Geospatial Object ID Encoding for Cross-Dataset Matching
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Solution Overview
Problem
Existing geospatial data systems lack a common identifier to uniquely identify and match geospatial objects across disparate datasets, leading to difficulties in data integration and asset management due to address duplicates and lack of standardization, which impedes effective data exchange and analysis.
Innovation Solution
An automated system generates a unique geo ID code for geospatial objects by encoding geospatial data, allowing for precise identification and matching across platforms, using a rotated polygon representation that considers orientation and directional extents, and employs machine learning for improved matching accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If address-based identification systems are used for geospatial objects, then implementation is simple and familiar, but uniqueness and accuracy are compromised due to address duplicates, incorrect entries, and lack of standardization
Solution Approach 1:
The system segments the identification process into multiple components: extracting geometric features (footprint, boundary, centroid), calculating spatial parameters (directional extents, orientation angles), and encoding these into a structured geo ID code. This segmentation allows each component to be processed independently with high precision, resolving the contradiction between simple implementation and accurate identification.
Solution Approach 2:
The invention transitions from one-dimensional address strings to multi-dimensional geospatial parameters including footprint coordinates, centroid position, boundary orientation angles, and directional extents. This dimensional expansion enables unique identification by capturing the complete geometric essence of each geospatial object, eliminating duplicates and incorrect entries inherent in address-based systems.
2Adaptability or versatility
If multiple disparate geospatial datasets are integrated without a common identifier, then data sources remain independent and simple, but data matching and integration become difficult and inefficient
Solution Approach 1:
The geo ID code serves as a universal identifier that can match geospatial objects across multiple disparate datasets from different sources. The encoding system processes various input formats (footprints, boundaries, coordinates) and generates a standardized geo ID that enables one-to-one, one-to-many, or many-to-many matching relationships, providing multi-functional data integration capability without requiring complex source-specific processing.
Solution Approach 2:
The geo ID code acts as an intermediary that bridges disparate geospatial datasets. Instead of directly comparing complex geometric data from different sources, the system encodes each object's geometry into a standardized geo ID, which then serves as a common key for efficient matching and integration across datasets, simplifying the overall system architecture.
3Reliability
If standardized geo ID codes are generated for all geospatial objects, then unique identification and data matching are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary encoding of geospatial objects into geo ID codes during data ingestion or preprocessing stages. By generating these standardized identifiers in advance rather than computing them on-demand during matching operations, the system eliminates redundant calculations and enables rapid lookup and comparison, significantly reducing processing time while maintaining identification uniqueness.
Data Source
AI summary
A geospatial digital encoding, decoding, and mapping system and method for processing geospatial data to generate a unique geo identification (ID) code for a geospatial object distinctively identifying the geospatial object and for decoding and mapping a unique geo identification code (ID) to a digital representation. The system comprises a geospatial data processing unit for capturing geospatial data associated with a geospatial object, and for extracting a footprint of the geospatial object based on the geospatial data. The system comprises a boundary determination unit for identifying a centroid of the footprint and determining a relevant boundary for the footprint. The system further comprises geo ID code generation unit for determining an orientation of the boundary and rotating the boundary around the centroid of the footprint. The geo ID code generation unit computes directional extents of the boundary, and generates the geo ID code based on directional extents, centroid, and orientation of the boundary.