HSV Color Image Visualization for Direction Finding Data
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Solution Overview
Problem
Current visualization methods for data related to level, azimuth, and elevation in direction finding systems are complex and inefficient, requiring separate diagrams and linear color models that complicate understanding and training with AI systems.
Innovation Solution
A method using a color image with HSV or HSL models to represent data, where hue, saturation, and value/lightness parameters correspond to level, azimuth, and elevation, allowing for intuitive and compact visualization in a single image, enabling users to assign colors based on angular dimensions and filter data interactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If separate waterfall diagrams are used to display level, azimuth, and elevation data, then each type of information can be illustrated in a dedicated diagram, but the device complexity and difficulty of understanding increase as users must combine multiple separate diagrams
Solution Approach 1:
The patent combines multiple separate waterfall diagrams (level, azimuth, elevation) into a single integrated color image using the HSV color model. Each parameter is mapped to a different color channel: hue represents azimuth, saturation represents level, and value represents elevation. This merging allows all three-dimensional spatial information to be displayed simultaneously in one visual field, eliminating the need for users to mentally integrate multiple separate diagrams while preserving complete directional and amplitude information.
Solution Approach 2:
The patent transforms the display from multiple two-dimensional separate diagrams into a single three-dimensional color space visualization. By utilizing the HSV color model's three independent dimensions (hue, saturation, value), the system encodes three separate data parameters (azimuth, level, elevation) into a unified color image, effectively adding a dimensional encoding layer that allows comprehensive information display in a compact format.
2Ease of manufacture
If linear color models like RGB are used for visualization, then the color space is straightforward to implement, but the representation of angular data (azimuth, elevation) becomes less intuitive as the model does not naturally align with angular dimensions
Solution Approach 1:
The patent changes the color model parameters from the linear RGB system to the HSV (Hue, Saturation, Value) cylindrical color space. This parameter transformation allows angular data (azimuth and elevation) to be naturally represented: hue (0-360 degrees) directly corresponds to azimuth angles, while saturation and value encode level and elevation information. This parameter change makes the visualization more intuitive for directional data while maintaining implementation feasibility through standard color space transformations.
3Reliability
If multiple separate waterfall spectra are used for training AI systems, then comprehensive data coverage is achieved, but the training process becomes time-consuming and requires significant effort due to the need to process multiple separate diagrams
Solution Approach 1:
For AI training purposes, the patent merges multiple separate waterfall spectra into a single color image representation. This unified format allows neural networks to process all three-dimensional directional information (azimuth, level, elevation) simultaneously from one input image, rather than requiring separate processing and integration of multiple diagrams. This significantly reduces training time and computational overhead while maintaining complete training data coverage, as the HSV color encoding preserves all necessary spatial and amplitude information in a compact format.
Data Source
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AI summary
A method of visualizing data by a color image with at least two dimensions, in particular three dimensions. The color image has a plurality of pixels, wherein each pixel is associated with a set of hue parameters, with a set of saturation parameters and with a set of value or rather lightness parameters. The data to be visualized is assigned to level and azimuth and/or elevation. The data is represented in the color image by hue, saturation and value or rather lightness of the respective pixels. Furthermore, a device for visualizing data as well as use of a method of visualizing data are described.