74 results about "Remote sensing satellite" patented technology

This invention proposes a method for correcting abnormally high values ​​in remote sensing satellite nighttime light imagery, belonging to the field of remote sensing image processing technology. Addressing the problem of low accuracy in existing nighttime light image correction techniques, this invention acquires remote sensing satellite nighttime light imagery and preprocesses it; acquires target area boundary data and adjusts the preprocessed light imagery; statistically analyzes all light values ​​in the adjusted light imagery to identify abnormal light value intervals; performs isolated analysis on the light values ​​within the abnormal intervals to determine abnormally high values; classifies the abnormally high values ​​into at least one distribution combination based on their distribution pattern; uses a local mean fitting method to calculate correction values ​​based on the normal light values ​​surrounding the abnormally high values; and replaces each abnormally high value with its corresponding correction value to generate a corrected nighttime light image of the target area. This invention achieves high accuracy in nighttime light image correction.

This invention provides a method for creating an infrared small target detection dataset, including S1, segmenting a satellite infrared remote sensing image to obtain at least two background images with different environments; S2, creating simulated target points; S3, adding simulated target points to the background images and fusing them with the background images; and S4, expanding the dataset of simulated target points. This invention uses space-based remote sensing satellite images as a background, providing a large data foundation for remote sensing infrared small target detection; it achieves diversity in complex backgrounds, motion characteristics of small targets, morphological diversity of small targets, and type diversity of small targets, making the simulated data closer to the required real data and greatly enriching the content of the dataset.

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 application discloses a satellite data optimization method and system based on two-stage decision, and a processing system, belongs to the technical field of remote sensing satellite data processing, and solves the technical problems that the existing technology has low manual selection efficiency and cannot select optimal data. The application obtains a map selected range vector and a satellite standard scene to be selected, attaches a single scene contribution area of each satellite standard scene to be selected and a sorting value field of a pre-computed vector spliced based on priority to an attribute table of the corresponding satellite standard scene to be selected, performs twice sorting on the satellite standard scene to be selected, adopts a first-stage global coverage decision and a second-stage local optimal decision, and obtains optimal satellite data. The application is used for selecting optimal data from selected data on the basis of unchanged coverage area, minimizing delivery area, and greatly improving the selection efficiency of users and data processing personnel.

This invention discloses a method and system for resilient resource reconfiguration in a multi-task concurrent remote sensing satellite network, relating to the field of satellite remote sensing communication technology. The method involves gridding the target area to obtain multiple grid targets; determining the set of visible time windows for the satellite to be planned relative to these grid targets; determining the current local observation status data based on pre-acquired attribute data, current task status data, and the set of visible time windows for the satellite to be planned; inputting the current local observation status data into a pre-trained target policy network, which outputs the next target action for the satellite to be planned. The next target action can be an observation action, an active idle action, or a passive idle action. Active idle actions can handle sudden tasks. This invention overcomes the limitations of existing methods that rely on the assumption of "batch prediction" or "static insertion" of sudden tasks, achieving online incremental scheduling capabilities for continuous, random, and streaming sudden events.

The present application relates to the satellite detection technical field of space target, specifically speaking, through the load characteristic, the orbit characteristic of the earth remote sensing satellite and the orbit characteristic of the high orbit target, the high orbit space target detection planning method based on the earth remote sensing satellite is proposed, using this method generates the imaging opportunity, calculates the relative angular velocity of the high orbit space target on the focal plane of the earth remote sensing satellite;And the attitude direction is calculated to carry out high orbit space target observation, both can enhance the brightness of the detection target and realize the detection of the star target, and long arc segment monitoring can be realized to meet the demand of space-based orbit determination to dense measurement, has the wide application scene.

This invention relates to the field of remote sensing satellite orbit control technology, and discloses a satellite autonomous pipeline control method based on differential interferometric SAR imaging missions. The method includes: acquiring initial satellite orbit parameters; employing a multi-objective optimization algorithm for orbit optimization under a high-order gravity field; sampling and constructing a reference orbit point set; calculating orbit control deviations based on the actual orbit and the reference orbit; generating orbit control triggering rules and avoidance strategies through ground system simulation; executing orbit control strategy generation and control onboard system; and evaluating orbit control effectiveness and the evolution trend of orbit control deviations through the ground system. Existing technologies mainly rely on ground command injection, making it difficult for satellites to achieve efficient autonomous orbit control when performing heavy-orbit differential interferometric SAR imaging missions, and hindering the decoupling of orbit control and imaging tasks. This invention improves the efficiency and autonomy of orbit control, the execution efficiency of imaging missions, and the safety of on-orbit operation by constructing a closed-loop control system encompassing satellite-ground collaboration, strategy formulation, command execution, and effect evaluation.

The application discloses an online satellite map-based photovoltaic field area business management and control system, and belongs to the technical field of photovoltaic power station operation and management and control, and comprises the following: a high-precision positioning layer, which comprises a plurality of Beidou positioning terminals, the Beidou positioning terminals are arranged on operation personnel and inspection vehicles, and are used for collecting and uploading position data in real time; a dynamic satellite map layer, which is provided with customized field area satellite image base maps by high-resolution optical remote sensing satellites; and a business data layer, which is constructed on a light-weight GIS platform and comprises a static equipment library and a dynamic operation library. According to the application, the Beidou high-precision positioning, high-resolution satellite remote sensing and light-weight GIS platform are deeply fused, a digital and visual management and control data base covering the whole field area is formed, and the integration application of multi-source data is realized, so that the problem of single information caused by lagging update of traditional drawing account and information dispersion is effectively solved, and unified, real-time and accurate data support is provided for photovoltaic field area business management and control.

This invention relates to a method and system for fire spread prediction and emergency early warning based on on-board computing, belonging to the field of remote sensing satellite technology. The system completes fire point identification, environmental parameter extraction, lightweight dynamic spread simulation, and multi-frame fire line spatiotemporal sequence compression encoding on-board, and transmits the data instantly to ground terminals via BeiDou short message service, achieving an emergency closed loop of "on-board imaging, on-board computing, on-board prediction of future trends, and on-board transmission." This overcomes the problems of existing technologies where forest fire spread prediction relies on ground station processing, resulting in poor timeliness, and the inability to receive early warning information in remote areas lacking communication links.

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 proposes a satellite-ground collaborative mission management method for Earth observation space cloud services, belonging to the field of satellite application and management technology. This method first identifies three main roles in satellite-ground collaborative mission management; secondly, it selects a management mode based on the urgency and complexity of the needs; then, it generates mission plans and instructions for the remote sensing satellite constellation and telemetry and control station network, and executes the missions; finally, after mission execution, data is received through the space edge cloud service center and the ground station network, thereby achieving management under a cloud architecture. This method overcomes the shortcomings of existing methods, such as difficulty in coordinating satellite-ground missions, difficulty in coordinating multiple types of users, and slow data transmission speeds. It improves the collaborative management performance of remote sensing satellite missions under a satellite-ground integrated system and can meet the application requirements of rapid, accurate, and comprehensive remote sensing satellite mission planning and management.

The present application belongs to the technical field of marine remote sensing and water quality monitoring, and discloses a suspended sediment concentration remote sensing inversion method and system based on TSM-SSC conversion. The method is based on surface reflectance data obtained by multi-source remote sensing satellites, selects TSM remote sensing products with consistent acquisition time, and combines with field SSC observation data to construct a paired sample set; by constructing and screening multispectral features, a remote sensing inversion model is trained with TSM as the target, and the model is preferably a random forest model (average R 2 ≈0.75); a TSM-SSC conversion equation is established based on the TSM inversion result and the field SSC observation value, and batch inversion is performed on long-time sequence remote sensing image data to generate suspended sediment concentration spatiotemporal distribution products. The present application improves the stability and applicability of suspended sediment concentration remote sensing inversion, and enhances the inversion capability for complex hydrodynamic conditions and high turbidity water bodies.

This invention belongs to the field of low-Earth orbit remote sensing satellite technology and provides a method and system for inter-satellite phase design based on sensor field-of-view matching. The method includes: observation and positioning to obtain the characterization of inter-satellite phase design input variables; calculating the upper and lower limits of the inter-satellite phase difference based on the characterization of the inter-satellite phase design input variables; determining the range of inter-satellite phase difference values; and outputting the phase difference. This invention solves the problem of field-of-view matching during satellite relay, improving the accuracy of relays. It further considers satellite sensor field-of-view matching when satellites have a cooperative relationship, making the problem more targeted to specific scenarios. It is applicable to applications such as Earth remote sensing observation and space debris observation, and is suitable for various sensors, including optical and microwave sensors. It can provide direct guidance for the design of various specific constellation schemes with inter-satellite relay cooperation.

The application discloses a kind of dual-target collaborative multi-satellite resource allocation methods based on spatial dispersion, effectively solve the problem of inconsistent specification in capability description, difficult calculation in multi-satellite resource allocation under large-scale remote sensing satellite scene.The method comprises the following steps: first, the earth surface is dispersed into grid, precalculates satellite coverage capability and is mapped to grid, realizes uniform description of coverage capability;Second, a satellite coverage capability master table is constructed with grid code as the primary key, for efficient retrieval;Finally, based on the master table, with optimal task completion time as the main target, the lowest energy consumption as the secondary target, the task completion time is compressed through time optimization stage, the total energy consumption is reduced under time constraint in energy consumption optimization stage, and the conflict of dual targets is balanced by means of dynamic relaxation mechanism, to generate multiple optimization schemes, realize the efficient allocation of large-scale remote sensing satellite resources.

This invention proposes a method and system for remote sensing satellite orbit design based on multi-parameter fuzzy constraints. The method includes: receiving input orbit boundary constraints and design constraints; calculating a series of information about the corresponding orbit based on the altitude range, pixel resolution, revisit constraints, and number of mosaic operations for the sun-synchronous return circular orbit; calculating relevant information that can be directly filtered by subsequent design constraints based on the candidate orbit parameters; filtering the directly filtered relevant information using imaging angle constraints, swath width constraints, and integration time constraints; and filtering the orbit using latitude constraints, marking results that meet and do not meet the constraints. This invention integrates and coordinates multi-domain knowledge related to orbit design and the fragmented steps of orbit design, significantly improving the overall efficiency of satellite design.

A remote sensing satellite data transmission subsystem based on multi-stage noise suppression comprises a data transmission integrated intelligent terminal, a multi-stage high-suppression-performance channel filter, an adjustable suppression degree phased array antenna, power supply and control equipment; the signal output by the data transmission integrated intelligent terminal is transmitted through the adjustable suppression degree phased array antenna after being filtered by the multi-stage high-suppression-performance channel filter; the power supply and control equipment is used for power supply and data transmission with the data transmission integrated intelligent terminal and the adjustable suppression degree phased array antenna respectively; the multi-stage high-suppression-performance channel filter suppresses the sensitive frequency band of the data transmission subsystem through its own multi-stage coaxial cavity and tuning screw; the adjustable suppression degree phased array antenna suppresses the sensitive frequency band of the data transmission subsystem by setting resonators in its own filtering module.

This invention discloses an image decoding system with anomaly detection and self-recovery mechanisms, belonging to the field of image processing technology. The system receives compressed data and sends decoded data through an external interface, and an external storage module caches the compressed and decoded data. The decoding module reads compressed data frame by frame to achieve frame-by-frame decompression, and uses a frame header flag signal and decoding timeout mechanism to achieve frame reset, clearing residual decoding state from the previous frame to achieve self-recovery of the decoding state during the frame cycle. During decoding, the system verifies the bitstream length information and counts the number of decoded pixels in real time, performing padding or discarding operations based on abnormal numbers to minimize the decoding error range. The anomaly diagnosis module performs anomaly reset based on the anomaly detection field of the decoding module when the system's abnormal state meets the reset conditions. This invention achieves anomaly detection and self-recovery "seamlessly" during decoding, providing an efficient, stable, and reliable decoding solution for scenarios with stringent real-time requirements, such as streaming media and remote sensing satellite imagery.

The application provides a kind of low-orbit satellite constellation-oriented computing resource arrangement method, system and equipment, it is related to satellite communication technical field, including: low-orbit satellite receives remote sensing satellite in current time slot under the task set generated, and the computing resource arrangement problem of task set is decomposed into task scheduling subproblem and resource allocation subproblem;Low-orbit satellite models task scheduling subproblem as Markov decision process, utilizes the scheduling strategy network based on deep reinforcement learning to solve Markov decision process, to determine the target low-orbit satellite corresponding to task, and issues task to target low-orbit satellite;Low-orbit satellite models resource allocation subproblem as convex optimization process, utilizes Lagrange multiplier algorithm to solve convex optimization process, to allocate target computing resource for the task received by low-orbit satellite.The application can significantly improve the problem of task demand diversification, satellite resource limited heterogeneity and satellite load imbalance in low-orbit satellite constellation.

This invention discloses a deployable device for a large secondary mirror of a space optical remote sensing camera, comprising: several flipping mechanisms and several unfolding mechanisms; wherein the flipping mechanisms are stacked sequentially, and adjacent flipping mechanisms are connected by unfolding mechanisms; each flipping mechanism includes an upper flipping plate and a lower flipping plate; the lower end face of the unfolding mechanism is connected to the upper flipping plate of the flipping mechanism below it, and the upper end face is connected to the lower flipping plate of the flipping mechanism above it; when the flipping mechanism is unfolded, the upper and lower flipping plates are arranged vertically; when retracted, the upper and lower flipping plates are arranged parallel to each other; the unfolding direction of the unfolding mechanism can rotate 90 degrees. This invention can realize the large aperture, long focal length, lightweight, and two-dimensional planar unfolding of a space optical remote sensing camera to meet the spatial resolution requirements of remote sensing satellites in the field of space remote sensing.

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 invention discloses a remote sensing satellite network security situational awareness method and system with a dual prevention mechanism. The method includes: acquiring multi-source heterogeneous data from a remote sensing satellite ground system network; generating a structured dataset through cleaning, denoising, and standardization; recording network assets using an asset identification algorithm based on the structured dataset; and generating a risk heatmap of the network assets using a Bayesian network model and entropy weighting method; detecting abnormal traffic and behavior using a deep learning model based on the risk heatmap and the structured dataset; and generating a priority-marked list of vulnerabilities using a general vulnerability scoring standard and a threat intelligence database; and constructing a dynamic security situation map using a graph database and community discovery algorithm based on the risk heatmap and the vulnerability list. This invention improves the real-time fusion capability of multi-source heterogeneous data, enhances the dynamic attack chain reasoning mechanism, and enables collaborative decision-making for risk warning and vulnerability management.

This invention discloses a multi-source remote sensing identification method for allergenic wormwood based on FSDAF spatiotemporal fusion. It integrates high-resolution remote sensing satellite imagery (optical and radar images) combined with UAV data and multi-source data from ground meteorology and vegetation monitoring. Utilizing advanced technologies such as FSDAF spatiotemporal fusion, it constructs an identification model for allergenic wormwood based on the spectral, texture, density, and geometric characteristics of the plant's growth period. This model identifies severely invaded areas of allergenic wormwood, achieving high-precision automatic identification and spatial distribution mapping of allergenic wormwood over large areas. Based on the identification model and growth status analysis model, it accurately analyzes the distribution area and severity of damage of allergenic wormwood within different administrative divisions, providing a basis for implementing targeted wormwood control measures.

This invention discloses a semi-physical simulation system and method for collaborative remote sensing satellite constellation systems. The semi-physical simulation system includes a physical platform, a digital system, a high-speed hardware interface conversion device, and a time synchronization device. The time synchronization device is used to perform time calibration on each component of the physical platform and each module of the digital system. The physical platform is used for bidirectional data communication with the digital system, receiving target imaging position information sent by the high-speed hardware interface conversion device. The digital system obtains information processing and fusion results and sends the target imaging position information obtained from payload detection simulation to the high-speed hardware interface conversion device. The semi-physical simulation system of this invention can achieve time consistency between the digital system and the physical system in the semi-physical simulation system, and can be compatible with different target environment simulation tasks and different digital model inputs.

This application relates to a method and apparatus for segmenting road target instances in remote sensing images. The method includes: acquiring remote sensing images of the target to be detected by a remote sensing satellite; preprocessing the remote sensing images through an input module; extracting features from the preprocessed image using a backbone network; fusing the extracted multi-resolution features using a dual-stream feature pyramid in the neck region; dividing the head region into two branches: a detection head and a prototype; and performing category prediction and instance segmentation refinement tasks on the image entering the head region; outputting the high-resolution remote sensing image road target instance segmentation result; using a DMH-YOLO model to perform instance segmentation on the target remote sensing image to determine the target objects in the target remote sensing image; and using the Darknet-53 architecture framework in the backbone network and incorporating a C2f module to implement a residual learning mechanism. This invention can accurately identify and segment small target objects.

The application discloses a kind of satellite remote sensing image data fast statistical methods, it is related to remote sensing satellite data processing technical field, method includes: obtaining the list of all satellite image data files to be processed;All data file names are sorted, and file name sorting sequence array is obtained;File name sorting sequence array is shifted, and file name shift sequence array is obtained;File name sorting sequence array and file name shift sequence array are compared bit by bit, and repeated file name set and no repeated file name set are obtained;In the list of all satellite image data files, each file in repeated file name set is counted, and no repeated file name is combined, and the statistical result of the mass data file of remote sensing satellite is determined.The application can realize the efficient identification and statistics of repeated files in the mass data of remote sensing satellite, solve the problems of low efficiency, long time consumption and easy to collapse of traditional loop traversal method.

This invention discloses a method for calculating inter-satellite communication windows for remote sensing satellite missions, belonging to the field of satellite communication technology. The technical implementation steps are as follows: Setting the orbital parameters and simulation time period of the satellite constellation; establishing an inter-satellite communication geometric constraint model considering Earth obstruction and maximum distance limitations; based on orbital dynamics principles, analytically deriving the upper bound of the distance change rate and the upper bound of the line-of-sight tangent point altitude change rate, characterizing the relative motion of the constellation; initializing the simulation time; calculating the geometric margin based on the current relative positions of the two satellites; and calculating the adaptive safety step size for the current time in conjunction with the aforementioned upper bounds of the change rates; if a visibility state jump is detected, numerical iterative search is used within the step size interval to lock the window boundary. This invention introduces dynamic boundary parameters to construct an adaptive step size mechanism, significantly reducing the number of invalid calculations while ensuring the accuracy of communication window calculation, thus significantly improving the computational efficiency of inter-satellite link planning.

The application discloses an arbitrary area surface array coverage imaging path planning method based on angle mapping and belongs to the field of remote sensing satellite splicing imaging. The method comprises the following steps: according to the imaging start time extrapolation satellite orbit parameters of the target area mapping to the attitude angle phase plane, the initial attitude angle pointing to each vertex of the target area is calculated; whether the target area is a concave polygon is determined according to the polar angle and distance from the geometric center of the target area to each vertex, if yes, the vertex with an inner angle greater than a preset threshold is deleted and the remaining vertex is used to construct a convex polygon covering the original area; grid division and path planning are carried out according to the initial attitude angle of each vertex of the target area and the number of vertices of the convex polygon, and the initial imaging path and the initial time sequence of the satellite are obtained; the initial imaging path and the initial time sequence are updated and checked, and the final imaging path with the highest coverage efficiency of the target area is obtained. The application can improve the imaging efficiency of the remote sensing satellite.

The application discloses a kind of based on ASU-Net's road weak information extraction method and system, it is related to image feature identification technical field, method includes: using encoder-decoder structure to construct road extraction network model ASU-Net, wherein, using ResNet-50 as encoder, and introducing hollow convolution module in encoder, introduce zonal convolution module in decoder;Remote sensing satellite road image is input into ASU-Net model, and the encoder is sampled to the image, while the receptive field is expanded by the parallel cascade branch of the preset hollow rate in hollow convolution module;The features learned by the encoder are up-sampled by transposed convolution, while the zonal convolution module is used to extract road linear features using four different directions of zonal convolution.The technical scheme of the present application improves the performance of road extraction in complex environment, achieves a better balance between precision and recall, and improves the accuracy of road extraction.