A Realization Method of Adaptive Intelligent Optical Load Based on Measurement Data

Abstract

The invention discloses a method for realizing an adaptive intelligent optical load based on measurement data. The key to the realization of the intelligent load scheme is to adjust the load parameters adaptively. The main process is as follows: After the load system receives the task requirements, it sets preliminary parameters through the load parameter library established on various platforms and different environmental backgrounds, and adjusts the load parameters according to the analysis and calculation of the measurement data by the autonomous data processing system until Achieve the best imaging mode for target detection and recognition. The invention has the advantages that the realization of the intelligent load can ensure the completion quality of the detection task, reduce the number of equipment, reduce the system overhead, and effectively improve the working efficiency of the system.

Description

technical field [0001] The invention relates to the detection and identification of multiple types of different targets realized by the satellite optical load, and is applicable to the field of military detection. Background technique [0002] The payload refers to the instruments, equipment, personnel, experimental organisms and test pieces loaded on the spacecraft to directly realize the specific tasks to be completed by the spacecraft’s in-orbit operation. The payloads available for target detection, information acquisition, and information transmission vary with mission requirements. [0003] Most of the traditional payloads are only designed for a single special task. During the detection process of the payload system, there are various unexpected tasks and changing observation environments and observation objects at any time. However, after the development and launch of the satellite payload, its indicators are basically unchanged, and it is impossible to independentl...

AI Technical Summary

Problems solved by technology

However, after the development and launch of the satellite payload, its indicators are basically unchanged, and it is impossible to independently optimize the observation task according to the different observation targets, observation tasks and loads.

[0004] Therefore, traditional payloads can no longer meet the increasing demands for high timeliness, accurate acquisition, and diversification in the actual application of military detection. The future battlefield requires one payload to achieve the integration of multiple tasks, taking into account the detection and identification of multiple types of different targets.

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