10 results about "Microwave scattering" patented technology

This invention relates to the field of coal quality testing technology, specifically to an online method and system for detecting coal quality entering the furnace; it includes: a multimodal data acquisition step: acquiring microwave scattering parameters and surface element characteristic spectra using a microwave tomography sensor array and a surface spectrometer, respectively; a physical field inversion and modeling step: reconstructing the complex permittivity distribution map based on the scattering parameters to establish a three-dimensional physical distribution model including density and moisture; a field-spectrum coupling deduction step: using the characteristic spectra as boundary constraints, and combining them with the complex permittivity distribution map to deduce the internal chemical element distribution; and a volume-weighted quantization step: performing volume-weighted integration on the three-dimensional physical model and chemical distribution to output comprehensive coal quality parameters; this invention eliminates the detection blind spots of single technologies and significantly improves the representativeness and safety of full-section detection of coal entering the furnace.

The application discloses a sea ice density inversion method and system based on physical information guidance and a medium. The method comprises the following steps: obtaining a corresponding spatial sea ice density map by using a pre-trained sea ice density inversion model; performing feature extraction of microwave scattering maps, microwave radiation maps and meteorological element maps in multiple scales; for each scale of microwave scattering features, microwave radiation features and meteorological element features, guiding microwave radiation feature correction by using meteorological element features and microwave scattering features to realize physical information guided cross-modal feature fusion; extracting spatial information maps and decoding the fused latent feature maps step by step to obtain corresponding spatial sea ice density maps. The application aims to fully model the physical dependence relationship among radiation, scattering and environmental driving factors, realize the spatio-temporal collaboration among features, improve the ability of learning the continuity and structural properties of sea ice distribution and the physical consistency and spatial generalization ability of sea ice density inversion results.

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.

The application discloses a global average sea clutter near real-time estimation method, system, device and storage medium, including the following steps: obtaining multi-source satellite-borne radar historical backscattering coefficient data, and performing time and space matching and binning on the ERA5 wind field; an average sea clutter estimation model is established according to a geophysical model function fitting; the satellite-borne microwave scatterometer wind field is corrected in deviation and fused with a numerical weather prediction wind field, so that a high-coverage, continuous near real-time global sea surface wind field is obtained; the relative azimuth is calculated in combination with radar observation parameters and fused wind direction, and global average sea clutter data is obtained by using the model; the application improves the precision and application range of sea clutter estimation under the condition of medium and small incident angles, provides a high-quality input wind field through a multi-source wind field fusion technology, realizes rapid, stable and near real-time estimation of global average sea clutter, has high timeliness and business feasibility, and can meet the needs of near real-time sea clutter monitoring and ocean remote sensing application.

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.

The application belongs to the technical field of agricultural remote sensing, and particularly relates to a method and system for inverting total photosynthetic area index of rape, comprising: constructing MLMSTM of rape based on vector radiation transfer theory to obtain HH, VV, VH and HV total backscattering coefficients and plant layer backscattering coefficient; determining the corrected MLMSTM according to Sobol parameter sensitivity analysis; determining the microwave scattering ratio of each pixel in the Radarsat-2 image region based on spatial interpolation method according to the corrected MLMSTM; and inverting the total photosynthetic area index TPAI of rape by using the trained machine learning model based on the microwave scattering ratio of each pixel. The method and system focus on the vertical layering scattering characteristics of rape at different phenological stages, realize high-precision inversion of rape canopy parameters, and provide technical support for rape growth monitoring and yield estimation.

This invention discloses a multi-spectral intelligent control device based on programmable patterned electrodeposition, comprising at least two types of reversible metal electrodeposition units with different patterns, arranged in a pixelated array. Each reversible metal electrodeposition unit consists of an infrared high-transmittance substrate layer, a conductive thin film layer, a patterned dielectric layer, a metal ion electrolyte layer, and a counter electrode. The patterned dielectric layer has patterned grooves; when an electric field is applied, metal is deposited on the patterned grooves, thus presenting the corresponding pattern. This invention arranges the reversible metal electrodeposition units in a specific order to form a large-area pixelated array device. Each reversible metal electrodeposition unit is equivalent to a unit of an electromagnetic metasurface and can be independently controlled, realizing spatial programming and dynamic reconstruction of the target multi-spectral characteristics. This allows for real-time, dynamic, and reversible reconstruction of large-area macroscopic optical patterns, thermal radiation distributions, and microwave scattering fields.

The application discloses a lightweight breast microwave image reconstruction method and device, medium and product, and relates to the field of microwave imaging. The method comprises the following steps: collecting breast microwave scattering field data to obtain an original microwave breast image; constructing a lightweight multi-scale convergent convolution based on different groups of convolution modules; constructing a microwave image reconstruction network based on the lightweight multi-scale convergent convolution and in combination with an encoder-decoder architecture; and obtaining a reconstructed microwave breast image based on the original microwave breast image by using the microwave image reconstruction network. The application can reduce the model parameter quantity, reduce the calculation complexity, and improve the inference speed, thereby meeting the application requirements of clinical portability and light weight.

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.