6 results about "Visibility function" patented technology

The invention discloses an autonomous planning method and system for a flight path of an intelligent patrol unmanned aerial vehicle in a forest region, and belongs to the technical field of unmanned aerial vehicle path planning, and the method comprises the steps: firstly constructing a forest region three-dimensional environment and a transient visibility function, extracting a transient visibility collapse non-stationary index and a visual angle anisotropic shielding gradient, and forming a transient observation risk field; further combining communication signal attenuation and energy constraint to construct an asymmetric evaluation function, and introducing a time sensitive weight to realize alignment of a path and a visibility peak value; candidate paths are generated in the path feasible space, and time axis re-calibration is carried out on the paths through dynamic environment perception; meanwhile, identifying an uncovered high-frequency collapse area based on transient window dislocation residual errors, performing local path topology reconstruction, and generating a compensation path; and finally, model parameters are reversely corrected through patrol results, and adaptive optimization of path planning is realized. According to the method, the capturing capability and patrol precision of the transient target in the complex environment of the forest region can be remarkably improved.

The invention discloses a comprehensive aperture interference radiometer amplitude-phase error self-correction method, system and device based on adaptive filtering. The method comprises the following steps: S1, constructing a visibility function model under the amplitude-phase error action of the synthetic aperture interference radiometer; s2, decomposing the visibility function model into an amplitude error matrix and a phase error matrix, respectively establishing an amplitude error self-adaptive correction model and a phase error self-adaptive correction model, and finally constructing an amplitude-phase error correction model of the synthetic aperture interference radiometer; and S3, taking a signal obtained after the correction model processes the multi-block visibility data as a feedforward signal, inputting the feedforward signal into an adaptive filter, and generating an amplitude-phase error estimation signal by the filter and correcting the amplitude-phase error estimation signal. According to the method, the amplitude-phase error of the visibility function can be effectively suppressed without additional hardware or an external reference source, and the robustness and the imaging quality of a comprehensive aperture imaging system are remarkably improved.

The invention belongs to the technical field of radiation detection, and particularly relates to a synthetic aperture radiometer target detection method and device under a high dynamic condition based on continuous frame image processing. Utilizing a synthetic aperture radiometer to continuously obtain millimeter wave signals of a target scene, and obtaining visibility functions of a plurality of continuous frames according to preset integral time; performing background subtraction, Gaussian low-pass filtering and Fourier transform on the visibility function sequence to obtain a plurality of frames of brightness temperature maps; solving a rotation matrix of the current frame image according to the attitude angle at the current moment, and performing registration fusion on the brightness temperature image according to the rotation matrix to obtain a preliminary result image; a convolution kernel is set according to antenna array arrangement and platform motion imaging properties, the preliminary result image is enhanced, then the image is further enhanced by adopting multi-scale white top-hat transform, and a final result image is obtained; and setting a target detection window, screening candidate target points according to pixels in the window, and finally setting a threshold value according to a full-image pixel mean value and variance to determine the positions of the target points.

The invention discloses a small radio interference array visibility simulation and FITS generation method and system, and relates to the technical field of radio astronomy. The method comprises the following steps: firstly, constructing a small interference array consisting of at least four antennas, generating a time domain voltage signal of each antenna by simulating a target celestial body signal and background noise, and performing accurate time shifting according to geometric delay; then, carrying out segmented Fourier transform on the time domain signal to generate a dynamic frequency spectrum, and calculating a complex visibility function through cross-correlation operation between the antenna pairs; finally, the visibility data, the antenna position, the observation frequency, the calculated UVW coordinates and other information are packaged and output according to a standard FITS file format. According to the invention, a complete process from signal simulation to standard data format generation is realized, a standardized solution is provided for data processing, archiving and imaging of a small radio interference array, and the method is especially suitable for research on rapid interference measurement and mapping positioning of a temporary source.

A kind of comprehensive aperture radiometer error correction method based on deep learning, in order to correct the amplitude and phase error of antenna and channel and gibbs oscillation, improve the imaging quality, generate original scene brightness temperature image according to the dynamic range of actual application scene;Generate visibility function containing system error;Original scene brightness temperature image and visibility function jointly construct training data set and test data set;The deep learning network is trained using the training data set;The network correction effect is verified using the test data set.

This invention provides a method and system for generating products for a circular array solar radio imaging telescope, comprising: generating raw complex visibility function data and raw solar radio spectrum data based on the output signals of each antenna element of the telescope; obtaining calibrated data through multi-dimensional calibration of channels, phase, the entire system, and the spectrum; generating a solar radio brightness temperature image based on the calibrated complex visibility function data, and generating two types of fast-view products by combining the calibrated spectrum data; performing quality inspection on all data products, and classifying and storing qualified products after encapsulation according to standardized naming rules and metadata specifications. This invention achieves end-to-end processing from raw signals to standardized products, balancing data accuracy, real-time performance, and quality controllability, fully complying with relevant technical specifications, and adapting to the high-resolution observation requirements of the telescope.