Key Terrain Finder Using Multi-Rule Aggregate Masking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Identifying key terrain in a geographic location is a complex task that requires evaluating various factors unique to each location, and existing methods lack efficiency in distinguishing key terrain areas from non-key areas, making it challenging for analysts and users to focus on potential key terrain.
Innovation Solution
A key terrain finder system that accesses an image of a geographic location, applies general, override, and user-defined rules to assign scores to terrain areas, generating an aggregate mask to identify key terrain areas by eliminating non-key areas and preserving information pedigree through a combination of masks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple scoring masks (general, override, user-defined) are applied to evaluate terrain areas, then the precision of key terrain identification is improved, but the complexity of the system increases
Solution Approach 1:
The evaluation process is divided into three distinct scoring masks: general mask for basic terrain assessment, override mask for correcting specific errors, and user-defined mask for custom criteria. Each mask operates independently to score terrain areas, allowing complex evaluation to be broken down into manageable segments that can be applied systematically across the geographic location.
Solution Approach 2:
The three separate scoring masks are combined through aggregation to produce a final key terrain identification result. The general mask, override mask, and user-defined mask are merged in a weighted combination where the override mask can correct errors from the general mask, and the user-defined mask applies additional custom criteria, resulting in a comprehensive evaluation that leverages all three scoring components.
2Reliability
If multiple scoring criteria are used to evaluate terrain areas, then the reliability of key terrain determination is improved, but the time required for analysis increases
Solution Approach 1:
The general mask performs preliminary scoring of all terrain areas based on fundamental criteria before more detailed evaluation. This preliminary assessment quickly identifies potentially key terrain areas that warrant further scrutiny, allowing the system to focus computational resources on areas most likely to be key terrain rather than uniformly processing all areas with full complexity.
Solution Approach 2:
The override mask acts as an intermediary that corrects errors or exceptions identified in the general mask scoring. Rather than requiring complete re-evaluation of all terrain areas, the override mask selectively adjusts scores for specific areas where the general mask may have made errors, efficiently improving reliability without repeating the entire analysis process.
3Measurement precision
If comprehensive scoring rules are applied to all terrain areas, then the accuracy of identifying key terrain is improved, but the ease of operation decreases
Solution Approach 1:
Different scoring criteria are applied to different terrain areas based on their specific characteristics and the operational context. The user-defined mask allows customization of scoring rules for specific locations or mission requirements, enabling the system to adapt its evaluation approach locally rather than applying a uniform complex algorithm everywhere, thus maintaining accuracy while improving usability.
Data Source
AI summary
Systems, devices, media and methods are presented for identifying key terrain areas in a geographic location by accessing an image comprising a view of the geographic location comprising a plurality of terrain areas and for each terrain area, assigning a first score corresponding to positive or negative key terrain determinations using a general rule, assigning a second score corresponding to positive or negative key terrain determinations using an override rule, assigning a third score corresponding to positive or negative key terrain determinations using a user-defined rule and generating an aggregate mask to assign the key terrain area with an aggregate score. Based on the aggregate score, key terrain areas are identified and displayed on a computing device.