Multispectral Detection System Corruption Handling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional multispectral imaging sensors fail to maintain detection capability when images are corrupted by powerful radiant sources like the sun, often discarding entire frames and resulting in loss of data and detection performance.
Innovation Solution
A system and method that monitor multispectral gain to identify corrupted images and switch to a single spectrum detection system, evaluating pixel intensity in the primary spectral image to identify potential threats, thereby maintaining detection capability and providing threat warning and protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional multispectral imaging systems use reference images for detection, then detection accuracy is improved, but the system becomes vulnerable to corruption from radiant sources like the sun
Solution Approach 1:
The system dynamically adapts its detection mode based on corruption detection. When the reference image is determined to be corrupted (through gain analysis), the system automatically switches from multispectral detection mode to single-spectrum detection mode, allowing continuous operation under varying environmental conditions
Solution Approach 2:
The system changes the operational parameters of the detection algorithm based on image quality. By monitoring multispectral gain and detecting corruption through slope analysis, the system adjusts its detection approach by switching between different spectral processing modes to maintain reliability
2Reliability
If the system switches to single spectrum detection upon corruption, then detection capability is maintained, but detection precision deteriorates compared to multispectral approach
Solution Approach 1:
The system employs dynamic mode switching between multispectral and single-spectrum detection based on real-time corruption assessment. This allows the system to maintain operational reliability by adapting to degraded conditions while preserving optimal performance when conditions permit
Solution Approach 2:
The system prepares alternative detection pathways in advance (single-spectrum detection mode) to serve as a backup when the primary multispectral approach fails due to corruption, ensuring continuous detection capability
3Measurement precision
If conventional systems discard corrupted frames, then detection accuracy is preserved, but data loss and detection performance deteriorate
Solution Approach 1:
The system extracts useful detection information from corrupted frames by switching to single-spectrum detection mode that is robust against reference image corruption. This allows the system to salvage valuable detection data that would otherwise be discarded entirely
Solution Approach 2:
The system converts the harmful effect of reference image corruption into a manageable condition by detecting the corruption through gain analysis and automatically adapting the detection algorithm, thereby transforming a previously fatal error into a controllable operational state
Data Source
AI summary
Exemplary embodiments provide a method, a system, and a computer readable medium for maintaining detection capability when a frame is corrupted. A plurality of data points of a multispectral gain in a frame is monitored. It is determined that the frame is corrupted by analyzing the plurality of data points. When the frame is corrupted, a single spectrum threat detection system is used instead of a multispectral threat detection system.