Distributed Adaptive Geopositioning Heritage Reuse
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Solution Overview
Problem
Current digital geospatial production processes are inefficient as they fail to leverage heritage information, requiring manual labor and re-extraction of data for each iteration, and lack connection between image and ground space, leading to redundant labor and loss of accuracy.
Innovation Solution
A distributed adaptive geopositioning system that maintains and re-uses heritage information, linking image and ground space data through a network, allowing for re-computation of geospatial coordinates and updates, and incorporating feature vector points as tie points for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photogrammetric production processes are performed using traditional product-centric approaches with fixed spatial and temporal extent, then each product can be produced with defined accuracy, but manual labor must be repeated for each iteration and heritage information is lost
Solution Approach 1:
The system performs preliminary actions by collecting and storing heritage information (image measurements, tie-points, control points, sensor model parameters) during initial image processing. This heritage information is preserved in a distributed database and can be reused in subsequent iterations, eliminating the need to repeat manual measurement work while maintaining accuracy standards.
Solution Approach 2:
The system implements feedback mechanisms where heritage information from previous processing iterations is fed back into subsequent processing. The distributed adaptive geopositioning system continuously refines geospatial coordinates by incorporating historical measurement data, allowing accuracy to improve over time without proportional increases in manual labor.
2Device complexity
If image and ground space data are processed separately without connection, then processing steps are simpler and more manageable, but accuracy is reduced due to loss of heritage information
Solution Approach 1:
The system merges image space and ground space processing by maintaining bidirectional connections between them through the distributed database. Heritage information including image measurements and ground coordinates are stored together and can be jointly processed, ensuring that accuracy is maintained while the system remains modular and manageable through networked distribution.
3Ease of operation
If manual editing is performed in ground space only, then edits are straightforward to implement, but edits cannot be re-applied to DEM re-computations and connectivity to image space is lost
Solution Approach 1:
The distributed database acts as an intermediary that stores and connects heritage information between image space and ground space operations. Edit information is preserved in this intermediary storage system with proper attribution to source images, allowing edits to be re-applied to DEM re-computations while maintaining the connection to original image data through the networked database system.
Data Source
AI summary
Distributed adaptive geopositioning includes an objective architecture for imagery geopositioning. The positioning is distributed to fulfill the need to perform accurate geopositioning whenever and wherever it is needed. The positioning is adaptive to implement the idea that geopositioning is a dynamic, not static, quality of geospatial intelligence, for which accuracy can be improved over time as more data is collected and ingested. Focus is placed on the need for improved geopositioning throughout all areas of geospatial intelligence exploitation, not just for specific products or tools. Legacy data is re-computed to align with the geopositioned imagery and also benefits from improved accuracy.