51 results about "Star catalogue" patented technology

The embodiment of the invention discloses an all-day and all-world time measurement method and device. A specific embodiment of the method comprises the following steps: constructing a short-wave infrared astronomical survey star catalogue; constructing a short-wave infrared astronomical geodetic survey star database according to the short-wave infrared astronomical survey star catalogue; optimizing the short-wave infrared astronomical geodetic survey star library to obtain an optimized short-wave infrared astronomical geodetic survey star library, and correcting atmospheric refraction errors in the optimized short-wave infrared astronomical geodetic survey star library; carrying out all-day fixed star point coordinate extraction on the shot multi-frame daytime star map to obtain fixed star point coordinates; and according to the star point coordinates of the fixed star, carrying out all-day astronomical observation world time calculation on the observation fixed star to obtain all-day world time. According to the embodiment, unified comparison of multi-period monitoring data is realized, and the engineering practicability of a monitoring result is improved.

The invention relates to the technical field of camera on-orbit calibration, in particular to a fisheye camera on-orbit calibration method based on a starlight vector, which comprises the following steps of: S1, acquiring a plurality of star maps observed by a fisheye camera on orbit, and extracting and denoising star points to form a star point set; s2, according to fisheye imaging distortion distribution, a star point located in an imaging center area is selected from a star point set, and a starlight vector is constructed based on image point coordinates of the star point in combination with star catalogue data subjected to space-time deviation and propagation path deviation correction; and S3, performing local geometrical relationship star point matching on the starlight vector in the step S2. According to the method, the multiple star maps observed by the fisheye camera in orbit are obtained and processed to form the star point set, so that the problems of poor in-orbit calibration applicability and low precision caused by the fact that most traditional fisheye camera calibration methods adopt a ground pre-calibration or space reference object arrangement mode are solved.

The application discloses a small-sized separated penetrator for in-situ detection of celestial bodies, and relates to the technical field of penetrator equipment, comprising an aluminum honeycomb buffer module, which comprises an external protective shell and an aluminum honeycomb, and has the beneficial effects that the application is provided with in-situ detection of high-speed penetration of celestial bodies, and discloses a small-sized separated penetrator, which comprises a planet soil penetration module and a star table detection module, and realizes autonomous separation in the impact penetration process, the star table module can realize star table detection and communication with an orbiter, the penetration module is internally provided with an energy storage device and an impact hammer, and can continue to penetrate and dive relying on the energy storage device after impact; the star table module is connected with the penetration module through flexible wires, and can supply power and signal transmission to the latter, the technology enables the penetrator with the modular characteristic to have the in-situ detection capability of planet soil profile, aims to expand the application mode of the penetrator for celestial body detection, and provides a scientific basis for the research of star table structures.

This invention designs a multi-scale star surface impact crater detection method, system, and medium. The method includes the following steps: S1: Acquire star surface images and segment them into image patches of different scales; S2: Construct multiple impact crater detection sub-models; S3: Train each sub-model using star surface image patches of different scales; S4: Input the segmented star surface image to be detected into each pre-trained sub-model to obtain the detection results; S5: Select the bounding boxes with high confidence and large area among all candidate bounding boxes of each impact crater as the final detection result for that impact crater. This invention can simultaneously identify impact craters of different scales in star surface images with high accuracy, especially improving the accuracy and efficiency of identifying small impact craters, providing more accurate and comprehensive data support for lunar science research, and promoting the in-depth development of lunar exploration and geological research.

The invention discloses a robot for detecting a narrow cave on a star catalogue, and belongs to the technical field of space robots. The defects that an existing star catalogue detection robot is large in size, complex in structure and incapable of adapting to narrow caves are overcome. The device comprises an advancing mechanism, a shell and a cave detection mechanism, and the shell is installed on the advancing mechanism and can be driven by the advancing mechanism to move; a mounting cabin is arranged at the front end of the shell, one end of the cave detection mechanism is mounted in the mounting cabin, the other end of the cave detection mechanism can extend out of or retract into the mounting cabin, and the cave detection mechanism can perform bending action so as to complete an omnidirectional detection task after the robot enters a narrow cave on a star catalogue. The method is mainly used for detecting the narrow caves on the star catalogue.

The present application relates to a kind of dark and weak target detection methods of wide-area astronomical image based on deep learning, belong to astronomical image processing technical field, including field of view division to original astronomical image, and pretreatment is carried out;Then the threshold segmentation label generation strategy based on star catalogue prior is established to generate label set;Deep learning semantic segmentation model is constructed and trained to obtain optimization model;With the astronomical image after pretreatment as input, output target segmentation map, and eliminate the connected domain target that does not conform to physical characteristics, based on the roundness feature of target area determination and separate fusion target, obtain the final mask of independent target;Based on final mask, the subpixel level center coordinates of each independent target are calculated using weighted centroid method, effectively improve the detection ability and measurement precision of low signal-to-noise ratio dark and weak target;While being able to adapt to the characteristics of astronomical data of high dynamic range, significantly improve target detection performance, especially in the extremely dark and weak target in signal-to-noise ratio 2 to 5 interval.

The application relates to a robot for exploring a narrow cave of a star table, belonging to the technical field of space robots. In order to solve the defects that the existing star table exploring robot is large in size, complex in structure and cannot adapt to narrow caves, the robot comprises a travelling mechanism, a shell and a cave exploring mechanism, the shell is installed on the travelling mechanism and can be driven to move by the travelling mechanism, the front end of the shell is provided with a mounting cabin, one end of the cave exploring mechanism is installed in the mounting cabin, the other end can be extended out of or retracted into the mounting cabin, and the cave exploring mechanism can perform a bending action to complete an omnidirectional exploration task after the robot enters the narrow cave of the star table. The robot is mainly used for exploring the narrow cave of the star table.

The invention belongs to the technical field of industrial automation, and particularly relates to a Healpix-based star catalogue homogenization segmentation and evaluation method. The method comprises the following steps: S1, acquiring original star catalogue data, and determining Healpix grid level parameters based on an expected subdivision degree of a user; s2, calculating a Healpix pixel index number of each celestial body by adopting a Healpix algorithm based on celestial sphere coordinates of each celestial body in a celestial sphere equator coordinate system contained in the original star catalogue data; s3, constructing a blank star catalogue, and constructing a homogenized star catalogue based on the celestial body set extracted by the sampling strategy and the Healpix pixel index number corresponding to each celestial body contained in the celestial body set; and S4, constructing a Uscore evaluation model, performing Uscore scoring on the homogenized star catalogue by using the Uscore evaluation model, and evaluating the uniformity of each celestial body in the homogenized star catalogue based on the Uscore score. According to the invention, an objective and quantifiable comparison reference is provided for the effects of different homogenization methods.

The invention discloses an embedded star catalogue data storage and query method oriented to a bare computer environment, relates to the technical field of embedded data query processing, solves the problem of mismatch between a DSP system structure and a star map query task in the prior art, and comprises the steps of star block storage, star block query, primary selection of star blocks in star block query and determination of navigation stars. In the star block storage, the GeoHash coding technology is adopted to take the star block as a primary key value, and a B + tree is adopted to store the star block in an easy-to-search form; a star map shot by an astronomical camera is preliminarily decomposed into primarily-selected star blocks in a partition mode, then corresponding storage star blocks in a bare computer environment are inquired respectively, and high flexibility and adaptability are achieved. The method is compatible with the GeoHash coding technology, parallel computing of a multi-core bare computer is facilitated, and the query speed can be doubled.

The application provides a kind of based on ClickHouse column database's massive star table data fast merging method and system, through reducing the complexity of spherical distance calculation and using equidistant grid division index establishment method, the merging process of multi-band star table data is accelerated;The application is aimed at the application scene of astronomical cross identification and star table merging and the data processing demand of CSST high performance, low delay, research uses column database to complete the storage, retrieval and identification process of massive star table data, has good use value, has wide application scene in astronomical data processing field, also provides a new idea and direction for astronomical data processing.

The star map recognition method based on radial features and interstellar angular distance relates to the field of star map recognition in astronomical navigation, solves the problems that the existing star map recognition algorithm has less number of stars to be recognized at one time, and the recognition speed and robustness are difficult to be compatible, and the method comprises the following steps: a navigation star table is made, radial recognition feature library and interstellar position relationship library are constructed according to the position distribution features of each navigation star and surrounding near neighbor stars; the interstellar position relationship library is used for storing the star number and radial ring number of the surrounding near neighbor stars of each navigation star; then, initial recognition and accurate recognition are carried out. In the process of matching by using the radial feature library, an angular distance error tolerance is set, and a weight value is set for each ring number, so that the star position noise has strong robustness. After the initial recognition, the accurate recognition is carried out, the surrounding near neighbor stars of the main star are used, and the method has strong robustness to false star noise and missing stars. The method realizes the recognition of multiple stars at one time, and improves the initial attitude solution accuracy.

The application discloses an astronomical cross-identification method for a heterogeneous many-core processor, and comprises the following steps: S1, obtaining the strip id of two star catalogs based on declination and the multi-node data distribution in strip units; S2, determining the number of heterogeneous many-core processors of each computing node and the maximum number of threads that can be simultaneously run by each heterogeneous many-core processor; S3, rearranging the star catalog data in each strip in strip units, and dividing the star catalog data into grids based on right ascension; S4, judging whether the right ascension span of each strip is too large during internal identification, so as to select the identification calculation of the CPU end in step S5 in a multi-thread parallel mode or the identification calculation on the heterogeneous many-core processor in step S6; S7, determining the identification selected result; and S8, obtaining the ID of a star body in two star catalogs respectively. The method can guarantee the calculation accuracy and integrity, improve the parallelism of the cross-identification algorithm and the use efficiency of the heterogeneous many-core processor, and realize the improvement of the overall calculation performance of the astronomical cross-identification.

The invention relates to a method (PREF) for referencing at least one artificial satellite (SAT) in a star catalogue (CTG), comprising a step of positioning at least one star projected onto a celestial sphere (SC). The method comprises: a step (E10) of obtaining coordinates (Oqd,) of an observed position of the at least one artificial satellite (SAT) and orbit parameters (TLE) of the at least one artificial satellite (SAT); a step (E50) of projecting the satellite (SAT) onto the celestial sphere (SC) in a viewing direction determined from the orbital parameter (TLE) and the observation position; -a step (E80) of recording the coordinates of the satellites (SAT) projected onto the celestial sphere (CS) into the star catalogue (CTG), in which the coordinates of the fixed star and of the at least one artificial satellite (SAT) are expressed in the same geocentric reference frame, referred to as fixed star catalogue reference frame.

This invention belongs to the field of industrial automation technology, and particularly relates to a method for uniform segmentation and evaluation of star catalogs based on Healpix. The method includes: S1: acquiring original star catalog data and determining the Healpix grid level parameters based on the user's desired subdivision level; S2: calculating the Healpix pixel index number of each celestial body in the original star catalog data using the Healpix algorithm, based on the celestial coordinates of each celestial body in the celestial equatorial coordinate system; S3: constructing a blank star catalog and building a uniform star catalog based on the set of celestial bodies extracted by a sampling strategy and the corresponding Healpix pixel index numbers of each celestial body contained in the set; S4: constructing a U_score evaluation model and using the U_score evaluation model to score the uniform star catalog, and evaluating the uniformity of each celestial body in the uniform star catalog based on the U_score score. This invention provides an objective and quantifiable benchmark for comparing the effects of different uniformization methods.

The invention relates to the technical field of computers, and discloses a PSF-guided adaptive sparse Patch Transformer-based astronomical faint target detection method and system. The method comprises the following steps: inputting an astronomical image for preprocessing; dynamically acquiring and calibrating a point spread function (PSF) parameter; generating an adaptive sparse Patch based on PSF parameter guidance, and generating a sparse attention mask; feature extraction is carried out based on an adaptive sparse Patch Transform, a feature interaction weight is calculated through a multi-head sparse self-attention layer, and PSF parameter cross-modal attention is fused; the method comprises the following steps: performing target detection and preliminary screening, generating candidate targets by adopting a double-stage detection head, removing false alarms through PSF parameter form verification, outputting a preliminary screening result for post-processing optimization, removing fixed stars through star catalogue matching or configuration matching, performing multi-frame trajectory association by adopting a multi-hypothesis tracking method, and executing sub-pixel positioning and star magnitude calibration. And constructing a quality scoring system and outputting a standardized result. According to the invention, both the detection precision and the calculation efficiency can be considered, and the cross-equipment adaptation capability is realized.

The application discloses an explainable attribution method and system based on a star atlas semantic segmentation model, a device and a storage medium, and belongs to the technical field of deep space exploration image processing. The star atlas image is subjected to gray processing and gradient calculation, and the image is divided into super-pixel regions based on a gradient minimum strategy; a regional-level topological structure diagram is constructed, and node links are established based on spatial adjacency and brightness gradient similarity; the structural importance of each region is calculated, a center point of a mask is sampled, a directional elliptical Gaussian perturbation mask set is generated according to a gradient main direction angle; the perturbation mask is applied to the original image, and a semantic segmentation model is input to calculate a saliency score; and saliency information is propagated in the topological structure diagram based on a graph attention mechanism, and a structural saliency explanation diagram is constructed. Through regional division and topological propagation of terrain perception, model explanation of spatial continuity and terrain consistency is realized, and the technical problems that a traditional method ignores the physical characteristics of terrain structure and lacks a propagation path description are solved.

The application discloses an astronomical cross-identification confidence calculation method for memory access optimization, and steps are as follows: S1, flattening the astronomical cross-identification result into a one-dimensional main source index array and a one-dimensional candidate source index array; S2, constructing an offset array; S3, respectively constructing a plurality of columnar one-dimensional continuous celestial body attribute arrays of main star table celestial bodies and candidate star table celestial bodies; S4, generating an unnormalized logarithmic score array through candidate pair level linear scanning calculation; S5, obtaining the normalized probability of each candidate pair in a candidate group and the total confidence of the candidate group through candidate group level segmented reduction normalization; S6, judging based on a set threshold value, and outputting a candidate pair with high reliability; the method solves the problems of low memory access efficiency and memory redundancy in astronomical big data calculation under the premise of keeping 99.9% of the decision consistency rate of the traditional method, reduces the data structure redundancy caused by complex nested objects, and improves the advantages of memory access and calculation efficiency under the pressure of large-scale candidate bodies.

The present disclosure provides a star field geometric calibration method considering space-time decoupling and non-steady imaging, which comprises: constructing a star point extraction operator with star motion compensation function according to the GAIA star catalog, the optical remote sensing satellite attitude performance catalog and the satellite adapted star field, to identify star points based on the star field generated satellite image field star map features, to obtain star control points, to make astronomical correction on proper motion, parallax and aberration in star coordinates, to obtain observable limit stars and star imaging window values according to the point spread function PSF of the image optical system, to adaptively weight the reliability of star observation coordinates, to construct an adaptive distortion model of camera interior orientation elements, to correct the attitude stability under the non-steady imaging condition of the satellite according to the star control points, to construct a star field geometric calibration model, and to solve the star field geometric calibration model based on the random sampling consistency method and the partial least squares method to obtain the geometric calibration parameters.

The invention relates to a sliding window opening and closing mechanism for star catalogue detection, and belongs to the field of star catalogue detection. The window body assembly is horizontally arranged; the driving assembly is axially and horizontally arranged on the side wall of the window body assembly; the guide assembly is axially and horizontally arranged in a frame of the window body assembly; the cover body assembly is of a rectangular plate-shaped structure; the cover body assembly covers the upper surface of the window body assembly; the dustproof assembly is arranged at the joint of the cover body assembly and the window body assembly; the cover body assembly is in butt joint with the driving assembly, the driving assembly drives the cover body assembly to move horizontally relative to the window body assembly, and opening and closing of the window body assembly are achieved. The bottom of the cover body assembly is matched with the guiding assembly, and when the window body assembly translates, guiding assistance is provided through the guiding assembly; the position monitoring assembly is arranged in a frame of the window body assembly; the device can bear large mechanical loads, is opened and closed repeatedly in a wide-temperature range and star surface floating dust environment, has dustproof and heat preservation functions, and has the advantages of being diversified in function, high in environmental adaptability, simple in structure, high in reliability and the like.

This invention provides a micro-low gravity field landing simulation test device based on a vertical near-zero stiffness mechanism, including a truss, a linear module, electromagnets, a probe simulator, a zero-stiffness mechanism, a companion vehicle, and a simulated star catalog. The truss is mounted on the simulated star catalog, with a guide rail laid in the middle of the catalog. The linear module is mounted on the truss directly above the guide rail, and an electromagnet is mounted on the moving block of the linear module. The linear module can be connected to the probe simulator via the electromagnets. The probe simulator is mounted to the companion vehicle via the zero-stiffness mechanism, and the companion vehicle can move on the guide rail. This invention is applicable to landing buffer ground tests for lunar, Martian, and other asteroid probes, providing a high-fidelity, full-physics simulation simulator test for landing leg landings, especially active leg soft landings.

This invention relates to the field of navigation technology, and more particularly to a multimodal star map recognition method. The method involves capturing a full-coverage image of the target sky region to obtain multiple star maps containing star targets. The star catalog is then divided into sub-catalogs, and both the star map and sub-catalogs are further divided into grids. The star map and sub-catalogs are encoded separately to obtain feature vectors. A coarse matching process is performed on the two feature vectors, and the sub-sky regions corresponding to the coarsely matched feature vectors are marked. A triangulation algorithm is used to finely identify the marked sub-sky regions, finding the sub-catalogs that match the current star map, and determining the navigation stars corresponding to the star targets in the current star map. The process is repeated by changing the star map until navigation stars corresponding to the star targets in all star maps are obtained. This invention combines the advantages of grid algorithms and triangulation algorithms, ensuring high recognition speed while avoiding interference from false targets, thus improving the recognition rate of star map recognition.

This invention relates to a computer-implemented method of generating an article of manufacture. The method comprises the steps of receiving date and location data relating to a user event and thereafter accessing a star catalogue, determining the position of the stars relative to the date and location data, and projecting the star positions onto a two-dimensional (2D) plane. Once the star positions have been projected onto a 2D plane, the method comprises the steps of generating a computer-readable file for the star positions, providing the file to a laser engraving machine, and the laser-engraving machine engraving the article of manufacture according to the computer-readable file. The article of manufacture is preferably an item of jewellery such as a pendant. The method provides an efficient and cost-effective way of manufacturing a bespoke, high value item.

The application discloses a kind of fast star map identification method and system based on adaptive star table, which comprises the following steps: using block, hierarchical extraction method to generate GAIA star table file from original GAIA star table data;GAIA star table file and Tycho2 star table file are read into memory, and star information is stored in partition, and star table index is established;The field of view information of input optical image is input, and according to the input information, the type of star table to be used is selected;According to the pointing and field of view information of input optical image, the required star information is read according to the star table index;Fast sorting method is used to sort image stars and star table stars, and the brightest multiple stars are selected for fast star table matching;Through the voting of matching result, the star mapping with the highest matching accuracy is found out as the successfully identified star.The application is suitable for optical image processing research field, and can be used for fast astronomical positioning of space debris and near-earth asteroids, to gain valuable time for emergency response of space events.

This invention discloses a star map recognition method, apparatus, and related equipment based on an improved K-vector. The method includes calculating the elevation angle of the current observation position relative to each star in the star catalog, filtering the stars in the catalog based on the elevation angle to establish a temporary navigation star database; taking any two stars within a preset angular distance range in the temporary navigation star database as a pair, calculating the angular distance of each pair, and constructing an angular distance table based on the cosine value of the calculated angular distance; dividing the angular distance table into equal regions, connecting the beginning and end of each region with straight lines to obtain multiple segmented straight lines; constructing a K-vector lookup table; obtaining the target angular distance between the target navigation star pairs to be identified, and calculating the matching range of the target navigation star pairs in the angular distance table based on the target angular distance, a preset measurement error, and the K-vector lookup table. This method effectively improves the star map recognition speed.

The invention relates to a method for monitoring moving space objects, the method being implemented by a monitoring system (100), comprising the following steps: - sliding acquisition of at least one stack (12, 12') of image frames of space along a known trajectory on the celestial sphere, each stack of frames comprising at least three frames, each frame being recorded with an exposure time of less than 1 second, - detection, in the field of view, of a plurality of stars (14, 55), preferably several dozen, - estimation of the coordinates of the detected stars, - identification of the detected stars with a list of reference stars extracted from a stellar catalog, comprising several thousand reference stars, - establishment of a coordinate relation linking the celestial coordinates to the coordinates in the frames of the stars present in the list of reference stars, - detection of at least one moving space object (15,56) in at least one stack and estimation of their dated frame coordinates, - conversion of the dated frame coordinates of each detected moving space object into coordinates on the celestial sphere by the coordinate relation. Figure for abbreviation: [Fig. 1 ],

The invention discloses a method and a system for searching a quasi-simultaneous time window of a star catalogue database target source, and relates to the technical field of astronomical observation data processing. The method comprises the following steps: acquiring parameters such as a starting date, an ending date, a target wave band and a source, reading source data containing information such as an observation date, a source name and a wave band, converting the date into an ordinal date format, traversing in a specified time range, and searching observation entries meeting conditions by adopting an advanced data screening mechanism; and updating entries by adopting a later-in first-out strategy to retain latest data, and finally outputting a screening result and time window parameters (such as window length and starting and ending dates). The system supports various scanning strategies (FIFO / LIFO), automatically updates the observation era, calculates the size of the time window, improves the data screening efficiency and the time window calculation accuracy, can efficiently recognize observation data meeting specific conditions in the quasi-time window, and is suitable for multi-condition data processing in the fields of astronomical observation and the like.

This invention discloses a lightweight star catalog target detection method and system. The method includes: constructing a student model, which employs a lightweight feature extractor and a Transformer decoder with width and depth pruning; constructing a teacher model, which employs an un-lightweight feature extractor and a Transformer decoder without width and depth pruning; adjusting the parameters of the teacher and student models, calculating the value of the loss function, stopping the iteration when the value of the loss function is minimized, and obtaining trained teacher and student models; and using the trained student model to perform lightweight star catalog target detection. The advantages of this invention are: lightweight, low computational complexity, and the ability to achieve 3D position detection of star catalog targets.

The present application relates to a kind of wide-field sky survey star catalogue construction method, device, medium and electronic equipment, comprising: the original image of the observed celestial body photographed is preprocessed, obtains the local star catalogue of single exposure of the original image;It is compared with standard star catalogue and is solved, obtains the conversion relationship from image pixel coordinate to celestial sphere coordinate and solving error;According to the morphological parameters of celestial body, the transformation rate matrix of the celestial sphere coordinate of celestial body, solving error and celestial body constructs observed covariance matrix under celestial sphere coordinate system, and the Mahalanobis distance of the matrix and position difference vector is calculated to determine that observed celestial body is target celestial body;After screening and merging calculation to the multiple observation data of target celestial body in a certain time period, the final coordinate, flow and error matrix of target celestial body are obtained.The present application utilizes covariance matrix to carry out matching and merging, avoids that the star point of elongated edge is mis-matched to adjacent celestial body, significantly reduces false positive rate and false negative rate.

The application discloses a star selection method and system based on an improved adaptive genetic algorithm, and relates to the technical field of image positioning and registration. The technical points of the application comprise: preprocessing obtained basic star table data; inputting the preprocessed basic star table data into a selection model based on an improved genetic algorithm for selection; using a binary mode for coding and carrying out population initialization; calculating individual fitness according to a fitness function, and calculating the crossover and mutation probabilities through an improved adaptive adjustment strategy according to the calculated fitness values, and then carrying out selection, crossover and mutation operations according to the calculated crossover and mutation probabilities; decoding the genes and calculating constraint conditions; and outputting a star selection result when the maximum number of iterations is reached and all the pointing field information has been optimally selected. The application can select uniformly-distributed stars in the premise that the number of stars in a given imager field of view is known, so as to provide the imager with observation and correct the pointing of the imager.

The invention discloses a star catalogue intelligent system failure prediction method and device based on a time sequence attention mechanism, and relates to the technical field of fault detection, and the method comprises the steps: receiving telemetry data of operation related parameters of a star catalogue intelligent system, carrying out the preprocessing, and obtaining a star catalogue intelligent system operation telemetry data set, dividing a star catalogue intelligent system operation telemetry data set into a training set and a test set; inputting the training set of the operation telemetry data set of the star catalogue intelligent system into a pre-established time sequence attention mechanism model, and outputting to obtain a trained time sequence attention mechanism model; and inputting a test set of a star catalogue intelligent system operation telemetry data set into the trained time sequence attention mechanism model, outputting to obtain a system failure probability prediction result, and finally realizing accurate output of the failure probability.