63 results about "Satellite radar" patented technology

A multiobjective management system for saturated traffic road networks comprising: green wave coordination of locally adaptive traffic control units, traffic movement optimization and live traffic route guidance. Current traffic congestion measurements on intersections are generated from local traffic cameras and remote air-borne conventional cameras and thermal sensing imaging cameras or satellite radar such as SAR/ISAR using optical image brightness analysis. At the first stage of traffic optimization, individual local intersection green times are computed based on current traffic congestion level. At the second stage optimization, the central traffic server uses a multiobjective approach to coordinate the current locally-optimized green times of the first stage and create input constraints for green-way coordination of plurality of traffic lights. The server updates dynamically current cycle start and green times on all network-connected traffic light controllers and also broadcasts recommended travel times, green times and green waves to all on-line client vehicle navigation units. Traffic server and individual client guidance units utilize novel time-dependent modifications of an A*-type algorithm to update current travel and recommended travel times and to execute fastest route searches.

The invention discloses a method and a device for monitoring surface deformation and data processing equipment. The method comprises the following steps: obtaining satellite radar images of a target area; obtaining pixels of the satellite radar images of the target area; obtaining an interferogram of the target area by applying complex operation to the pixels; and obtaining the surface deformation data of the interferogram. According to the invention, the interferogram, which is obtained from the pixel data of the satellite radar image data sent by the satellite, contains data information representing surface deformation and other data information, and the data information representing surface deformation can be obtained by filtering other information, so as to quickly and accurately detect the sedimentation effect of a mining area.

The invention discloses a satellite radar inversion fusion method based on NRIET machine learning. The method comprises a training phase and an inversion phase. The training phase includes satellite data and processing: subjecting the disc projection data of four waveband including B08, B10, B13 and B15 of a sunflower No. 8 geostationary satellite to projection conversion and interpolating the same to a spatial grid point of 0.02*0.02 degree; lightning data and processing; radar data and radar data networking; land use type data and processing; and model training. The inversion phase includes:data preprocessing: subjecting the sunflower No. 8 geostationary satellite data obtained by real-time observation and the lightning data to the same processing as the training phase, the land use type data using the data processed in the training phase; the radar data networking: subjecting the radar-base data observed in real time to networking according to the networking steps in the training phase to calculate the combined emissivity; radar echo inversion; and satellite radar data fusion.

The invention provides an SAR satellite radar echo simulation method and system and a medium. The method is characterized by, according to attitude information transmitted by a satellite in real time,determining current antenna pointing of the satellite; obtaining satellite position, speed and acceleration information by searching a PVT table, and carrying out interpolation calculation to obtainthe position of the satellite at the current time; calculating the distance between the satellite and a ground simulation target and due gain of a current target echo; establishing an echo signal mathematical model of a space-borne SAR point target; and through superposition of target echo models of a plurality of points, generating an echo signal of a space-borne SAR scene, and finally, obtainingSAR satellite echo signal data. The method improves truthfulness of SAR echo simulation; and through an SAR scene generation method based on multipoint target superposition, different types of scenescan be generated more quickly.

The invention relates to a remote sensing classifying method for sea ice types. Polar region sea ice are sorted by adopting satellite radar height gauge Cryosat-2 data, so that large-scale sea ice classification based on novel means is implemented. The method includes steps of acquiring longitude and latitude coordinates of measurement points and corresponding radar echo waveforms from the heightgauge Cryosat-2 data and extracting related features of echo waveforms; downloading AARI sea ice type data and extracting sea ice type information at the corresponding measurement points; performing geographic matching on the above extracted data information and converting the data information to point data with longitude and latitude coordinates through MATLAB programming; taking the acquired waveform features of the points and the corresponding sea ice types as training data and training by utilizing a random forest classifier, performing sea ice classification on to-be-classified data; performing treatment including projection conversion, grid transformation and the like in ArcGIS on data subjected to classification and acquiring a sea ice type data set having a spatial resolution of 25km.

The invention provides a high-bearing and low-friction suspension type antenna unloading device. The high-bearing and low-friction suspension type antenna unloading device comprises long air flotationguide rails, short air flotation guide rails, an air supply and distribution system, a double-suspension-bar suspension assembly and a bearing truss. The long air flotation guide rails are arranged on the bearing truss and driven by the air supply and distribution system to move relative to the bearing truss. The two ends of each short air flotation guide rail are arranged on the two corresponding long air flotation guide rails correspondingly, and the short air flotation guide rails are driven by the air supply and distribution system to move relative to the long air flotation guide rails. The double-suspension-bar suspension assembly is connected with the two ends of each short air flotation guide rail in a sliding mode, driven by the air supply and distribution system to move relativeto the short air flotation guide rails and used for achieving suspension of load antennas. By the adoption of the high-bearing and low-friction suspension type antenna unloading device, the long air flotation guide rails and the short air flotation guide rails are driven by the air supply and distribution system, so that linear movement of the double-suspension-bar suspension assembly in the orthogonal direction of the long guide rails is achieved. The double-suspension-bar suspension assembly is connected with satellite radar antennas, so that gravity unloading of the satellite radar antennasis achieved.

The invention relates to an absolute calibration method for a satellite radar altimeter without a special calibration field and belongs to the technical field of calibration of satellite altimeters. According to the method, an absolute deviation of the satellite radar altimeter can be determined through processing tidal observation data and satellite altimetry data of a satisfactory oceanographic station, adding essential correction entries such as a geoid model, carrying out height datum unification, altimetry data space position interpolation and tidal observation data time interpolation, and finally, carrying out difference comparison on sea surface height of tidal observation and sea surface height of the satellite radar altimeter. Compared with the prior art, the method has the advantages that the special calibration field is not required, the existing oceanographic stations can have calibration capability by using existing business observation data of oceanographic stations of coasts or oceanic islands of our country and a regional accurate geoid, and thus, absolute measured deviations of the satellite altimeters at home and abroad can be acquired.

The invention relates to the technical field of severe convection weather early warning, in particular to a deep learning-based stationary orbit meteorological satellite radar reflectivity factor inversion method. The method comprises the following steps: selecting a sensitive channel of a geostationary orbit meteorological satellite imager according to a random forest method, wherein the sensitive channel is a channel with strong correlation with a radar reflectivity factor; and receiving sensitive channel data downloaded by the geostationary orbit meteorological satellite imager, and inputting the sensitive channel data into the pre-established and trained radar reflectivity factor inversion model to obtain an inversion result. According to the method, basic detection and diagnosis data are provided for disastrous weather in a radar uncovered area, and the beneficial effects of a severe convection system incompletely covered by radar data and typhoon cyclone strength distribution can be intuitively understood; therefore, the time interval can be shortened, and monitoring of a convection system which develops rapidly is facilitated; besides, the method has higher nonlinear reconstruction capability and higher inversion precision.

The invention discloses a sea ice type remote sensing classification method based on a convolution neural network, and belongs to the field of remote sensing geoscience application technology. The method uses satellite radar altimeter data to classify sea ice (divided into multi-year ice, one-year ice and open water). The steps include obtaining longitude and latitude coordinates of measurement points from altimeter data and radar echo waveform; downloading the sea ice type data and extracting the sea ice type information at the corresponding measurement point. The extracted data information is spatially matched and converted into vector point data with longitude and latitude coordinates. The radar echo waveform and the corresponding sea ice type are used as training data to train the convolution neural network, and the radar echo waveform to be classified is used to identify the sea ice type. After classification, the sea ice types are marked on the vector data. The tagged vector dataare processed by projection transformation, raster transformation and spatial resampling to obtain the sea ice type of the whole study area.

The embodiment of the invention provides a correction method for the sea wave significant wave height of a satellite radar altimeter and a related device, and relates to the field of ocean detection.The method comprises the following steps: acquiring satellite radar altimeter data, wherein the satellite radar altimeter data comprises sea wave significant wave height, a backscattering coefficientand a backscattering coefficient standard deviation; and correcting the satellite radar altimeter data by using a pre-trained radar altimeter data correction model to obtain corrected sea wave significant wave height, wherein the radar altimeter data correction model is obtained by training based on the historical sea wave significant wave height, the historical backscattering coefficient, the historical backscattering coefficient standard deviation and the historical buoy observation sea wave significant wave height. The embodiment of the invention has the beneficial effects that the data ofthe satellite radar altimeter can be corrected, and the precision of the sea wave significant wave height in the data of the satellite radar altimeter is improved, so that the application value of thedata of the satellite radar altimeter is effectively improved.

The invention discloses a heterogeneous distributed detection information target identification optimization method based on threat assessment, which is applied to an attack and defense countermeasuresystem simulation system. The method is characterized in that a heterogeneous distributed sensor network is formed based on signal-level semi-physical systems such as multiple satellites and multipleradars, the property of an attacking target is evaluated to form a threat sequence, and a ground command control system schedules the satellites and the radars to preferentially track and identify ballistic missile targets with high threat values according to the threat values in the threat sequence, and finally an interception or striking sequence is determined according to a target identification result. According to the method, redundant and complementary information fusion is carried out on collected detection information, target and environment information is collected and processed to agreater extent, accuracy and reliability of battlefield target identification are improved, and therefore the method is of great significance in subsequent situation evaluation, threat estimation andinterception strategy formulation, and the winning probability in confrontation simulation is greatly improved.

The invention provides an anisotropic sea surface radar back scattering simulation method and system. The method comprises the steps of: observing a data sample according to a plurality of satellite radars, carrying out fitting calculation on parameters in a to-be-configured anisotropic sea surface radar back scattering model which is established on the basis of a small slope approximation method,so as to obtain a configured anisotropic sea surface radar back scattering model, in the model, expressing asymmetric influences, on radar back scattering coefficients, of along wind and dead wind through a deflection function, and expressing autocorrelation of a sea surface height by adoption of an index-like type function; and obtaining data of a to-be-simulated field, and calculating and outputting a target radar back scattering coefficient corresponding to the data of the to-be-simulated scene according to the configured anisotropic sea surface radar back scattering model. According to the method and system, the characteristics of anisotropic sea surfaces can be truly reflected, and the calculation precision and calculation efficiency are both reasonably considered, so that the methodand system have important application value in the aspects of satellite-borne radar parameter design, sea surface wind field inversion and the like.

The invention provides a circularly polarized antenna. The antenna comprises an SMA connector, an upper dielectric substrate and a lower dielectric substrate, wherein the upper dielectric substrate and the lower dielectric substrate are arranged in a stacked manner; a parasitic patch is arranged on the lower surface of the upper dielectric substrate; a radiation patch and a Wilkinson power dividerfeed network are arranged on the upper surface of the lower dielectric substrate; a grounding plate is arranged on the lower surface of the lower dielectric substrate; the shunt port of the Wilkinsonpower divider feed network is connected with the radiation patch; the combination port of the Wilkinson power divider feed network is connected with the SMA connector so as to realize side feed, andtherefore, circularly polarized wave radiation is achieved; and the upper dielectric substrate partially projects and reflects radiation waves, so that waves on the outer side of the upper dielectricsubstrate are superposed in an in-phase manner. According to the circularly polarized antenna of the invention, the laminated structure with the additional parasitic patch is adopted, so that the radiation efficiency of the antenna is improved, and the antenna gain is improved; the antenna is simple in structure, achieves a circular polarization radiation mode, is low in profile, is easy to form an array, and can be widely used in communication systems such as satellites and radars.

The invention provides a low-power-consumption small satellite radar searching and tracking method for a space target. A C wave band is selected as a radar working frequency band. The phased array radar is used for firstly searching an airspace target, distance information of the target is obtained through distance compression, short-time Fourier transform and constant false alarm rate detection, and then angle measurement is carried out on the target by using sum and difference beams. And when the distance and angle information of the target is obtained, the target is tracked. Based on the design of the miniaturized phased array radar system, a signal processing method for target searching and tracking, and distance measurement and angle measurement error analysis, it is obtained that the miniaturized phased array radar can search a 40-degree * 40-degree three-dimensional space target within the range of 25 km, the distance measurement precision of 0.4 m and the angle measurement precision of 0.03 degree are achieved, and therefore, the large-range searching and tracking application requirements of the space target are met.

The invention provides a method for accurately acquiring beam pointing of a satellite radar antenna, comprising the following contents: (1) a satellite is equipped with a microwave transmitting antenna, a laser emitter and a star sensor, wherein the transmitting antenna and the laser emitter have a common basis reference, and the transmitting antenna is located in front of a satellite radar antenna and directed to a radar antenna; (2) the transmitting antenna transmits microwaves to the radar antenna, the radar antenna receives and acquires the direction of the microwave beam in the transmitting antenna coordinate system, and the inversion obtains the radar antenna in the transmitting antenna coordinate system. The beam is pointed at the time of transmitting the microwave; (3) at the sametime (2) the laser emitter emits laser light into the star sensor, and the star sensor acquires the beam pointing and the position of the laser emitter in the star sensor coordinate system. The invention directly converts the microwave beam pointing information into the satellite star sensor coordinate system through the on-board optical reference and the microwave electrical reference conversion,and accurately acquires the beam in-orbit pointing information.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) rapid processing method, namely GHR-InSAR, suitable for deformation geological disaster identification, and belongs to the crossing field of satellite radar measurement and geological disaster investigation. Firstly, all SAR data are selected to carry out Cn2 combination to calculate a space-time baseline; secondly, DInSAR calculation and phase unwrapping are carried out on SAR data pairs conforming to the space-time baseline criterion, and terrain horizon phases are removed; counting the relationship between the elevation and advection atmospheric phase, establishing an advection atmospheric error model, establishing a turbulence atmospheric model by using spatial filtering, and removing advection and turbulence atmospheric errors according to the two models; and finally, solving a time weighted average value of the multi-period deformation phase with the error removed, offsetting a random error phase, performing superposition enhancement on the deformation phase, and making up a blank area of a local non-interference result of an interferogram in a part of periods. The obtained interference result highlights high-frequency deformation ground disaster information, and the drawing is complete, smooth and small in error, thereby facilitating the later ground disaster recognition.

The invention relates to the technical field of power transmission lines, and provides a ground disaster monitoring processing method and device of a power transmission line, an early warning system and equipment. According to the invention, the ground disaster monitoring processing efficiency of the power transmission line can be improved. The method comprises the following steps: acquiring remote sensing satellite data of geological disasters of a region where a power transmission line is located to obtain a geologic disaster body deformation time sequence data set of the region, acquiring satellite radar data of the region to obtain spatial distribution information of monitoring points of the region, and performing measuring at observation points of the region to obtain Beidou measurement data; and inputting the geologic hazard body deformation time sequence data set, the spatial distribution information and the Beidou measurement data into a numerical analysis model to carry out simulation analysis on the deformation process of the geologic hazard body of the area where the power transmission line is located, thereby obtaining geologic hazard monitoring information of the areawhere the power transmission line is located.

The invention discloses a high-power variable-dip-angle continuous section node array antenna, and mainly solves the problem that the existing similar antennas do not have high-power performance. The antenna comprises a power divider (1), a lower-layer metal feed base plate (2) and an upper-layer metal disc (3), wherein the power divider is located under the circle center position of the lower-layer metal feed base plate and the circle center position of the upper-layer metal disc, and the output end of the power divider is connected with a plurality of bias parabolic reflection boxes (4) to form an antenna feed link; The lower-layer metal feed base plate is split into a plurality of sub-arrays along the propagation direction to feed respectively, the wide side of each sub-array has at least 10 wavelengths, and the narrow side of each sub-array has no more than 2 wavelengths; and a rotary joint (5) is arranged between the upper-layer metal disc and the lower-layer metal feed base plate so as to realize relative rotation of the upper-layer metal disc and the lower-layer metal feed base plate. On the basis of ensuring continuous scanning of the variable-dip-angle continuous section node array antenna, high-power performance is achieved, the operating distance is increased, and the antenna can be used for high-power and long-distance communication of satellites and radars.

The invention discloses an airport FOD monitoring method, equipment, a storage medium and a device. The method comprises: determining a first preprocessing result and a second preprocessing result for first airport runway image information acquired by an airport monitoring radar and second airport runway image information acquired by a satellite radar according to a preset neural network model; according to the first preprocessing result, the second preprocessing result and a preset obstacle model, determining position information of the to-be-identified obstacle and a danger level of the to-be-identified obstacle; and generating an FOD monitoring result according to the position information of the to-be-identified obstacle and the danger level of the to-be-identified obstacle. The image information is preprocessed according to the preset neural network model, and the position information and the danger level of the to-be-identified obstacle are determined according to the preset obstacle model, so that compared with manual patrol in the prior art, the invention is advantageous in that the FOD monitoring efficiency is improved, and the safety of airport personnel is ensured.