Automated Ground Control Point Detection Using Geospatial Datasets
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Solution Overview
Problem
Conventional methods for creating ground control points in spatial areas are inaccurate, costly, and time-consuming, especially in environments with limited global navigation satellite system signal reception, such as urban, forest, and mountainous areas, due to difficulties in accessing and maintaining these points.
Innovation Solution
A method and system that generate and utilize geospatial datasets to automatically detect and designate ground control points by measuring characteristics of objects within a spatial area, associating location coordinates, calculating accuracy, and storing the points, which reduces human intervention and increases efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional survey equipment is used to establish ground control points in challenging environments (urban, forest, mountainous areas), then positioning accuracy may be improved through manual surveying techniques, but the process becomes extremely time-consuming, costly, and difficult due to limited satellite signal reception and physical inaccessibility
Solution Approach 1:
The patent replaces manual mechanical surveying techniques with an automated computer-based system that uses remote sensing data, image processing, and algorithms to automatically detect and designate ground control points. This substitution eliminates the need for physical surveyor presence in challenging environments while maintaining positioning accuracy through automated feature detection and verification processes.
Solution Approach 2:
The system enables ground control points to be automatically identified and established without human intervention in the field. The computer automatically processes remote sensing data, detects suitable features, calculates their coordinates, and designates them as ground control points, making the system self-sufficient and eliminating dependency on manual surveying operations in inaccessible areas.
2Measurement precision
If more ground control points are manually created to improve positioning accuracy across large spatial areas, then measurement precision may be improved, but the cost and complexity of the project approximately doubles
Solution Approach 1:
The automated computer-based system replaces expensive manual surveying operations with algorithmic processing of remote sensing data. The system can automatically process and analyze large spatial areas to identify multiple ground control points without incurring additional field surveying costs, thereby maintaining positioning accuracy while significantly reducing project complexity and cost.
Solution Approach 2:
The system performs multiple functions including remote sensing data processing, feature detection, coordinate calculation, and ground control point designation within a single integrated platform. This multi-functionality eliminates the need for separate manual surveying operations for each ground control point, reducing overall project complexity while maintaining the ability to establish numerous accurate ground control points across large areas.
3Measurement precision
If manual surveying techniques are used to establish ground control points in physically inaccessible locations (mountain slopes, dense forest), then positioning accuracy can be achieved, but ease of operation deteriorates due to lack of roads or trails
Solution Approach 1:
The patent replaces manual field surveying operations with remote sensing-based automated detection. The system uses aerial or satellite imagery to identify and coordinate ground control points in inaccessible locations without requiring physical access. This substitution completely eliminates the operational difficulty of reaching mountain slopes or dense forests while maintaining positioning accuracy through automated image processing and feature detection.
4Difficulty of detecting and measuring
If natural objects (trees, vegetation) are used as ground control points, then ease of detection may be improved, but reliability deteriorates because these objects change over time due to growth, seasonal variations, and environmental factors
Solution Approach 1:
The system incorporates a verification process where detected ground control points are validated against multiple criteria including permanence, invariance, and detectability. The computer analyzes remote sensing data to assess whether detected features are stable and permanent objects rather than transient natural features. This feedback mechanism ensures that only reliable, permanent ground control points are designated, filtering out changing natural objects while maintaining ease of detection through automated image processing.
Data Source
AI summary
A method for creating ground control point within a spatial area, includes generating first and second geospatial dataset by measuring characteristics of a plurality of objects present within the spatial area. A first feature associating with a first object is detected from the measured characteristics of plurality of objects within first geospatial dataset and a first location co-ordinates is associated for the first feature. The first feature associating with the first object is further detected from measured characteristics of plurality of objects within second geospatial dataset and a second location co-ordinates is associated for the first feature. Level of accuracy is calculated for the first feature of the first object using the first and the second location co-ordinates. First feature of the first object is designated as the ground control point. The ground control point and the level of accuracy for the first feature are stored.