Military Suit Camouflage Pattern Using Terrain and Seasonal Images
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Solution Overview
Problem
Conventional military suit camouflage patterns fail to provide effective camouflage and concealment in combat zones, limiting operational effectiveness and personnel survivability.
Innovation Solution
A method involving satellite image analysis to generate camouflage patterns that mimic the terrain and seasonal characteristics of the target area, using a system to extract and combine terrain patterns with camouflage colors, ensuring high-resolution and fractal-like patterns for enhanced concealment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional camouflage patterns are used on military suits, then manufacturing is simple and cost-effective, but camouflage effectiveness in combat zones is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-processing satellite images to extract terrain patterns, elevation data, and seasonal color information before generating camouflage patterns. This advance preparation of environmental data enables the system to create region-specific camouflage patterns that accurately reflect the operational area's characteristics, thereby improving camouflage effectiveness without requiring complex real-time adjustments during deployment
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting camouflage pattern parameters based on extracted terrain features, elevation levels, slope angles, and seasonal color variations. The system modifies pattern density, color composition, and geometric characteristics to match specific environmental conditions, transforming static conventional patterns into adaptive camouflage that responds to varying operational zone parameters
2Reliability
If satellite image analysis is used to generate customized camouflage patterns, then camouflage effectiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies segmentation by dividing the satellite image processing into distinct functional modules: terrain pattern extraction, elevation analysis, slope calculation, seasonal color identification, and pattern synthesis. This modular approach allows each component to be optimized independently and enables parallel processing of different image regions, significantly reducing overall computation time while maintaining high camouflage effectiveness
Solution Approach 2:
The patent uses copying by creating standardized terrain pattern templates and color palettes from satellite image analysis that can be reused across multiple camouflage pattern generations. Once the environmental characteristics of a region are extracted and stored as reference data, subsequent pattern generations for the same operational zone can efficiently reference these pre-computed templates rather than re-processing the entire satellite image, thereby reducing repeated computational overhead
Data Source
AI summary
A military suit camouflage pattern forming method includes extracting, from a database storing satellite images of the earth's surface, zonal and seasonal color images captured from above a target area where military operations are expected, and generating a sample image of the ground surface using the color images, generating a dot image by mapping all pixels of the sample image to a smaller number of pixels, and extracting different camouflage colors from the pixels of the dot image, by reclassifying the sample image based on the elevation and slope of the ground surface and converting it to grayscale, extract different terrain patterns based on elevation and slope, as primary patterns, and coloring the primary patterns with the extracted camouflage colors to generate secondary patterns in which colors vary according to the terrain patterns, and superimposing the secondary patterns over a background color to generate a camouflage pattern.