Aero-Optical Image Correction System for High-Speed Aircraft

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Solution Overview

Problem

Current systems lack a real-time processing solution that can effectively combine correction algorithms for aero-optical transmission and aerothermal radiation effects, while also being compact, lightweight, low power consumption, and capable of fast processing speeds, which is crucial for high-speed aircraft imaging.

Innovation Solution

A system comprising a FPGA module, multi-core master processor DSP, coprocessors ASIC, and an infrared-image-nonuniformity-correction SoC, utilizing task allocation and multi-core concurrent processing for real-time denoising, aerothermal radiation correction, and target detection and recognition, with dedicated ASICs for specific tasks like FFT operations and filtering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If correction algorithms for aero-optical transmission and aerothermal radiation effects are combined, then imaging quality is improved, but processing time increases

Engineering Contradiction:
Improveimaging qualityVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent divides the image processing system into multiple independent correction modules: aero-optical transmission effect correction module and aerothermal radiation effect correction module. Each module processes specific aspects of image degradation separately, allowing parallel execution and reducing total processing time while maintaining comprehensive correction quality.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary correction of aerothermal radiation effects before aero-optical transmission effect correction. By addressing the more severe aerothermal distortion first, the subsequent transmission effect correction operates on already-improved images, reducing the computational burden and overall processing time required for complete correction.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If real-time processing is implemented for high-speed aircraft imaging, then detection speed is improved, but system complexity increases

Engineering Contradiction:
Improvedetection speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent employs a multi-core processor architecture where each core is dedicated to specific correction tasks (e.g., one core for aerothermal radiation correction, another for aero-optical transmission correction). This universal multi-core platform can handle various correction algorithms simultaneously, achieving real-time processing without requiring separate dedicated hardware for each correction type, thus managing complexity effectively.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements continuous real-time processing where correction operations are performed on incoming image streams without interruption. The multi-core processor continuously executes correction algorithms as images arrive, ensuring uninterrupted detection and recognition operations, which maintains high detection speed while distributing computational load to manage system complexity.

Inventive Principle:
Principle #20Continuity of useful action

3Measurement precision

If complex correction algorithms are used for aero-optical effects, then image quality is improved, but processing capacity requirements increase

Engineering Contradiction:
Improveimage qualityVSAvoidprocessing capacity
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The patent segments the correction algorithms into distinct modular components that can be independently executed on different processor cores. The aero-optical transmission effect correction and aerothermal radiation effect correction are separate modules, each with optimized computational requirements. This segmentation allows the system to distribute processing capacity demands across multiple cores, maintaining high image quality correction while managing overall processing capacity requirements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts correction parameter precision and computational intensity based on the specific imaging conditions and aircraft speed. For high-speed flight conditions with severe aerothermal effects, the system increases computational intensity and uses higher precision parameters. For slower conditions, it reduces computational load while maintaining adequate correction quality, thus optimizing the balance between image quality and processing capacity requirements.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10297013B2Aerodynamic optical effect correction and identification integrated real-time processing system and method
Publication Date: 2019.05.21 HUAZHONG UNIV OF SCI & TECH
  • US10297013B2 patent drawing
  • US10297013B2 patent drawing
  • US10297013B2 patent drawing

AI summary

An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method. The system effectively solves the problem of aerodynamic optical effect and the problem of the requirement for a short detection time interval of the processor in an aircraft flying at a high speed; due to the adoption of the independently researched and developed ASIC, the real-time property of the whole system is greatly improved; all tasks are rationally distributed and a multi-core parallel mode is adopted, so the image processing time is greatly shortened; and meanwhile, the FPGA module connects all units to form a closed-loop system, so that the system stability is further improved.