Super-resolution Stereoscopic Visualization for DEM Data
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Solution Overview
Problem
Current Digital Elevation Model (DEM) schemes, such as the 5 m-DEM, struggle to provide high-resolution stereoscopic visualization, especially in narrow areas, leading to jagged and artifact-prone images that are inadequate for disaster prevention and real estate valuation.
Innovation Solution
A super-resolution stereoscopic visualization processing system that reads and processes 5 m-DEM data by converting it into a plane-rectangular coordinate, performing TIN bilinear interpolation, and applying a moving-average smoothing process to generate fine grid-cells with interpolated elevation-values, resulting in a smooth and detailed stereoscopic image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 5 m-DEM data is used for stereoscopic visualization, then the data coverage and basic resolution are sufficient, but the image quality becomes jagged and artifact-prone in narrow areas
Solution Approach 1:
The patent divides the DEM data processing into multiple stages: initial DEM data, TIN interpolation, moving-average smoothing, and final red relief image generation. Each stage processes the data at different resolution levels, progressively refining the image quality while maintaining the underlying elevation precision.
Solution Approach 2:
The patent combines multiple processing techniques (TIN interpolation, moving-average smoothing, chroma saturation mapping, and brightness mapping) to create a composite visualization product that achieves both precision and quality that individual methods cannot accomplish alone.
2Manufacturing precision
If the DEM resolution is increased to improve stereoscopic visualization in narrow areas, then the image quality improves, but the processing complexity and computational load increase significantly
Solution Approach 1:
The patent applies moving-average smoothing as a preliminary processing step before generating the final red relief image. This pre-processing reduces noise and artifacts in the DEM data, making subsequent visualization steps more efficient and less computationally intensive.
Solution Approach 2:
The patent applies moving-average smoothing with a specific window size (e.g., 3×3 or 5×5) that provides sufficient noise reduction without过度 processing. This partial application of smoothing maintains processing efficiency while achieving the necessary image quality improvement.
3Productivity
If conventional red relief image generation is used, then the processing is simple and fast, but the visualization accuracy is insufficient for disaster prevention and real estate valuation
Solution Approach 1:
The patent introduces TIN interpolation and moving-average smoothing as intermediary processing steps between the original DEM data and the final red relief image. These intermediaries enhance visualization accuracy by refining the elevation data while maintaining reasonable processing speeds through efficient algorithm implementation.
Data Source
AI summary
A super-resolution stereoscopic visualization processing system encompasses a base map database storing the 5 m-DEM base map, the 5 m-DEM mesh reading unit, a geographic-coordinates XYZ-point file, a plane-rectangular coordinate converter, a plane-rectangular XYZ-point file, a rasterization processor, a fine grid-cell memory, a smoothing processor, a smoothing image memory, a consideration-distance grid-number calculator, a red stereoscopic-visualization image generator, a red stereoscopic-visualization image memory, wherein a super-resolution red stereoscopic-visualization image of 5 m-DEM is obtained on a screen of a display.