48 results about "Satellite imaging" patented technology

The invention discloses a satellite image definition improving method based on elliptic Gaussian distribution, and relates to the technical field of remote sensing image processing, and the method comprises the steps: calculating and generating motion data according to collected physical imaging parameters, and constructing a reference motion vector based on the motion data, the motion data comprising a long-axis reference value and a reference fuzzy direction angle; a constraint space is constructed based on statistical characteristics of a real satellite image, and random degradation parameters are collected from the constraint space and comprise a long-axis disturbance item, a direction angle jitter item and a short-axis standard deviation; performing fusion processing on the reference motion vector and the random degradation parameter to generate a composite elliptical Gaussian degradation convolution kernel; according to the method, a long-axis reference value, a reference fuzzy direction angle, a random degradation parameter and alignment reference data are introduced in the construction process of a training sample pair set, so that the training sample pair better fits real satellite imaging in the aspects of fuzzy structure and space matching.

A system, method, and device for predicting a risk of wildfire are provided. The system includes a satellite imaging device for collecting data covering a target area and a processing server including an indices module for processing the data to generate key vegetation indices, a map generation module configured to generate weather and static maps, an analysis module configured to analyze historical wildfire data to identify past fire locations in the target area, an integration module configured to integrate the received, generated, and analyzed data to obtain a comprehensive dataset for the target area, and a risk prediction module configured to analyze the comprehensive dataset using a risk prediction model trained to predict the risk of wildfire for the targeted area, the risk prediction model including a machine-learning-based pattern detection model for receiving the comprehensive dataset as an input and generate prediction data describing a predicted risk as an output.

This invention proposes a high-dynamic real-time yaw rate adjustment and image shift compensation optical scanning imaging method and device, belonging to the field of optical remote sensing technology. It solves the technical problem of ensuring the quality of satellite on-orbit imaging. The method includes: using a combined imaging mode of vertical orbit scanning with a tilting mirror and pitch return to perform high-dynamic vertical orbit wide-area scanning imaging, determining the satellite imaging motion law, and establishing a high-precision multi-coordinate system object-image geometric mapping and image shift calculation model to calculate the variation law of image shift compensation parameters; measuring satellite orbit information, attitude information, and camera optical axis pointing information through a high-precision sensor, predicting the camera optical axis motion law using filtering, and substituting it into the image shift calculation model to obtain the line frequency; and achieving graded yaw rate adjustment through fixed yaw rate adjustment, curve fitting, and adjustment of the installation angle. This invention is applied to optical remote sensing satellites with high-dynamic vertical orbit wide-area scanning imaging, achieving on-orbit image shift compensation imaging that balances wide-area coverage and high resolution.

The invention discloses a ground station control method and system for executing real-time shooting and real-time transmission tasks by combining satellites. Belongs to the technical field of remote sensing satellite ground station control. The method comprises the following steps: defining a task plan template executed by a ground station, wherein the task plan template comprises a task plan type; a satellite data transmission stage is divided into different time nodes, and the control process of each task plan is divided through the time nodes; and selecting a corresponding task plan according to the actual working condition of the satellite, and executing a corresponding control process. The method can be combined with a satellite to complete orderly and rapid switching of modes of a ground station in one arc section, so that it is possible to complete instruction uploading to the satellite, satellite attitude adjustment, satellite imaging and data transmission, data receiving and production, and data identification and interpretation in one arc section.

The invention discloses a satellite imaging jitter measurement system based on area array detection. The satellite imaging jitter measurement system comprises a camera management controller, a camera main body, an imaging / jitter measurement detector and a signal processor, wherein the camera management controller receives a primary power supply, a bus and a second pulse signal from a satellite, and manages and controls the camera main body, the imaging / jitter measurement detector and the signal processor; the camera main body is used for imaging a ground object to a rear focal plane of the camera main body; the imaging / jitter measurement detector is mounted on the rear focal plane of the camera main body, acquires an object optical image at the rear focal plane of the camera main body, converts the object optical image into an image electric signal through photoelectric conversion, and transmits the image electric signal to the signal processor; and the signal processor is used for receiving the image electric signal, processing the image electric signal and outputting the image electric signal to the data transmission compression encoder. The satellite imaging quality is effectively improved.

A system, method, and device for predicting a risk of wildfire are provided. The system includes a satellite imaging device for collecting data covering a target area and a processing server including an indices module for processing the data to generate key vegetation indices, a map generation module configured to generate weather and static maps, an analysis module configured to analyze historical wildfire data to identify past fire locations in the target area, an integration module configured to integrate the received, generated, and analyzed data to obtain a comprehensive dataset for the target area, and a risk prediction module configured to analyze the comprehensive dataset using a risk prediction model trained to predict the risk of wildfire for the targeted area, the risk prediction model including a machine-learning-based pattern detection model for receiving the comprehensive dataset as an input and generate prediction data describing a predicted risk as an output.

The present application relates to a kind of linear array swing scan type optical satellite on-orbit geometric calibration method based on equivalent surface array, comprising the following steps: step 1, by image matching or artificial measurement method, from high-precision digital orthophoto map and digital elevation model, obtain the ground control point on the single pendulum satellite image;Step 2, according to the geometric relationship between the rotating scanning mirror, motion compensation mirror and linear array CCD in satellite imager and its imaging process, construct linear array swing scan type optical satellite geometric calibration model based on equivalent surface array;Step 3, using ground control point, solve linear array swing scan type optical satellite geometric calibration parameter.The present application can realize linear array swing scan type optical satellite high-precision on-orbit geometric calibration, thereby providing support for linear array swing scan type optical satellite image high-precision geometric processing.

A method for predicting and analyzing the real-time image transmission capability of remote sensing satellite point targets belongs to the field of satellite mission planning and data transmission technology. Without relying on third-party simulation software, it achieves automated analysis of the real-time image transmission capability of point targets through geometric analysis under imaging attitude and joint determination of time windows. It is used to automatically determine whether a ground point target meets the condition of "real-time image transmission after imaging" under the condition that the satellite imaging attitude is not adjusted, comprehensively considering the satellite imaging attitude, phased array antenna beam scanning angle limitations, and imaging-to-data transmission time constraints. This avoids reliance on manual simulation and calculation, improving analysis efficiency and accuracy.

This invention discloses an intelligence generation method and system based on feature fingerprint storage and spatiotemporal geometric correction, belonging to the field of intelligent remote sensing image processing technology. The method involves: accessing heterogeneous data streams generated from multi-source remote sensing images in a synchronized time sequence; inputting a shared backbone network and a modality adaptation layer to generate a current feature stream in a unified semantic space; asynchronously retrieving historical baseline features from an in-memory feature fingerprint database based on geographic coordinates; fusing satellite imaging parameters with the current feature stream and inputting it into a spatial transformation network, resampling historical baseline features using a regression transformation matrix to achieve spatiotemporal geometric correction in the feature domain; weighted fusing of the current feature streams from each modality to generate a fused feature stream; and parallel interpretation and semantic encapsulation of the fused feature stream to generate a natural language intelligence report. This invention reduces memory usage and data throughput, shortens the intelligence generation cycle, reduces the false alarm rate, and achieves synergistic optimization of timeliness, accuracy, and automation.

The present application relates to the field of aerospace technology, especially to a kind of earth observation satellite attitude controller parameter self-tuning method, the scheme includes: obtaining the desired direction and actual direction of satellite, and determining the control torque of flywheel, the satellite is earth observation satellite;Based on the control torque, obtain initial PID parameter, initial PID parameter is PID controller simulation parameter;Based on the PID controller simulation method of flywheel physical constraint, construct the fitness function of PID controller simulation parameter based on different satellite imaging mode;Satellite attitude control is simulated by PID controller simulation parameter, based on fitness function and initial PID parameter, the optimal fitness corresponding to target PID parameter under each satellite imaging mode is determined by iterative updating through particle swarm algorithm, the optimal solution of PID parameter is target PID parameter by using particle swarm algorithm combined with fitness function for iterative updating, the accuracy and efficiency of parameter setting are improved.

The invention provides an optical remote sensing satellite drift angle compensation method and system considering a camera off-axis angle. The method comprises the following steps: 1, calculating a satellite attitude angle at an imaging starting moment; 2, calculating a drift angle at a satellite imaging moment; 3, calculating the compensation angle of the satellite rotating around the visual axis of the camera; and 4, calculating a new attitude angle after satellite drift angle compensation. The method fully considers that an off-axis angle exists between the optical axis and the visual axis of the camera when the optical system is designed. Therefore, when drift angle compensation is carried out, the camera view field center can be ensured to be unchanged, the drift angle compensation residual error can be reduced, the calculation efficiency can be considered, the method can be popularized and applied in orbit, the imaging quality of an optical remote sensing satellite is improved, and the maximum observation benefit is obtained.

This invention discloses a near-space target localization method based on dual-satellite imaging, comprising: simultaneously acquiring original observation images of the same target using two low-Earth orbit (LEO) satellites; acquiring the centroid coordinates of the target region in the two original observation images respectively, and performing coarse localization based on the centroid coordinates to obtain the coarse localization point coordinates of the near-space target; performing forward path correction to generate a simulated image of the target observed by the two LEO satellites under the current localization; performing residual correction on the estimated spatial position of the target to obtain the residual-corrected spatial position of the target; and repeating the above steps based on the residual-corrected spatial position in the current iteration until the iteration conditions are met to obtain the precise localization of the target. By constructing a closed-loop technical scheme of "dual-satellite synchronous imaging - coarse localization - non-uniform atmospheric and imaging system effect coupling correction - image centroid comparison - iterative optimization", the accurate inversion of the three-dimensional position of near-space targets can be achieved.

This invention proposes an agile optical satellite linear array imaging method on the move, solving the problem of failing to obtain high-fidelity remote sensing images due to improper attitude control planning methods and imaging parameter selection and settings. The method includes: acquiring the satellite imaging task and selecting the satellite imaging mode; setting the evaluation benchmarks and their weights for each indicator in the imaging task; establishing an imaging parameter selection set, selecting one combination of imaging parameters for orbit calculation and attitude planning, calculating the imaging quality by correcting the yaw angle with the detector center point as a reference, and calculating the number of detector elements whose transfer functions meet the standards; calculating the comprehensive imaging evaluation parameter value of the imaging parameter combination based on the imaging quality value and the number of detector elements, using the set evaluation benchmarks and weights, and according to the comprehensive imaging evaluation function g; selecting the highest comprehensive evaluation parameter value from various imaging parameter combinations, and inputting the parameters of this combination to the satellite to execute the imaging task.

A system, method, and device for predicting a risk of wildfire are provided. The system includes a satellite imaging device for collecting data covering a target area and a processing server including an indices module for processing the data to generate key vegetation indices, a map generation module configured to generate weather and static maps, an analysis module configured to analyze historical wildfire data to identify past fire locations in the target area, an integration module configured to integrate the received, generated, and analyzed data to obtain a comprehensive dataset for the target area, and a risk prediction module configured to analyze the comprehensive dataset using a risk prediction model trained to predict the risk of wildfire for the targeted area, the risk prediction model including a machine-learning-based pattern detection model for receiving the comprehensive dataset as an input and generate prediction data describing a predicted risk as an output.

The application provides an interferometric SAR satellite data query method based on space-time baseline precalculation, comprising the following steps: analyzing user order information and extracting product key identification information; screening interferometric SAR satellite product information in the order according to preset product level, imaging mode, orbit direction and other screening rules; obtaining metadata corresponding to the product identification information from the data center storage device according to a metadata specific naming format and a storage path; analyzing satellite imaging parameters and satellite orbit position information in the metadata; taking the product image with the earliest imaging time as the main image for space-time baseline calculation, and taking other product images as auxiliary images; and providing a basis for efficient application of interferometric SAR satellite data products by the user in the future, so as to precalculate space-time baseline information of the queried data products when the user queries the interferometric SAR satellite data products.

This invention proposes an on-orbit autonomous geometric calibration method and system for wide-field-of-view optical remote sensing satellites. The method includes: camera imaging and transmitting the captured images to an on-board calibration type autonomous identification module; the on-board calibration type autonomous identification module, combined with satellite orbit and attitude data, determines whether the camera's field of view simultaneously images deep space and the ground; if both exist simultaneously, the Earth's edge is extracted as the boundary between stars and landmarks to delineate their distribution areas; if not, the calibration point type is explicitly determined to be either a landmark or a star; based on the calibration point type, the corresponding image is transmitted to an on-board stellar autonomous calibration module or an on-board landmark autonomous calibration module, and geometric calibration parameters are calculated; the calculated calibration parameters are transmitted to an on-board information processing unit for satellite imaging. This invention ensures the geometric calibration accuracy across the entire field of view of the camera; it avoids the process of transmitting satellite images down to the ground for calculation, thus improving the real-time performance of the calibration parameters.

This application discloses a method, apparatus, electronic device, and medium for predicting satellite imaging quality. The method includes: acquiring a dataset of the area to be predicted; the dataset includes location information, time information, and meteorological data; evaluating the quality of the dataset using a pre-built classification prediction model to determine its data quality level; and inputting the dataset into a pre-built imaging prediction model of the corresponding level to obtain an imaging prediction score; the higher the imaging prediction score, the higher the imaging suitability of the area to be predicted. Therefore, through a two-stage prediction mechanism, based on the data to be predicted, the imaging suitability of the area to be predicted can be predicted, allowing for the early elimination of mission requests with low imaging suitability, improving the spatiotemporal matching and success rate of imaging plans, reducing invalid imaging and data transmission, and improving satellite imaging efficiency and ground station resource utilization.

The invention relates to a long synthetic aperture time SAR imaging airborne test verification method, and belongs to the field of satellite overall design. Building a ground test system; designing a frequency band of the SAR antenna; designing a polarization mode of the ground test system; designing the flight height of a flight platform in the ground test system; designing an incident angle range of an SAR antenna beam in the ground test system; designing the flight speed of the flight platform; designing a radar slope distance in the ground test system; designing the breadth of the ground test system; designing a beam incident angle of the ground test system; the synthetic aperture time of the ground test system is designed; designing the azimuth resolution of the ground test system; designing the bandwidth of the ground test system; the flight platform flies according to the design parameters, test original echo data are obtained, a final imaging image is obtained, and verification of the imaging performance of the SAR satellite with the long synthetic aperture time is completed; according to the method, the long synthetic aperture time SAR satellite imaging performance and function are verified in the satellite ground development stage.

An optimal joint planning method for imaging satellite missions based on a conflict resolution model relates to the field of satellite mission joint planning technology. It addresses the existing need to design a planning method that considers both imaging and data transmission. The method involves: acquiring information on all visible imaging windows and visible data transmission windows; establishing a conflict matrix between the visible imaging and data transmission windows; establishing an integer linear programming mathematical model based on constraints generated by the conflict matrix, single-transmission resource constraints for visible data transmission windows, and single-satellite daily storage constraints. This integer linear programming mathematical model uses maximizing total revenue as its objective function, taking data transmission costs into account; solving the integer linear programming mathematical model; and formulating a satellite-imaging-data transmission plan based on the obtained solution. This invention provides a planning method that simultaneously considers visible imaging and data transmission windows, solving the complex multi-satellite, multi-ground-station planning coupling problem, and is applicable to joint planning of multiple satellites and multiple ground stations.

The application provides a hypersensitive satellite multi-satellite regional imaging task scheduling method, comprising the following steps: step 1, analyzing hypersensitive satellite multi-satellite regional imaging task requirements, and simplifying the task scheduling process; step 2, taking the shortest total length of strips as the target, performing strip decomposition on the region to be imaged, and obtaining an atomic task set for task scheduling; step 3, according to the task set of step 2, selecting corresponding multi-class decision variables, taking maximizing imaging coverage benefits and minimizing imaging task execution time as the target, and constructing a multi-satellite imaging task scheduling model; step 4, solving the constructed multi-satellite imaging task scheduling model; and step 5, combining the optimal decision variable group obtained in step 4 into a task scheduling scheme. The application effectively adapts to the optimization solving requirement of the multi-class decision variable problem, and can be effectively applied to hypersensitive satellite multi-satellite regional imaging task scheduling.

The application relates to the technical field of satellite task planning, and discloses a multi-constraint satellite task planning method and system based on U-Net. The method comprises the following steps: acquiring orbit parameter information of a target satellite; constructing multi-source constraint adjustment; constructing a unified gridded multi-channel feature set; constructing a three-dimensional sample feature vector based on an orbit period and a snake-shaped arrangement mode; generating a corresponding binary label feature vector; and outputting a satellite task planning prediction result. Compared with the prior art, the method can solve the technical problems that the prior art relies on manual rules to formulate tasks, is difficult to cope with multi-source heterogeneous constraint fusion and large-scale sample parallel processing, and especially under the conditions that task windows overlap densely or ground resources conflict seriously, the prior art cannot realize fast and efficient imaging task planning. Due to the three-dimensional space-time representation of multi-constraint information and the introduction of the U-Net model with a coding and decoding jump structure, the intelligent level of satellite imaging task planning is improved.

This invention relates to a unified geometric calibration method for large-scale spaceborne SAR images, comprising: collecting SAR image products and preprocessing them to obtain intensity data; constructing an RD geometric positioning model based on SAR image auxiliary files; acquiring the corresponding orthophoto and digital elevation model of the SAR image, generating a database of control points and checkpoints, thereby calculating the geometric positioning deviation of the initial RD model; determining the sources of ground geometric positioning errors based on the SAR imaging mechanism, thereby establishing error equations and a geometric calibration model; obtaining atmospheric parameters using a standard atmospheric model and combining it with the Saas-Tamonin and Krobuscher models to achieve near-real-time estimation of atmospheric path delay; calculating SAR satellite imaging error correction parameters based on the control point database and the geometric calibration model, and then updating the RD geometric positioning model. Compared with existing technologies, the unified geometric calibration method for large-scale spaceborne SAR images adopted in this invention does not require the support of a geometric calibration field and does not rely on reanalysis meteorological products, thus possessing better versatility.

The patent belongs to the field of remote sensing data marine application processing, and particularly relates to a marine ship correlation identification method based on AIS and satellite-borne SAR data. The method mainly comprises the following steps: step one: acquiring AIS data based on a SAR satellite imaging time; step two: AIS data cleaning and processing; step three: ship track recovery in an AIS time interval; step four: ship state deduction in the AIS time interval; the deduction comprises time-distance vector or time-azimuth vector speed mapping relationship establishment; step five: ship real position revision based on a satellite-borne SAR imaging principle; step six: AIS and satellite-borne SAR data marine ship target accurate correlation processing; and step seven: satellite-borne SAR marine image system geometric error calculation. The method deduces ship real position, speed, heading and other state information at the satellite imaging time through data processing, mapping relationship establishment, distance speed decomposition and other modes, and can effectively quantify the degree of displacement of a moving target when imaged by a SAR.

This invention provides a method and system for planning emergency missions for imaging satellites based on a synthesis strategy, relating to the field of imaging satellite mission planning technology. This invention can identify conflicts in the planning scheme for emergency missions. Under the condition of satisfying synthesis constraints, it synthesizes the selected emergency missions with the conflicting missions in the planning scheme, reducing the number of maneuvers and startups of the imaging satellite during mission imaging, as well as the number of shutdowns at the end of imaging, thereby increasing the chances of completing emergency missions and improving the effectiveness of emergency mission planning. When no synthesis constraints are satisfied, an emergency mission insertion strategy is executed. This allows the selected emergency missions to be inserted into conflict-free positions within the visible time window when there are many conflicts. Synthetic observation reduces the imaging time of the imaging satellite, improves the resource utilization efficiency of the imaging satellite, and reserves more idle imaging time slots for subsequent emergency mission scheduling.

The application aims at SAR satellite imaging in motion, and provides a method for establishing an attitude reference for SAR satellite imaging in motion. The method for establishing the attitude reference can calculate target attitude quaternion and attitude angular velocity in an orbit coordinate system in real time in the process of satellite imaging maneuver, and ensures the accuracy of the establishment of the imaging reference in the process of imaging in motion.

The application discloses a kind of along-track effective baseline estimation method and system of interferometric synthetic aperture radar, including obtaining the orbit data of main auxiliary satellite in set time period and main auxiliary satellite image, the orbit equation of main auxiliary satellite is obtained using polynomial fitting;The offset between main auxiliary satellite image is calculated, and the starting time of main auxiliary satellite imaging is determined based on the offset, respectively obtain the imaging time of each row in the azimuth direction of main auxiliary satellite image;The relationship function of along-track effective baseline and the row number in the azimuth direction of main auxiliary satellite image is established;Based on the orbit equation of main auxiliary satellite and the imaging time of each row in the azimuth direction of main auxiliary satellite image, the along-track effective baseline of different positions in the azimuth direction is estimated by combining the relationship function.The application solves the problem that the along-track effective baseline cannot be accurately estimated in the prior art, and accurately estimates the along-track effective baseline of different azimuth directions by row, to ensure accurate sea current inversion at different azimuth positions and improve the accuracy of sea current inversion.

The invention relates to the cross technical field of remote sensing image processing and deep learning, and discloses a key feature and dynamic prior guidance-based small satellite image high-efficiency super-resolution method and system, and the method comprises the steps: preprocessing a low-resolution small satellite image, sequentially carrying out the shallow feature extraction and deep feature extraction containing a plurality of serial KDDB modules, and carrying out the super-resolution of the small satellite image; and a super-resolution image is output through residual connection and pixel rearrangement up-sampling. According to the method, platform resource occupation is greatly reduced while reconstructed image quality is guaranteed, performance and efficiency are effectively balanced, the small satellite imaging bottleneck is broken through, and the method can be applied to remote sensing scenes such as environment monitoring and resource investigation.

The invention provides a response type synthetic aperture radar constellation imaging method and system for typhoon observation, and the method comprises the steps: building a target observation region, setting a time window, carrying out the grid division of the target region, and forming a to-be-observed target set; determining satellite resources which can be used for executing observation tasks, configuring sensor view field parameters and geometric constraint conditions, and completing initialization; extrapolating the satellite orbit, and obtaining the coverage condition of the constellation in each observation window to the target area; taking maneuvering pulses of all satellites in the constellation as decision variables, and constructing a coverage rate and fuel consumption multi-objective optimization model; performing optimization search on the maneuvering scheme by adopting a multi-target genetic algorithm to obtain a Pareto optimal solution set; screening and comparing the candidate solutions to form an optimal or suboptimal maneuvering sequence scheme; and outputting a corresponding satellite imaging coverage rate and a maneuvering sequence.

The application relates to the field of aerospace microwave remote sensing technology and provides a kind of on-orbit autonomous task planning method, device and equipment of satellite-borne synthetic aperture radar, the method comprises: obtaining imaging parameter information;Imaging parameter information is determined by satellite imaging system based on task annotation information, orbit information and imaging parameter preset table, and the task annotation information is obtained by analyzing the observation demand of the user by the satellite imaging system;The orbit information is determined based on satellite prediction information. In the method, the imaging parameter information is determined by the satellite imaging system based on the task annotation information, the orbit information and the imaging parameter preset table, the traditional satellite-borne SAR task planning part parameter calculation and instruction generation process is moved to the satellite, the manual calculation and the ground annotation step are saved, and the dependence of the task planning process on the ground calculation is reduced;The task annotation information is obtained by analyzing the observation demand of the user by the satellite imaging system, the observation demand can be annotated in advance, satellite resources are fully utilized, and the task execution efficiency is greatly improved.

The invention relates to a satellite optical imaging simulation method and device based on a non-layered live-action three-dimensional model, and belongs to the technical field of remote sensing imaging simulation, and the method comprises the steps: building an inter-block index and an intra-block index based on a plurality of OBJ block files corresponding to non-layered live-action three-dimensional model data; the method comprises the following steps: simulating satellite imaging time, orbit position and satellite attitude to obtain a strict geometric model of satellite linear array push-broom imaging, and performing rational function model fitting on the strict geometric model to obtain an RPC model; performing ray tracing on the whole-scene satellite image based on the inter-block index, the intra-block index and an RPC model, and determining texture brightness information of ground points corresponding to pixels of the whole-scene satellite image; illumination and shadow simulation is carried out based on the ground points, and soft shadow intensity is determined; and carrying out atmospheric transmission modeling and camera response modeling based on the texture brightness information and the soft shadow intensity to obtain a satellite optical simulation image. According to the simulation method provided by the invention, high-precision satellite optical imaging rapid simulation can be realized.