79 results about "Polar orbit" patented technology

The invention relates to a satellite network reliable routing method on the basis of virtual nodes, which is applied in single-layer routing protocols under similar polar orbit constellation models and is mainly used to solve the complexity problem that a satellite node obtains routing information. The method comprises: marking a satellite by an address of a ground logic area which is covered by the satellite, namely, being endowed with a specific role, knowing the communication conditions of surrounding virtual nodes through sending a link probe packet, generating a route updating information packet under the virtual nodes, setting flooding hop number as N, then, sending to link interfaces which satisfy the demands, receiving satellite virtual nodes of the route updating information packet, correcting parameters in the route updating information packet, extracting reached hop number J of information of each route prefix of the route updating information packet, and obtaining the theoretical shortest path length L from the satellite virtual nodes to the target ground logic area through a computational method of the ideal shortest path length, wherein the routing method shields the dynamictopology characteristics of internet, improves the routing astringency, and lowers the time delay of data packet transfer.

The invention discloses a comprehensive application method for integrating forest fire danger forecasting and ground fire point monitoring. The comprehensive application method for integrating the forest fire danger forecasting and the ground fire point monitoring comprises the steps that a forest fire danger class forecasting model is established; forest fire weather indexes are obtained by calculating; the forest fire weather index are divided to obtain forest fire danger classes; a satellite receiving system is adopted to receive polar orbit satellite data and pre-processes the polar orbit satellite data; on the basis of an MODIS fire disaster algorithm, a multiband brightness temperature value and a multiband reflectance value of the MODIS data are used for identifying an image; on the basis of a GIS technique, a forest fire danger class forecasting result and a ground fire point monitoring result are superimposed on an electrified wire netting output line and device and display a range of influence of a fire scene which can be intuitive analyzed. The comprehensive application method for integrating forest fire danger forecasting and ground fire point monitoring combines the forest fire danger class forecasting result and the ground fire point monitoring result with the electrified wire netting output line and device, the disposition efficiency of a forest fire accident is improved, and the monitoring range is wide.

The invention discloses a method for estimating and compensating a coupling torque of an aerial remote sensing inertially stabilized platform. The method comprises the steps of: establishing a triaxial inertially stabilized platform dynamical model, estimating the coupling torque between a base and a framework according to information detected in real time by a POS (Polar Orbit Satellite), a roll/pitch gyroscope and an azimuth coded disc, then calculating a required torque motor current value for offsetting the coupling torque, and compensating the current value into a current given input value of a current loop, thus enabling a motor to output a torque which is equal to the coupling torque in magnitude and opposite in direction, compensating the coupling torque disturbance of the platform and improving the stability precision of the platform. By virtue of the method, the coupling torque is estimated and compensated in real time and the stability precision is improved; and the method is applicable to the aerial remote sensing inertially stabilized platform with the coupling torque between the base and the framework.

The present invention relates to the quantitative remote sensing data processing technology, and discloses space-time integrated fusion method of remote sensing land surface temperature data. The method comprises first pre-processing the remote sensing land surface temperature data, then solving land surface temperature diurnal change model parameters by using multidate temperature data and corresponding time, thus to realize space seamlessness, screening similar picture elements window by window on polar orbit satellite land surface temperature image data, and in combination with weight factors such as time difference, scale difference, similarity difference and Euclidean distance composed by an multidate motionless satellite and the above model, commonly establishing a space-time integrated fusion model and solving a high temporal-spatial resolution land surface temperature dataset for generating space seamlessness. According to the method provided by the present invention, space-time complementary information of land surface temperature data of the polar orbit satellite and the multidate motionless satellite and diurnal change rules of motionless satellite land surface temperature are fully utilized, and no auxiliary data is required, such that the method is easy to realize, high in practical value and applicable to remote sensing land surface temperature data operational running with seamless space and time.

A method for avoiding co-channel interference of a polar orbit constellation by using phased array beam reconstruction, including: calculating an average coverage multiplicity at different latitudes;determining a minimum average coverage multiplicity that ensures continuous coverage conditions; according to a polar orbit constellation operation law and a satellite beam strategy, calculating a maximum average coverage multiplicity of a satellite on which overlapping of same frequency beams does not occur; according to a latitude range in which the satellite is operating, determining a ground coverage beam used by the satellite in different latitude ranges; and according to the determined ground coverage beam used by the satellite in different beam ranges, generating a control strategy thatis on the ground coverage beam and that is performed by a phased array antenna during satellite operation, and automatically performing, by the polar orbit constellation, beam control of the phased array antenna according to a latitude of a sub-satellite point of the satellite and in accordance with the control strategy that is on the ground coverage beam and that is performed by the phased arrayantenna, so that overlapping of the same frequency beams does not occur in a high latitude area under the condition of ensuring continuous coverage, thereby avoiding the co-channel interference between the same frequency beams.

The invention relates to a processing method for detecting clouds on sea by polar orbit meteorological satellite visible and infrared radiometer (VIRR), which belongs to the field of meteorological remote sensing technology. According to the processing method, firstly first-grade observation data of the polar orbit meteorological satellite visible and infrared radiometer (VIRR) after positioning and scaling and corresponding sea-and-land template information are identified, thereby obtaining sea observation data; for sea image elements, information such as split window brightness temperature, brightness temperature difference, satellite zenith angle and sea temperature regression coefficient is used for performing sea surface temperature inversion; according to the characteristic of the VIRR instrument, statistical analysis is performed based on a matching data set of a long time sequence, and a temperature threshold is set; when the observed brightness temperature and the inversed sea temperature or the inversed sea temperature and the climatic sea temperature of the sea image element exceed a preset threshold, a fact that the sea image element is the image element with a cloud is determined. Compared with the prior art, the temperature threshold is set by means of the clinic change rule of the sea surface temperature and long-time sequence statistical information of the satellite detecting instrument VIRR; quantitative calculation or judgment for cloudy or sunny is performed on a target; and accuracy for detecting the clouds on the sea is improved.

The invention discloses a link redistribution method for polar orbit satellite network snapshots. The link redistribution method includes the steps of: S1, selecting to trigger a link redistribution event, wherein the selection is performed based on a link disconnection event or a link establishment event; S2, selecting based on the link disconnection event: entering a different link redistribution sub-process according to the number of satellite rows in a non-polar area and different parity of the sequence number of a satellite orbit where a satellite which just exits the polar area is located; S3, selecting based on the link establishment event: S301, when the quotient of duplation of the latitude of the polar area and the phase angle of the satellites in the adjacent orbits is an integer, entering the different link redistribution sub-process according to the number of the satellite rows in the non-polar area and different parity of the sequence number of the satellite orbit where the satellite which just exits the polar area is located; S302, when the quotient is not an integer, also entering the different link redistribution sub-process. According to the link redistribution method for the polar orbit satellite network snapshots, the satellite routing stability is improved, the use ratio of the link between the satellites is also improved, and the average end-to-end delay is reduced.

The invention provides a spacecraft tail area ion atmosphere ground-based simulation method. According to the method, combination of a specific plasma source and an ion accelerating grid mesh is utilized, and therefore a polar-orbiting ion environment required by a charging experiment of a ground polar-orbiting satellite tail area can be effectively generated; the advantage of the simple structure is achieved. The method comprises the steps that on the basis of the principle of conservation of energy, a bias voltage of the ion accelerating grid mesh and a bias voltage of a main anode grid mesh in the plasma source are designed; on the basis of a Charlie Langmuir equation, the distance d between the main anode grid mesh in the plasma source and the ion accelerating grid mesh is designed; in the experiment process, the plasma source is controlled to generate ions; a power source of the ion accelerating grid mesh is switched on to form a parallel electric field, and the ions generated by the plasma source are guided out under action of the parallel electric field to form an ion beam flow; a Faraday cup is started, and the strength of the ion beam flow is measured; when the strength reaches the requirement, the experiment in the tail area ion environment is started.

A positioning system for a geostationary satellite according to the present invention comprises a plurality of outer orbit satellites revolving around the earth in equatorial orbit and polar orbit having higher altitude than that of the geostationary satellite; and at least one control station performing orbit determination using tracking data for the outer orbit satellites, and then transmitting consequent orbit data to the outer orbit satellites. The outer orbit satellites transmit to the geostationary satellite their own navigation data, clock data and correction data generated using the orbit data received from the control station. The geostationary satellite calculates its own position using the navigation data, the clock data and the correction data, and performs position control and attitude control autonomously with onboard sensors and actuators.

The invention discloses a thermal-infrared band data automatic disposal method of multi-source polar orbit meteorological satellite with radiating assimilation subcourse and geometrical assimilation subcourse, which is characterized by the following: scaling the primitive data by radiation then correcting through satellite zenith angle; finishing radiation assimilation after correcting corresponding channel difference; accomplishing geometrical assimilation through distinguishability normalization, standard space projection transformation and image translation; finishing self-judgment of the same name pixel point through relative matching; reaching direct comparison of different satellite detecting radiation values without artificial operation; improving the precision of geometrical position for multi-source data; paving the base of data disposal and appliance of polar orbit satellite remote sensing data.

The invention discloses a heaven and earth integrated information-based PM2.5 concentration monitoring method. The heaven and earth integrated information-based PM2.5 concentration monitoring method comprises the following steps of A, receiving and acquiring remote-sensing satellite image data in real time from a polar orbit satellite receiving station; B, converting the remote-sensing satellite image data to each stage of image product by a pre-processing module, and calculating to finally obtain a brightness temperature value and a surface reflectivity value; C, performing atmospheric aerosol optical thickness inversion to obtain determined atmospheric aerosol optical thickness AOD under an aerosol mode; D, building a satellite remote-sensing PM2.5 concentration monitoring space variablecoefficient regression model to obtain a PM2.5 concentration calculation formula of a to-be-estimated point; and E, calculating to obtain PM2.5 concentration yi of all pixel points in an image of a to-be-monitored region. By the heaven and earth integrated information-based PM2.5 concentration monitoring method, PM2.5 concentration monitoring in a designated monitoring region can be efficiently and accurately achieved.

The embodiment of the invention relates to the field of forest fire monitoring, and particularly discloses a forest fire monitoring system and method based on a multi-source satellite remote sensing technology. The method comprises the following steps: receiving satellite monitoring data sent by a plurality of stationary satellites and a plurality of polar orbit satellites in real time to generate satellite processing data; fire point monitoring and analysis are carried out according to the satellite processing data, fire point monitoring information is generated, and fire alarm is carried out according to the key fire point information; and performing visual display on the fire point according to the fire point monitoring information, generating a fire monitoring image, and accessing iron tower video data and meteorological monitoring data to generate a comprehensive fire image. Through advantage complementation between the stationary satellite and the polar orbit satellite, fine, full-coverage and high-frequency monitoring requirements of the forest fire can be met, so that the forest fire can be found as soon as possible, the development situation of the forest fire can be continuously tracked, and dynamic change data of fire development can be acquired and dynamically displayed; and a decision basis is provided for scientific fighting of forest fire.

The invention relates to a machine-learning-based cross-sea bridge fog monitoring system comprising a user interaction module, a cross-sea bridge information remote-sensing extraction module, a remotesensing image processing module, a manual remote sensing image fog-zone identification module, a deep-learning-based fog recognition training module, a real-time fog monitoring module, a fog estimation test module, a bridge fog monitoring information processing module, and an interface service module. In addition, an application method of the machine-learning-based cross-sea bridge fog monitoringsystem includes the following nine steps of digital modeling, remote sensing image processing based on geostationary satellite constellation, remote sensing image processing based on polar orbit satellite constellation, treatment of ground fog and other meteorological elements, artificial fog zone sample labeling, large fog zone identification based on a deep convolutional neural network, fog monitoring information providing, TS scoring., and interface service providing. Therefore, the passing function guaranteeing capability of the cross-sea bridge is realized while the high safety is ensured.

The invention discloses a construction method of a total urban night light quantity-urban population regression model. The method includes: carrying out collection and screening of counting data of urban population of all prefecture-level cities, and determining training samples and test samples; preprocessing Landsat-8 remote-sensing images, and obtaining vector graphs of built-up areas of the training samples and the test samples through classification of support vector machines (SVMs) and clustering processing after classification; using the vector graphs of the built-up areas and a threshold method to eliminate background noises of NPP/VIIRS images, and calculating TNL (Total of Nighttime Light); and establishing the regression model for correlation analysis of total urban night lightquantity and urban population of the training samples, and making rational evaluation on the model. According to the method, on the one hand, multiple data sources are fused on an aspect of NPP-VIIRS(National Polar-orbiting Partnership/VisibleInfrared Imaging Radiaometer Suite) image denoising, and on the other hand, real-time performance and objectivity of the remote-sensing images are fully utilized, spatial distribution of urban population is reflected, and the method has important significance for prediction and evaluation of urban population data.

The invention discloses a satellite data picture-based method and device for processing a fire point of a power transmission line. The method comprises the following steps: obtaining a plurality of grid data packets through gridding the obtained satellite data picture; projecting each grid data packet and obtaining latitude and longitude coordinates of a pixel point in each grid data packet; extracting the fire point according to the brightness temperature value or the radiation quantity of the pixel point, and obtaining the latitude and longitude coordinates of the fire point; and obtaining the latitude and longitude coordinates of the fire point close to the power transmission line according to the latitude and longitude coordinates of the fire point and a geographic information system (GIS) of a power transmission line tower. The technical problem that fire prevention work of the power transmission line is delayed due to a low extraction speed of a conventionalsatellite data fire point extraction method is solved; effective fusion of satellite data receiving, data subpackaging and parallel processing is realized; the processing speed of meteorological polar orbit satellite data and the efficiency of coping with a forest fire disaster are improved; and an accurate information guidance is provided for forest fire prevention measures, so that the operation safety of a power grid is powerfully ensured.

The invention relates to the technical field of deep space exploration, and discloses a deep space communication system suitable for a phobos detection task. On one hand, a Mars polar satellite running on a special polar orbit is arranged on the Mars side, obstacles between the detector and the Mars polar satellite are always prevented from appearing to block decimetric wave communication. The purpose of uninterrupted full period of the decimetric wave communication link from the phobos to the Mars is achieved; on the other hand, at least three revolution satellites around the sun are used asinter-planet relay satellites, the purpose that the laser wave communication link between the planets is not interrupted in the whole period can be achieved; and at least three geosynchronous satellites are used as satellite-ground relay satellites, so that the purpose of uninterrupted full period of the satellite-ground Ku wave communication link can be achieved, the purpose of uninterrupted fullperiod of the complete communication link from the phobos to the ground is finally achieved, and the phobos detection task is ensured not to be affected by communication interruption.

The invention relates to a satellite-ground link chromatography vertical cloud field system and method based on a ground antenna array. The system comprises a satellite receiving antenna, a satellite receiver, a synchronous control module, an Internet of Things information transmission module, a cloud processing computing platform and a display platform. The satellite receiving antenna is used for tracking and receiving a downlink signal of a polar orbit satellite and collecting the signal strength and the signal quality of the downlink signal; the satellite receiving antenna and the satellite receiver jointly form a satellite receiving device; the synchronous control module is used for controlling azimuth angles and elevation angles of satellite receiving antennas; the Internet of Things information transmission module is used for transmitting the signal intensity and the signal quality acquired by the satellite receiving antenna to the cloud processing computing platform; the cloud processing computing platform is used for performing time sequence matching, preprocessing and inversion computing on the multiple satellite signals to obtain cloud field information; and the display platform is used for performing three-dimensional visual display on the vertical distribution of the cloud field. The chromatography vertical cloud field is scanned through a plurality of satellite-ground links to realize high-resolution reconstruction of the vertical distribution of the atmospheric cloud field.

The invention discloses a data fusion method and system for monitoring aerosol optical thickness by a polar orbit satellite. The method comprises the following steps: dividing an observation area intoa plurality of grids, and obtaining satellite monitoring values of aerosol optical thickness of each grid; Collect ground-based observations of aerosol optical depth recorded at each ground-based observation point at the time of transit of each satellite; Calculating a correction value of the aerosol optical depth of each satellite at a grid point and a weight of each satellite according to the position of the ground observation point and the ground observation value of the aerosol optical depth and the satellite monitoring value of the aerosol optical depth of each grid point; According to the weights, the aerosol optical depth of all satellites in each grid is calculated synthetically to obtain the aerosol optical depth. The invention adds the ground observation information to the satellite observation information, improves the monitoring accuracy of pollution, improves the utilization rate of the satellite information in the wide-area monitoring of pollutants, and has clear calculation flow and high practicability.

The invention discloses a multispectral rainfall detection method based on a random forest algorithm. The method comprises the steps: carrying out observation of the same cloud region at the same timethrough a visible and infrared spin scanning radiometer carried on a stationary satellite and a microwave temperature detector carried on a polar orbit satellite, and obtaining observation data; after visible and infrared spin scanning radiometer high-resolution cloud products are matched into microwave temperature detector phase elements, acquiring information on a surface of a cloud body in AMSU-A image elements of a microwave temperature detector and information inside the cloud body; and then simulating a nonlinear relationship between cloud top optical information and microwave rainfallinformation in the cloud body by using the random forest algorithm, and establishing a relationship between the optical information and the microwave rainfall information. The invention further provides a multispectral rainfall detection system based on the random forest algorithm. The system comprises a data acquisition module, a matching module, a modeling module, a model verification module anda rainfall detection module. Compared with a traditional detection method, the detection system and method have higher accuracy, higher detection rate and lower error rate.

The invention discloses a constellation design method suitable for orthogonal circular orbit constellation configuration. Based on motion characteristics and coverage characteristics of polar orbit constellation satellites, the characteristics of a coverage gap generated in an area which does not meet the continuous coverage requirement are analyzed, then in combination with the characteristics ofan equatorial orbit constellation satellite, an orthogonal circular orbit constellation design method based on geometric analysis is provided, and the minimum earth coverage half-width angle parameter of the equatorial satellite is accurately determined through an analytical method. According to the method, the ground minimum communication elevation angle of medium and low latitudes can be effectively improved on the premise of ensuring global complete continuous coverage, and the simulation result of STK shows the effectiveness of the constellation designed by the method.