7 results about "Scatterometer" patented technology

The present application belongs to the technical field of marine remote sensing, and particularly relates to a kind of full wind speed inversion methods based on spaceborne microwave active and passive combination physical statistics network, comprising the following steps: obtaining the brightness temperature data and backscattering coefficient of microwave radiometer and scatterometer, and performing data quality control;Construct sample data set;Load physical statistics constraint deep learning inversion algorithm model for training;Physical statistics constraint deep learning inversion algorithm model includes: input layer, network layer, physical layer, output layer;Network layer is composed of residual neural network, and physical layer is composed of Log formula of microwave radiometer and Log formula of microwave scatterometer to form microwave statistical matrix P matrix, which is a nonlinear matrix, and provides physical statistics constraint for the whole model;Output the wind speed of current full sea area.The present application effectively solves the problem of lack of physical support in the process of deep learning in marine parameter inversion, and provides high-quality and reliable wind speed products suitable for full wind speed range.

This invention discloses a space-ground coordinated radiometric characteristic calibration method for spaceborne active microwave sensors in the field of radar Earth observation technology. It constructs a space-ground coordinated calibration system consisting of a radiation reference source satellite and a ground calibration processing station. The method includes: determining the orbital parameters of the radiation reference source satellite; the satellite transmitting signals to the ground station in Earth observation mode, using a known RCS target on the ground to calibrate its own antenna gain and link gain; receiving signals from the satellite to be calibrated in Earth observation mode, accurately calculating and transmitting echo signals based on the calibrated parameters; and the satellite to be calibrated calibrating its own transmit / receive link gain based on the received echo signals. This invention can be widely applied to the on-orbit radiometric calibration of active microwave sensors such as synthetic aperture radar, altimeters, and microwave scatterometers, significantly improving calibration frequency and accuracy, supporting multi-band, high-stability quantitative remote sensing tasks, and providing reliable technical support for precise observation in fields such as ocean monitoring, weather forecasting, and topographic mapping.

This invention discloses a process simulation system designed for water treatment plants, belonging to the field of process simulation technology. It addresses the problem of accurately identifying key control moments in coagulation reactions. The system scans the raw water under test using a scatterometer to acquire scattered light intensity data, calculates the scattering fluctuation coefficient, determines whether metastable phenomena exist in the raw water, and decides whether to activate the metastable analysis mechanism. Under the metastable analysis mechanism, disturbance tests are conducted, effluent turbidity data is collected, and disturbance response coefficients are calculated to pinpoint metastable candidate moments and define metastable failure intervals. Within these intervals, real-time monitoring of the dual conductivity and hydrolysis reaction data in the coagulation reaction zone generates a conductivity differential response. Combined with reaction information, the system analyzes the raw water potential recovery trend, collects raw water particle size distribution data, calculates skewness coefficients to correct the potential recovery trend, and obtains the collision efficiency. After time integration processing, the raw water is subjected to graded control to improve process stability and treatment efficiency.

The embodiment of the application provides a sea ice extraction method based on a rotating sector scatterometer, comprising: acquiring polar backscatter observation data collected by the rotating sector scatterometer, wherein the polar backscatter observation data comprises a plurality of groups of backscatter observation data obtained by performing multiple observations on a polar region by the rotating sector scatterometer; performing principal component analysis on the plurality of groups of backscatter observation data to obtain principal component rotation feature data of the backscatter observation data; and performing sea ice feature extraction based on the principal component rotation feature data to obtain distribution information of sea ice in the polar region.

This disclosure relates to the field of remote sensing and mapping technology, and provides an adaptive distributed scatterer interferometry method, apparatus, and medium for mountainous areas. The method includes: acquiring radar image data and digital elevation model (DEM) data of the target monitoring mountainous area; calculating the radar vegetation index of each pixel in the dual-polarization synthetic aperture radar (DAP) image sequence and classifying it into multiple vegetation coverage levels to obtain a vegetation coverage grading atlas; identifying statistically homogeneous pixels in each image scene under the spatial constraints of vegetation coverage levels according to the grading atlas to determine a candidate set of distributed scatterers; further, using the grading atlas, performing adaptive coherence threshold filtering on each candidate point to obtain multiple distributed scatterers; and determining the long-term surface deformation results of the mountainous area based on the multiple distributed scatterers, the DAP image sequence, and the DEM data. This embodiment effectively improves the accuracy and reliability of distributed scatterer extraction and is suitable for deformation monitoring in complex mountainous areas.

The present application belongs to the field of active microwave remote sensing and microwave scatterometer, and particularly relates to a kind of two-dimensional look-up table acquisition methods of spaceborne microwave scatterometer slice segmentation, the method comprises: obtaining the three-dimensional distribution of Doppler frequency offset with satellite platform subsatellite point latitude, azimuth and pitch;And based on the three-dimensional distribution, obtain Doppler frequency offset;Again, using the relationship between echo frequency and Doppler frequency offset of spaceborne sector-beam conical scanning microwave scatterometer, obtain the three-dimensional distribution of echo frequency of spaceborne sector-beam conical scanning microwave scatterometer with satellite platform subsatellite point latitude, azimuth and pitch;With equidistant ground slice as target, obtain the position of equidistant ground slice on the echo frequency corresponding to pulse sampling point, obtain the three-dimensional look-up table of slice segmentation;Dimension reduction optimization is carried out to three-dimensional segmentation look-up table, and two-dimensional look-up table of spaceborne sector-beam conical scanning microwave scatterometer slice segmentation is obtained.