122 results about "Satellite imaging" patented technology

The invention provides an intraday high-frequency automatic monitoring method and system for lake cyanobacterial bloom based on a GOCI-II satellite, and aims to solve the problems that an existing method is susceptible to interference of thin cloud, low in recognition precision, high in false positive rate, low in efficiency and the like, and the processing flow depends on manpower. The system is based on an improved AFAI index, fine cloud detection, cloud expansion processing and classification correction strategies are combined, misrecognition caused by thin clouds and shadows is effectively restrained, and the extraction accuracy and robustness are improved. The system has the whole-process unattended processing capacity from GOCI-II data automatic downloading, preprocessing, algal bloom recognition, thematic map making to report output, can generate a monitoring report within one hour after satellite imaging, and supports intra-day multi-temporal cyanobacterial bloom dynamic monitoring. The method has been successfully applied to lakes such as Taihu Lake, lakes, Chaohu Lake and Hongze Lake, is particularly suitable for monitoring and early warning cyanobacterial bloom in large and medium lakes, and has wide application prospects in the fields of water environment supervision, water quality risk control, ecological assessment and the like.

The invention discloses a satellite-ground integrated imaging parameter tuning method based on target imaging performance simulation. The satellite-ground integrated imaging parameter tuning method comprises the following steps: constructing an optical camera imaging parameter lookup table meeting satellite design indexes; determining a satellite attitude and orbit position parameter sequence during satellite imaging observation; target radiation characteristic parameters of the imaging area are determined, and meanwhile, target optical characteristics are utilized to model target radiance signals; determining the boundary of the optional imaging parameter combination of each spectrum band of the satellite optical camera; estimating imaging performance parameters of the satellite optical camera under various imaging parameter combination conditions; and calculating a mahalanobis distance by using the imaging performance parameters of the satellite optical camera under each parameter combination and task indexes required by an imaging task, and obtaining an optimal imaging parameter according to the mahalanobis distance. According to the invention, automatic optimization of optical satellite imaging parameters is realized, and the usability of satellite control is improved.

The invention relates to the technical field of building risk monitoring, in particular to an InSAR building scatterer positioning method, device and equipment, a storage medium and a computer program product. According to the method, urban point cloud data is segmented to obtain an urban building monomer instance point cloud set; based on the point cloud set, adopting a surface reconstruction algorithm to construct a building grid model; based on the grid model and the SAR satellite imaging parameters, adopting an SAR simulation technology to identify a radar illuminable vector frame of the building; converting the vector frame from a geographic coordinate system into an SAR image coordinate system, performing bilinear interpolation based on the geographic coordinates of the angular points of the vector frame, and determining the geographic coordinates of the scatterer in the vector frame; and if the scatterer is located in the overlapping region of the plurality of vector frames, performing overlay identification on the pixel points in the vector frames based on the geographic coordinates, determining the unique geographic coordinates, and determining the geographic positioning of the building scatterer in combination with the deformation information of the scatterer, thereby improving the positioning precision of the building scatterer.

The invention relates to a remote sensing satellite group adaptive task planning method and system based on a large language model, and the method comprises the steps: building an optimization model based on decision variables, constraint conditions and optimization targets of remote sensing satellite group task planning; generating an initial task planning strategy by adopting a greedy algorithm based on the optimization model; performing iterative optimization on the initial task planning strategy through a large language model, generating a new round of task planning strategy in each iteration, performing scoring by taking an optimization target as an evaluation function, stopping optimization until a preset number of iteration optimization times is reached, and outputting the task planning strategy with the highest score; and based on the task planning strategy with the highest score, performing remote sensing satellite group adaptive task planning. According to the method, multi-satellite distributed task planning can be effectively carried out on the dynamic task, the task income is improved, and the satellite imaging time consumption is reduced.

Combining augmented reality (AR), virtual reality (VR), and photogrammetry to facilitate interactions with the physical world is disclosed. Images may be collected through various means (e.g., images taken by drones, ground-based photography, satellite imaging, etc.) and used to construct a three-dimensional (3D) model representation of the real world. This virtual environment can then be experienced by users in either a computing system (e.g., a desktop computer, laptop computer, smart phone, tablet, etc.) or a VR interface (e.g., a headset). The users can create various annotations, such as voice recordings, images, text, etc., and place these annotations in the virtual 3D model of the real world. These annotations are linked to the physical world via a coordinate system. AR “explorers” and VR users can then interact with one another via geographically aligned AR and VR models.

The invention provides an AIS beacon guided SAR satellite imaging method fused with a Beidou short message. The method comprises the following steps: receiving a target imaging instruction; analyzing the acquired AIS beacon signal of each ship, and extracting ship characteristic attribute information and state information of each ship; matching the ship characteristic attribute information of each ship with the target identification information, and screening out at least one target ship; based on the state information and orbit parameters of the satellite, selecting at least one target to be imaged from the at least one target ship, and generating imaging task parameters; controlling an SAR load to execute imaging operation on a corresponding area of the at least one to-be-imaged target, and generating original SAR imaging data; and the data are transmitted back to a ground terminal according to the priority level through a dual-channel transceiving channel, so that the dynamic response capability of a satellite is improved, the reliability of a data transmission link is enhanced, and the real-time performance of emergency imaging data is improved.

The invention provides an InSAR baseline combination design method and system for four-satellite formation, and belongs to the technical field of radar measurement, and the method comprises the steps: giving formation SAR satellite imaging parameters according to a surveying and mapping scale requirement and an InSAR multi-baseline fusion elevation measurement error requirement, and calculating a satellite vertical baseline initial constraint range; calculating an interference stereo measurement offset fusion standard deviation of each baseline; calculating an interference stereo measurement fusion offset error scaling coefficient and a dimensional conversion coefficient, and further calculating an interference stereo measurement fusion phase standard deviation; constructing a non-fuzzy elevation reconstruction constraint condition; and according to system parameters, solving a baseline combination threshold range in combination with the given constraint condition set to obtain an InSAR baseline design combination of the four-satellite formation. The method is used for design optimization of the formation track.

The invention relates to the technical field of spaceflight microwave remote sensing, and provides a spaceborne synthetic aperture radar in-orbit autonomous task planning method, device and equipment, and the method comprises the steps: obtaining imaging parameter information; the imaging parameter information is determined by the satellite imaging system based on task annotation information, orbit information and an imaging parameter preset table, and the task annotation information is obtained by the satellite imaging system by analyzing observation requirements of a user; the orbit information is determined based on satellite forecast information. According to the method, imaging parameter information is determined by a satellite imaging system based on task uploading information, orbit information and an imaging parameter preset table, partial parameter calculation and instruction generation processes of traditional satellite-borne SAR task planning are moved to a satellite, manual calculation and ground uploading steps are omitted, and dependence of the task planning process on ground calculation is reduced; the task uploading information is obtained by analyzing the observation demand of the user through the satellite imaging system, the observation demand can be uploaded in advance, satellite resources are fully utilized, and the task execution efficiency is greatly improved.

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.

The invention relates to an agile satellite visibility analysis method based on an along-longitude push-broom mode, relates to the technical field of satellite task planning and visibility analysis, and solves the technical problem that an existing target visibility analysis method is difficult to accurately reflect a real visibility state in a satellite continuous imaging process. The method comprises the following steps: acquiring an imaging center point coordinate, an imaging duration, satellite imaging parameter information, satellite orbit information and a target shooting period; the visibility of the imaging center point in the shooting period is calculated, division is carried out according to the number of orbital circles, and a visible information set of the center point is obtained. The agile satellite visibility analysis method based on the along-longitude push-broom mode is suitable for efficient visibility calculation of an agile optical remote sensing satellite and oriented to an along-longitude imaging scene, the visibility state of a target in the imaging process can be accurately evaluated on the basis of considering satellite attitude maneuver characteristics and orbit constraints, and the accuracy of the visibility analysis is improved. Therefore, accurate support is provided for task arrangement and resource scheduling.

The invention relates to the technical field of geological disaster monitoring, and discloses an InSAR hidden danger point automatic identification method based on hotspot analysis, and the method comprises the steps: S1, carrying out the mask and format conversion of an unreliable region of an InSAR deformation field; due to geometric distortion caused by imaging geometry of satellites, areas with low vegetation coherence may mislead subsequent hotspot analysis. According to the invention, through combination of remote sensing and GIS technologies, accurate screening models and algorithms are respectively established, and automatic and efficient elimination of unreliable areas is realized; a hotspot analysis technology is introduced into the field of automatic extraction of an InSAR deformation field, and element points are innovatively set according to characteristics of InSAR deformation data and actual requirements of geological hidden danger detection and serve as extraction standards of reliable deformation points with spatial clustering properties when specific conditions are met. The method can accurately extract the points really having the possibility of geological hidden troubles from the complex deformation data.

The present invention discloses a method for mission planning of a giant remote sensing constellation for regional targets, comprising the following steps: Step 1, construct a global regional reference system, determine the reference grid of the regional target and the corresponding observation grid, and obtain the observation grid information; Step 2, determine the observation priority, and calculate the comprehensive observation priority of each reference grid; Step 3, pre-allocate the constellation mission, generate the one-to-one correspondence between the observation grid and the imaging satellite within the observation demand period in the observation demand information, and obtain the constellation mission pre-allocation plan; Step 4, single-satellite mission planning, generate the satellite imaging and data transmission plans in the single-satellite mission planning stage based on the constellation mission pre-allocation plan, satellite special constraint conditions, satellite imaging characteristic parameters, satellite data transmission scheme and its optimization strategy. The present invention fully considers the constellation orbit heterogeneity, highly symmetric spatial structure and the law of global periodic motion, which helps to achieve the instant observation of the giant remote sensing constellation.

The invention discloses a satellite planning and scheduling method, medium and equipment based on enhanced multi-population inheritance, and relates to the field of multi-satellite imaging task scheduling, and the method comprises the steps: constructing a constraint model and a target function of multi-satellite task scheduling; calculating the conflict degree of the visible time window of each satellite resource, and allocating the visible time window with the conflict degree of 0 to a task to complete scheduling preprocessing; generating satellite resources and visible time window initial solution individuals of satellite task scheduling by adopting a bisection method; a double-population genetic algorithm is adopted, one population is used for exploring a new allocation scheme, the other population is used for optimizing a task planning result under a specific allocation scheme, and population communication is carried out based on reinforcement learning; and performing task insertion based on time relaxation according to a multi-satellite task scheduling solution obtained by the double-population genetic algorithm, and if task insertion cannot be performed, performing task replacement to obtain a final scheduling scheme. According to the method, the problem of complex multi-satellite imaging scheduling can be solved.

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 invention relates to the technical field of remote sensing image on-orbit real-time processing, in particular to a low-redundancy-rate image segmentation method and system based on an FPGA, and the method comprises the steps: determining the maximum physical size of a target object; calculating a first maximum pixel value occupied by the target type object in the remote sensing image according to the maximum physical size of the target type object; performing correction calculation on the maximum physical size according to the side-sway angle during satellite imaging to obtain the maximum physical size of the target object after side-sway distortion is considered; calculating a second maximum pixel value occupied by the target type object in the remote sensing image according to the maximum physical size of the target type object after side-sway distortion is considered; taking the maximum value from the first maximum pixel value and the second maximum pixel value as an overlapping region setting value; setting an overlapping region setting value as a sliding window segmentation step length; and carrying out sliding window segmentation on the segmented sub-graphs according to the sliding window segmentation step length. According to the method and the device, the minimization of the overlapped region of the segmented sub-images is realized, the segmentation redundancy rate is reduced, and the data storage and transmission quantity is reduced.

The invention discloses a transmission line icing state analysis and early warning method and system based on a synthetic aperture radar satellite image, and belongs to the technical field of radar satellite remote sensing monitoring, and the method comprises the steps: S1, carrying out the data collection of a synthetic aperture radar image of a transmission line monitoring region based on meteorological condition forecasting, and carrying out the data collection; obtaining background data of the power transmission conductor in an uniced state; s2, performing data acquisition and preprocessing based on the synthetic aperture radar satellite image in the icing state of the power transmission line monitoring area to obtain icing data in the icing state of the power transmission line; and S3, performing analysis and early warning based on the background data of the power transmission conductor in the uniced state and the iced data of the power transmission conductor in the iced state. According to the invention, through the SAR satellite imaging technology, rapid power transmission line icing state monitoring and real-time early warning work are carried out, the problem of limited monitoring capability and range of current manual and online monitoring sensors is solved, and new added value is provided in the aspect of power transmission line operation and maintenance.

The invention belongs to the field of satellite imaging algorithms, and particularly relates to a method for predicting an earth observation imaging window of an imaging satellite, which is used for imaging an imaging target and comprises the following steps of: 1, roughly searching; step 2, performing imaging estimation; and step 3, performing imaging correction. Compared with the prior art, the imaging satellite task planning method solves the problems that in the prior art, imaging satellite task planning takes little consideration to constraint conditions, calculation errors are large, algorithms are complex, and the imaging effect is poor, and perturbation and errors caused by the factors such as the earth oblateness, the orbit eccentricity rate and the atmospheric resistance are considered in the scheme. And a simple and rapid iterative algorithm is further applied to solve a satellite imaging window, so that the efficiency and the accuracy of an autonomous task are improved.

The invention discloses an ISAR image feature extraction method and application in non-cooperative spacecraft attitude estimation, and relates to the field of image processing and feature extraction, and the method comprises the steps: carrying out the preprocessing of an image in a data set; respectively carrying out shallow feature extraction and deep feature extraction on the preprocessed image based on transfer learning to obtain corresponding feature data Xd; wherein the deep feature extraction is realized by constructing a neural network based on a U structure, and an encoder part and a decoder part of the neural network both use a dense residual block DRB to complete multi-level feature extraction. According to the ISAR image feature extraction method and the application thereof in non-cooperative spacecraft attitude estimation, low-resolution features are extracted in combination with dense residual blocks of channel attention, the problem of sparse image features is relieved, feature loss caused by sub-sampling is compensated, and satellite imaging image space feature information is fully excavated.

Methods and apparatus for Real-time Satellite Imaging System (10) are disclosed. More particularly, one embodiment of the present invention an imaging sensor (14) on a geostationary satellite having one or more co-collimated telescopes (18). The telescopes (18) illuminate focal planes (22) which are sparsely populated with focal plane arrays (24). The focal plane arrays (24) record the entire observable Earth hemisphere at one time, at least once every ten seconds.

The invention discloses a distributed satellite metadata coverage analysis method based on recursive segmentation and aggregation. The method comprises the following steps: recursively segmenting a target space region to be analyzed into a plurality of equally divided grids; performing coverage analysis on the metadata set corresponding to each equally-divided grid based on a distributed computing framework, and generating a basic metadata coverage area graph and a basic coverage area corresponding to each equally-divided grid; and aggregating metadata coverage area graphs and coverage areas corresponding to all equally divided grids, and outputting a coverage analysis result. According to the method and the device, coverage calculation is fractionally decomposed into small-area calculation according to the requirement of matching calculation of the coverage range of the ten-million-level metadata and the target space area, then the coverage result of the whole area is obtained through recursion and merging, the method and the device are suitable for achieving the purpose of quickly calculating the coverage graph and the coverage rate by using a distributed calculation framework, and the calculation efficiency is improved. The coverage range of the satellite metadata set can be visually displayed; and meanwhile, the observation missing range of the target space region can be dynamically analyzed and calculated, so that subsequent satellite imaging planning is facilitated.

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 double-shaft solar wing control method and device giving consideration to flexibility suppression, and belongs to the technical field of spacecraft control. The method comprises the following steps: respectively calculating nominal angles of an A axis and a B axis according to a unit vector of the sun in a satellite orbit system; wherein the nominal angle of the B axis is determined according to a flexible vibration suppression interval after discretization processing; the flexible vibration suppression interval is an angle avoiding interval set for avoiding the resonant frequency; calculating control errors of the A axis and the B axis according to the nominal angles and the rotation angle measurement values of the A axis and the B axis; and according to the satellite imaging state and the state of the double-axis solar wing, the rotation of the A axis and the rotation of the B axis are controlled by using the control error so as to eliminate the sun alignment error of the double-axis solar wing. According to the invention, the resonance interval between the driving frequency and the axial vibration frequency can be avoided, and the resonance risk is reduced.

The invention discloses a surface temperature and downscaling temperature inversion method based on remote sensing data, and belongs to the technical field of remote sensing data processing. The method comprises the following steps: 1) fusing measured data of a weather station at an interval of three hours all day with Landsat 8 / 9 satellite imaging time through a cubic spline interpolation method, generating a space-time matched land surface temperature (LST) inversion result, and eliminating abnormal values by using a Kutta distance method to optimize model precision; (2) the surface emissivity is calculated based on an NDVI threshold value method, and the vegetation coverage (Pv) is dynamically determined through an NDVI empirical threshold value (NDVIsoil = 0.05, and NDVIeg = 0.70); and 3) in a Google Earth Engine (GEE) platform, in combination with Landsat 8 / 9 (30 meters) and Sentinel-2 (10 meters) multi-source satellite data, constructing a random forest model with NDVI, NDBI and NDWI as inputs, downscaling the LST to a resolution of 10 meters, and smoothly improving detail precision through regression residual error. The problems that a traditional method is low in resolution, large in space-time matching error and remarkable in abnormal value interference are solved, the inversion precision index R is larger than or equal to 0.85, RMSE is smaller than or equal to 1.5 DEG C, and the method is suitable for urban heat island effect analysis, environment monitoring and climate research.

The invention provides a multi-satellite observation planning method and system based on a reinforcement learning algorithm, and the method comprises the steps: constructing a ground grid, a satellite in-orbit imaging geometric model, and a satellite imaging strip construction model, and taking the maximization of the coverage of a plurality of satellite strips on the ground grid as an optimization target. A PPO reinforcement learning algorithm is utilized to select a deflection angle and an imaging time action space of each satellite, imaging strip distribution of each satellite is generated according to the deflection angle and the imaging time action of each satellite, a multi-satellite imaging strip coverage problem is solved, a multi-satellite imaging strip coverage strategy is executed, and multi-satellite earth imaging coverage is realized. According to the invention, the scheme of the maximum coverage target of the affected area can be planned from the deflection angles and imaging time actions of a plurality of satellites in the emergency environment.

Intelligent In-orbit Micro-vibration Suppression System for Satellites. It belongs to the technical field of spacecraft systems, specifically involving the technical field of vibration suppression for remote sensing satellites. It solves the problem that the existing variable-parameter satellite vibration isolators cannot be actually controlled and applied. The system includes a variable-parameter satellite vibration isolator, a central control unit, and a power distribution and thermal control unit; the central control unit: includes a rotational speed acquisition module, a parameter calculation module, and a temperature control module; the power distribution and thermal control unit: includes a first power distribution and thermal control unit and a second power distribution and thermal control unit; the second power distribution and thermal control unit receives the temperature control command from the temperature control module and supplies power to the heating wire in the variable-parameter satellite vibration isolator according to the temperature control command. The system of the present invention can be applied in the fields of remote sensing satellite assembly and manufacturing, remote sensing satellite vibration suppression, and remote sensing satellite imaging system design.

The invention discloses an autonomous multi-target tracking method based on dynamic adjustment of a position relation between targets, and belongs to the field of remote sensing satellite task execution. According to the method, a plurality of targets in an imaging area are selected as follow-up tracking targets according to user requirements, and an initial tracking task is formed; and when each tracking target cannot be located in the same view field along with the movement in each direction, a new task is adaptively and dynamically split while the original task is continued to be executed. And the new task covers the target which cannot be continuously covered in the view field of the original task by adjusting the satellite imaging pointing area. And a plurality of imaging tasks are alternately executed, and imaging direction adjustment is carried out among the tasks, so that continuous coverage imaging and tracking of all tracking targets are realized. According to the invention, the efficiency of multiple target tracking tasks is improved, and the satellite target tracking capacity is improved.

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.

The invention discloses a future beneficial distributed satellite online scheduling method for emergency task arrival, and the method comprises the steps: building an emergency task arrival-oriented satellite online scheduling model for solving a problem that an SOS-ET problem lacks a standardized mathematical model and a high-performance distributed online task planning algorithm; the invention also provides a future beneficial distributed satellite online scheduling algorithm for emergency task arrival, and the algorithm comprises a distributed satellite online scheduling algorithm with beneficial bid invitation efficiency expectation and a distributed satellite online scheduling algorithm with beneficial bid invitation efficiency expectation. Therefore, the situation that low-income tasks arriving at the early stage occupy precious satellite imaging resources in the SOS-ET problem is avoided, and resources are reserved for high-income tasks at the later stage.

The invention provides a satellite imaging and data transmission joint scheduling method based on brainstorm optimization. The method comprises the following steps: generating an initial request population; adjusting the execution sequence of each request in the initial request population to obtain a target request population; determining a conflict request population corresponding to the current request in the target request population, and performing iterative optimization on the conflict request population through a niche-based brainstorm optimization algorithm, so that the current request and the requests in the corresponding conflict request population are successfully scheduled; and removing the current request and the conflict request corresponding to the current request from the target request population, and continuing to determine a conflict request population corresponding to the next request in the new target request population until the target request population is empty, so as to complete the joint scheduling of satellite imaging and data transmission. According to the method, the feasibility and the effectiveness of the algorithm can be remarkably improved, so that the joint scheduling of satellite imaging and data transmission is realized.