Abstract: Disclosed herein are a system and a method for controlling multi-UAV cooperative tracking of a ground-moving target. The system includes UAVs, a processor, and a storage device. The UAVs are wirelessly communicatively connected to the processor. The processor is configured to generate a UAV command transmitted to the UAVs. The UAVs are configured to transmit tracking data to the processor. The processor includes a terrain building module, a flight simulation module, a UAV parameter generation module, a flight trajectory prediction module, a flight trajectory determination module, and a flight trajectory control module. The system provided in the embodiments of the present disclosure integrates Model Predictive Control (MPC) with an Improved Whale Optimization Algorithm (IWOA) to enhance the algorithm's convergence speed and precision, thereby improving the accuracy and stability of target tracking.

Abstract: The present disclosure provides a method and apparatus for processing astronomical survey data. The method comprises: a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file into a plurality of data blocks, and distributing the data blocks to computing nodes; a data computing step: performing a spectral classification of spectra to be measured in the data blocks, with a template matching method; the data computing step comprises: reading template spectra, and extracting template universal operators; reading the spectra to be measured; performing spectral matching, and computing Chi-square error values for flow rate values of the template spectra multiplied by the polynomial and flow rate values of the spectra to be measured; and finding corresponding minimum Chi-square error and corresponding redshift for each of the template spectra, so as to determine classifications of the spectra to be measured.

Abstract: The present disclosure provides a method and apparatus for processing astronomical survey data. The method comprises: a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file into a plurality of data blocks, and distributing the data blocks to computing nodes; a data computing step: performing a spectral classification of spectra to be measured in the data blocks, with a template matching method; the data computing step comprises: reading template spectra, and extracting template universal operators; reading the spectra to be measured; performing spectral matching, and computing Chi-square error values for flow rate values of the template spectra multiplied by the polynomial and flow rate values of the spectra to be measured; and finding corresponding minimum Chi-square error and corresponding redshift for each of the template spectra, so as to determine classifications of the spectra to be measured.

Abstract: The present disclosure provides a method and apparatus for processing astronomical survey data. The method comprises: a data distribution step: delivering a spectral data file to be processed to a distributed file system, dividing the spectral data file into a plurality of data blocks, and distributing the data blocks to computing nodes; a data computing step: performing a spectral classification of spectra to be measured in the data blocks, with a template matching method; the data computing step comprises: reading template spectra, and extracting template universal operators; reading the spectra to be measured; performing spectral matching, and computing Chi-square error values for flow rate values of the template spectra multiplied by the polynomial and flow rate values of the spectra to be measured; and finding corresponding minimum Chi-square error and corresponding redshift for each of the template spectra, so as to determine classifications of the spectra to be measured.