field (SSW), ΔT B rough The sea surface brightness temperature variation is mainly caused by the sea surface wind field (SSW), but is also affected by sea surface temperature (SST), sea surface salinity (SSS), azimuth angle (θ), and pitch angle. The impact.
[0064] Therefore, the radiative brightness temperature of any sea area All are composed of sea surface temperature (SST), sea surface salinity (SSS), sea surface wind field (SSW), azimuth angle (θ), and pitch angle. According to joint decisions, satellite remote sensing can directly acquire sea surface temperature (SST), sea surface salinity (SSS), sea surface wind field (SSW), azimuth angle (θ), and elevation angle. α represents the angle between the observation direction of the two-dimensional synthetic aperture radiometer and the sea surface normal, which is composed of the azimuth angle θ and the elevation angle θ. Determined jointly. Based on azimuth angle θ and elevation angle. Determining α jointly is a standard technique in this field and will not be elaborated upon here.
[0065] This invention provides a specific embodiment of a method for determining the incident angle of a synthetic aperture radiometer used for ocean salinity detection.
[0066] Step S1. Divide the global sea area into regions Sij (1≤i≤6, 1≤j≤6) according to business needs, which means that the Earth's latitude is divided into 6 parts and the Earth's longitude is divided into 6 parts.
[0067] Step S2. Based on the global sea surface temperature (SST), sea surface salinity (SSS), and sea surface wind field (SSW) datasets provided by ECMWF, it can be seen that -2℃≤SST≤40℃, 32psu≤SSS≤37psu (psu, a unit of salinity, representing the number of grams of dissolved substances in one kilogram of water), and 0m / s≤SSW≤20m / s. SST is divided into high, medium, and low, where low = {-2℃≤SST≤12℃}, medium = {12℃<SST≤26℃}, and high = {26℃<SST≤40℃}; SSS is divided into high, medium, and low, where low = {32psu≤SSS≤33psu}, medium = {33psu<SSS≤35psu}, and high = {35psu<SSS≤37psu}; SSW is divided into high, medium, and low, where low = {0m / s≤SSW≤6m / s}, medium = {6m / s<SSW≤14m / s}, and high = {14m / s<SSW≤20m / s}.
[0068] Step S3. Based on the global sea surface temperature (SST) dataset, sea surface salinity (SSS) dataset, and sea surface wind field (SSW) data provided by ECMWF, determine the SST, SSS, and SSW of the Sij (1≤i≤6, 1≤j≤6) region. Based on the division criteria in Step 2, determine the distribution dataset of Sij (1≤i≤6, 1≤j≤6) for each region: S11 = {high, medium, low}, S12 = {high, medium, medium}, ..., S66 = {low, medium, medium}.
[0069] Step S4. Based on the distribution values of SST, SSS, and SSW for each region Sij (1≤i≤6, 1≤j≤6) in Step 3, the optimal incident angle Γ for each region Sij (1≤i≤6, 1≤j≤6) is calculated through simulation analysis. i,j (α) set, for example, the set of optimal incident angles Γ of S35. 3,5 (α) In the range of 30° to 50°, the proportion of 30° to 50° must reach more than 85%.
[0070] like Figure 5 As shown, the present invention also provides an adaptive variable incident angle ocean salinity detection device, the device comprising:
[0071] Initialization module: Configured to divide the global sea area into regions, and the divided regions are numbered as S. ij Where 1≤i≤m, 1≤j≤n, m represents the number of latitude divisions of the Earth, and n represents the number of longitude divisions of the Earth;
[0072] The sea state vector generation module is configured to acquire historical sea state data for each region, including sea surface temperature, salinity, and wind field data. It then constructs a first sea state vector for each region, comprising three dimensions: sea surface temperature, salinity, and wind field. Furthermore, it sets classification standards for sea surface temperature, salinity, and wind field, and maps these data to obtain the sea state vector for each region based on these standards.
[0073] Incident angle sequence determination module: configured to determine the incident angle sequence of the two-dimensional synthetic aperture radiometer carried on the satellite when the satellite flies over the region where the incident angle sequence of the two-dimensional synthetic aperture radiometer is to be generated, based on the sea state vector of the region. Each region corresponds to one incident angle sequence.
[0074] The specific embodiments described above only illustrate the design principles of the present invention. The shapes and names of the components in this description may differ and are not limited. Therefore, those skilled in the art can modify or make equivalent substitutions to the technical solutions described in the foregoing embodiments; and these modifications and substitutions do not depart from the inventive spirit and technical solutions of the present invention, and should all fall within the protection scope of the present invention.
Claims
1. An adaptive variable incident angle ocean salinity detection method, characterized in that, include: Step S1: Divide the global ocean area into regions and record the region numbers as follows: S ij Where 1≤i≤m, 1≤j≤n, m represents the number of latitude divisions of the Earth, and n represents the number of longitude divisions of the Earth; Step S2: Obtain historical sea state data for each region. The historical data includes sea surface temperature data, sea surface salinity data, and sea surface wind field data for each region. Construct a first sea state vector for each region. The first sea state vector includes three dimensions: sea surface temperature, sea surface salinity, and sea surface wind field. Set classification standards for sea surface temperature, sea surface salinity, and sea surface wind field. Based on the classification standards, map the corresponding sea surface temperature data, sea surface salinity data, and sea surface wind field data for each region to obtain the sea state vector for each region. Step S3: Based on the sea state vector of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated, determine the two-dimensional synthetic aperture radiometer incident angle sequence carried on the satellite when the satellite flies over the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated. Each region corresponds to one incident angle sequence, including: Step S31: Establish the sea surface polarization brightness temperature of the sea surface in the region where the two-dimensional synthetic aperture radiometer incident angle sequence to be generated is located. The model, wherein the polarization brightness temperature is determined according to the polarization characteristics of the radiation brightness temperature, is as follows: For sea surface polarization brightness temperature, The value is determined by the brightness temperature of calm sea surfaces. and the bright temperature of the rough sea surface Together they form; The radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by measuring the radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by a two-dimensional synthetic aperture radiometer mounted on a satellite. Step S32: Radiant brightness temperature of the region based on the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated. The salinity of the region is inverted for the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated, thereby solving for the optimal solution corresponding to the model. This optimal solution is the optimal solution for the sea surface polarization brightness temperature of the sea surface in the region. Distribution set , 1≤i≤m, 1≤j≤n, , , These represent the minimum azimuth angle, the minimum elevation angle, the maximum azimuth angle, and the maximum elevation angle of the line connecting the satellite and the region, respectively. The line points to the observation direction of the region representing the area from which the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated. , , Obtain the two-dimensional synthetic aperture radiometer incident angle sequence corresponding to the region. α represents the angle between the observation direction of the two-dimensional integrated aperture radiometer and the sea surface normal.
2. The method as described in claim 1, characterized in that, In step S1, the global sea area is divided into regions according to user business needs, and the smallest region is not smaller than the size of one pixel of a two-dimensional integrated aperture radiometer.
3. The method as described in claim 1, characterized in that, In step S2, historical sea state data for each region is obtained, and the average sea surface temperature, average sea surface salinity, and average sea surface wind field over the historical period for each region are used as the corresponding sea surface temperature data, sea surface salinity data, and sea surface wind field data for that region.
4. The method as described in claim 2, characterized in that, The classification standards for sea surface temperature, sea surface salinity, and sea surface wind field are as follows: Sea surface temperature is divided into three levels: low, medium, and high. -2℃≤SST≤12℃ is low, 12℃<SST≤26℃ is medium, and 26℃<SST≤40℃ is high, where SST is sea surface temperature. Sea surface salinity is also divided into three levels: low, medium, and high. 32psu≤SSS≤33psu is low, 33psu<SSS≤35psu is medium, and 35psu<SSS≤37psu is high, where SSS is sea surface salinity and psu is a unit of salinity, representing the number of grams of dissolved substances per kilogram of water. Sea surface wind field is also divided into three levels: low, medium, and high. 0m / s≤SSW≤6m / s is low, 6m / s<SSW≤14m / s is medium, and 14m / s<SSW≤20m / s is high.
5. The method according to any one of claims 1-4, characterized in that, In step S31, wherein... The calm sea surface brightness temperature Affected by sea surface temperature (SST), sea surface salinity (SSS), and azimuth angle Pitch angle The impact, denoted as The rough sea surface brightness temperature Affected by sea surface temperature (SST), sea surface salinity (SSS), and azimuth angle Pitch angle Several roughness parameters of Fresnel reflection on the sea surface were changed. The impact, denoted as Furthermore, the roughness parameter is affected by the sea surface wind field (SSW).
6. An adaptive variable incident angle ocean salinity detection device, characterized in that, include: Initialization module: Configured to divide global sea areas into regions, and record the region numbers as follows. S ij Where 1≤i≤m, 1≤j≤n, m represents the number of latitude divisions of the Earth, and n represents the number of longitude divisions of the Earth; The sea state vector generation module is configured to acquire historical sea state data for each region, including sea surface temperature, salinity, and wind field data. It then constructs a first sea state vector for each region, comprising three dimensions: sea surface temperature, salinity, and wind field. Furthermore, it sets classification standards for sea surface temperature, salinity, and wind field, and maps these data to obtain the sea state vector for each region based on these standards. Incident Angle Sequence Determination Module: Configured to determine the incident angle sequence of the two-dimensional synthetic aperture radiometer (SAM) on the satellite when the satellite flies over the region where the SAM incident angle sequence is to be generated, based on the sea state vector of the region. Each region corresponds to one incident angle sequence, including: First submodule: Configured to establish the sea surface polarization brightness temperature of the sea surface in the region where the two-dimensional synthetic aperture radiometer incident angle sequence to be generated is located. The model, wherein the polarization brightness temperature is determined according to the polarization characteristics of the radiation brightness temperature, is as follows: For sea surface polarization brightness temperature, The value is determined by the brightness temperature of calm sea surfaces. and the bright temperature of the rough sea surface Together they form; The radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by measuring the radiation brightness temperature of the region where the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated is obtained by a two-dimensional synthetic aperture radiometer mounted on a satellite. The second submodule is configured to be based on the radiation brightness temperature of the region from which the two-dimensional synthetic aperture radiometer incident angle sequence to be generated is obtained. The salinity of the region is inverted for the incident angle sequence of the two-dimensional synthetic aperture radiometer to be generated, thereby solving for the optimal solution corresponding to the model. This optimal solution is the optimal solution for the sea surface polarization brightness temperature of the sea surface in the region. Distribution set , 1≤i≤m, 1≤j≤n, , , These represent the minimum azimuth angle, the minimum elevation angle, the maximum azimuth angle, and the maximum elevation angle of the line connecting the satellite and the region, respectively. The line points to the observation direction of the region representing the area from which the two-dimensional synthetic aperture radiometer incident angle sequence is to be generated. , , Obtain the two-dimensional synthetic aperture radiometer incident angle sequence corresponding to the region. α represents the angle between the observation direction of the two-dimensional integrated aperture radiometer and the sea surface normal.
7. A computer-readable storage medium storing a plurality of instructions; the plurality of instructions being loaded by a processor and executing the method as claimed in any one of claims 1-5.
8. An electronic device, characterized in that, The electronic device includes: A processor is used to execute multiple instructions; Memory, used to store multiple instructions; The plurality of instructions are to be stored in the memory and loaded by the processor and executed as described in any one of claims 1-5.
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