12 results about "Star chart" patented technology

The application discloses a method for improving star detection capability by fusing energy and polarization information, and belongs to the technical field of star sensor detection. In order to solve the problem of insufficient star detection capability of a near-earth space all-time star sensor in a strong atmospheric background light interference environment, the star sensor integrated with a micro-polarization plate array is used to obtain four gray star images through one-time exposure of the sky; a polarization degree calculation value is calculated to obtain a polarization degree star image and determine a sky background polarization degree; a polarization degree segmentation threshold is set; the polarization degree star image is subjected to threshold segmentation to obtain a polarization degree star image segmentation result; a weight coefficient is determined according to the ratio of the radiant energy of the star and the sky background; the sky background polarization degree is compared, and the gray star image or the accumulated star image with the highest signal-to-noise ratio is subjected to weighted processing based on different conditions to obtain a final high signal-to-noise ratio star image after processing. The star detection capability is effectively improved.

This disclosure presents an intelligent star map recognition method, apparatus, device, and medium based on multi-network mapping. One specific implementation of the method includes: extracting features from a star image using a pre-constructed star feature extraction network and an extracted set of star information to generate feature information for each node; constructing a graph network from the star information set based on star-sensor camera parameters to generate a star network structure; performing star map recognition on the star network structure using a pre-constructed star map recognition network model, the feature information for each node, and prior attitude information to generate a star recognition result; caching the star recognition result; and outputting the star recognition result to the spacecraft's attitude control system in real time. This implementation can ensure a high star recognition rate while significantly reducing the storage complexity of the feature library and the computational complexity of the algorithm, and exhibits stronger robustness to changes in the number of stars and noise in star magnitude information.

This invention discloses a large field-of-view automatic calibration device and method for pre-calibrating star arrays, solving the problem that existing star array pre-calibration methods cannot directly measure the relative spatial angle relationship between simulators of distant single stars. The calibration device includes a turntable, a calibration unit disposed at the working end of the turntable, and a host computer disposed outside the turntable. The calibration unit includes a mounting base and a starlight detection module, a data fusion module, and a relative spatial angle calculation module disposed within the mounting base. The mounting base is detachably connected to the working end of the turntable, and its side wall has a mounting through hole. The incident end of the starlight detection module is opposite to the mounting through hole, and its signal output end is electrically connected to the first signal input end of the data fusion module. The second signal input end of the data fusion module is connected to the signal output end of the turntable, and its output end is connected to the input end of the relative spatial angle calculation module. The relative spatial angle calculation module is electrically connected to the host computer.

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.

The present application relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. The method first acquires star and navigation satellite images by shooting a star map, and then calculates the attitude of the camera relative to the geocentric inertial coordinate system by identifying and processing the stars, and further determines the coordinates of the navigation satellite in the coordinate system. Through coordinate conversion, the angle information of the navigation satellite relative to the observer in the earth coordinate system is obtained. The optical angle measurement information is fused with the attitude, speed and position information output by the inertial navigation system, the Kalman filter state equation and observation equation are constructed, and finally the real-time high-precision solution and update of the observer's position are realized. The present application combines the accuracy of optical angle measurement, the limited distance reference of astronomical navigation and the autonomous continuity of inertial navigation, effectively improving the navigation and positioning accuracy and reliability under complex environment and satellite denial conditions.

This invention discloses a near-Earth space vehicle attitude determination method using a dual-field-of-view star sensor with fused atmospheric polarization, belonging to the technical field of near-Earth space vehicle attitude determination. It solves the problem that traditional near-Earth space vehicle attitude determination methods in the prior art cannot effectively determine the vehicle's attitude due to the low star detection capability of the equipment. The invention includes the following steps: S1. Using a dual-field-of-view polarization star sensor, acquire mosaic star images in two field-of-view directions; S2. Perform super-resolution reconstruction, segmenting stellar regions according to a segmentation threshold to construct a set of stellar pixels and a set of background pixels; S3. Calculate the solar direction based on atmospheric polarization E-vector analysis, find the optimal estimate of the solar direction vector, and output the estimation result; S4. Solve the vehicle attitude rotation matrix based on the combined feature matching result, and calculate the three-axis attitude angle, i.e., the vehicle attitude. This invention improves the information utilization rate of the polarization star sensor and can be applied to optimize the robustness of navigation systems.

This invention discloses an astronomical autonomous attitude measurement method based on virtual dual-field of view, belonging to the field of astronomical autonomous attitude measurement technology. The method includes: (1) acquiring historical time-series frames; (2) key frame screening; (3) star point coordinate optimization; (4) virtual structure parameter calculation; and (5) joint attitude measurement. The technical solution provided by this invention is based on multi-frame star images acquired by a monocular space camera in a specific time sequence. By screening key frames, optimizing star point coordinates, and calculating virtual structure parameters between the main field of view and the incremental field of view, a virtual dual-field of view observation model is constructed under monocular hardware constraints, thereby realizing joint attitude measurement. This can effectively improve the problem of unbalanced three-axis errors in traditional monocular attitude measurement results, and provide a new approach for astronomical autonomous attitude measurement that combines high-precision measurement requirements with lightweight hardware constraints for space missions.

The present application belongs to the technical field of astronomical image data processing, and particularly relates to a kind of astronomical image data set marking method, to solve the problem that the single threshold segmentation marking and star map projection marking based on existing cannot meet the demand of high-quality data set for deep model.The present application is based on threshold segmentation marking and star map projection marking, and the first marking result and difference set are used as marking result A for the target that can be detected with high probability in observation image, the second marking result is used as marking result B for the target that can be detected with low probability in observation image, and the final marking result is obtained by integrating marking result A and marking result B.The present application can improve the integrity of target marking, reduce the probability of missing and wrong marking, meet the actual fit degree of marking result and image, realize the unity of integrity and accuracy, and improve the performance of deep model for the data set produced.

This invention discloses a star map recognition method, apparatus, and related medium based on a neural network. The method includes: selecting a primary star in a star map training image; constructing a coordinate feature vector using a Log-Polar algorithm to obtain a first brightness value of the primary star and second brightness values ​​of other neighboring stars; setting a relative brightness factor based on the first and second brightness values, mapping the relative brightness factor according to a preset brightness threshold to obtain a brightness feature vector; constructing a stellar feature vector set based on the coordinate feature vector and the brightness feature vector, and inputting it into a neural network for training and learning; the neural network outputs the primary star number to construct a star map recognition model; and using the star map recognition model to predict the number of target stars. This invention constructs a coordinate feature vector using the Log-Polar algorithm, then uses the relative brightness factor to map and obtain a brightness feature vector, and uses this to train and learn a neural network to construct a star map recognition model to predict the number of target stars, thus improving the recognition accuracy and speed.

The application relates to the technical field of electronic equipment, and discloses a handwriting pen and a constellation identification method, the handwriting pen comprising: a pen body and a pen tip; the pen body is internally integrated with a data acquisition module and a data processing module; the data acquisition module is electrically connected with the data processing module. The posture data, position data and time data of the handwriting pen are acquired through the data acquisition module, the handwriting pen is changed from a single input tool to a device with data acquisition and processing capabilities, the data processing module calculates the pointing vector of the handwriting pen based on the acquired posture data, position data and time data, converts the pointing vector into target coordinates in a celestial coordinate system, matches the target coordinates with a pre-stored star map database, determines the constellation information output, solves the problem that the existing handwriting pen does not have a constellation identification function, and compensates for the single-function defect of the existing handwriting pen.

This invention belongs to the field of remote sensing satellite ground data processing technology, and discloses a method and system for high-precision star centroid extraction and restoration in dynamic imaging mode. Based on the image-side coordinates of stars in the star image and the right ascension and declination of the stars, this invention calculates the satellite attitude and angular velocity, constructs a model of star centroid error and angular velocity, and determines whether the stars are in a low-dynamic or high-dynamic trailing state. For low-dynamic trailing star images, sub-pixel centroids are extracted using two-dimensional elliptical Gaussian fitting; for high-dynamic trailing star images, BM3D denoising, an improved EVSSM model restoration, and two-dimensional elliptical Gaussian fitting are used sequentially to extract the centroids. The extracted centroids are used for attitude calculation, and the centroid extraction accuracy is evaluated by the mean square error of the optical axis angle. This invention achieves full-process optimization from star image restoration to sub-pixel-level centroid extraction under dynamic imaging conditions through angular velocity threshold determination, noise suppression, model restoration, and fitting collaborative processing, improving the stability and reliability of attitude calculation.