Geospatial Modeling Using Single Optical Images and DEM
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Solution Overview
Problem
Current geospatial image processing methods are inefficient, requiring extensive processing time and resources due to the need for registration of multiple images and lengthy model generation, which is impractical for users seeking rapid delivery of 3D models for situational awareness.
Innovation Solution
A geospatial modeling system that generates models based on a single optical image and digital elevation model without the need for registration of multiple images, allowing for reduced processing time and storage of user-selected regions of interest, which can be enhanced and displayed for situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple optical images are registered to generate accurate geospatial models, then model accuracy is improved, but processing time increases significantly
Solution Approach 1:
The patent extracts and eliminates the registration step from the traditional multi-image processing workflow. By using a single optical image combined with DEM data, the system removes the time-consuming image-to-image registration process while still achieving accurate geospatial modeling through direct coordinate mapping from the single image and elevation data.
Solution Approach 2:
The patent segments the geospatial modeling process into independent components: single image acquisition, DEM data integration, and direct model generation. This segmentation allows each component to be optimized independently and eliminates the need for iterative registration between multiple images, significantly reducing processing time while maintaining accuracy.
2Loss of information
If multiple images are used to generate comprehensive models, then model completeness is improved, but memory requirements increase
Solution Approach 1:
The patent extracts only the essential information needed for geospatial modeling from the single optical image, combining it with DEM data to create complete models without storing multiple redundant images. This extraction approach maintains model completeness while minimizing memory usage by eliminating unnecessary duplicate image data.
Solution Approach 2:
Instead of storing multiple original images, the patent creates a single processed model that synthesizes the necessary information from one image and DEM data. This copying approach generates a complete geospatial model without the need to retain multiple source images in memory.
3Manufacturing precision
If traditional model generation methods are used, then detailed features are captured, but cost and processing resources increase
Solution Approach 1:
The patent enables the single optical image and DEM data to self-suffice for complete geospatial model generation. The system processes this minimal input data through automated algorithms that extract and utilize all necessary feature information, eliminating the need for additional images or manual processing steps, thereby reducing costs while maintaining detail quality.
Solution Approach 2:
The patent changes the input parameters from multiple images to a single image combined with DEM data. This parameter change shifts the processing approach to leverage elevation data for feature extraction and model construction, achieving detailed feature capture with reduced input requirements and lower processing costs.
Data Source
AI summary
A geospatial modeling system includes a display, a geospatial database, and a processor. The processor generates a model based upon a single optical image and a digital elevation model (DEM), and without registration of multiple optical images. The processor also generates time-lapsed models based upon single time-lapsed optical images and the DEM, and without registration of multiple time-lapsed optical images. Regions of interest are user selected from the time-lapsed models, and are displayed along with the model.