Geospatial Data Processing with Temporal Synchronicity

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Solution Overview

Problem

Geospatial datasets, when associated with imagery without considering temporal synchronicity, often result in errors due to mismatched attributes, leading to unreliable geolocation services as newer vector data may be incorrectly combined with older imagery.

Innovation Solution

A method and device for processing geospatial datasets that extract and locate attributes corresponding to a particular geospatial object at a specific point in time, generating output that aligns attributes with corresponding imagery, and includes a geomatic system with modules for extraction, generation, and verification to ensure accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If geospatial datasets are associated with geospatial imagery without considering temporal synchronicity, then the quantity of integrated data increases, but the reliability of the resulting maps deteriorates due to temporal mismatches between newer vector data and older imagery

Engineering Contradiction:

Improvequantity of integrated geospatial dataVSAvoidreliability of geolocation services

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system performs preliminary extraction of temporal attributes from geospatial datasets before association with imagery. By identifying and recording the time period when vector data was created or when features were captured, the system prepares the data in advance for temporal matching, preventing reliability issues before they occur

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism that verifies temporal consistency between geospatial datasets and imagery during the association process. When a temporal mismatch is detected, the system provides feedback to adjust the association, ensuring that only temporally synchronized data pairs are integrated

Inventive Principle:

Principle #23Feedback

2Productivity

If geospatial attributes are extracted and associated without temporal verification, then the productivity of data processing increases, but the manufacturing precision of content-rich maps deteriorates due to temporal conflicts

Engineering Contradiction:

Improveproductivity of geospatial data processingVSAvoidprecision of content-rich maps

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system extracts temporal attributes as a preliminary step during data ingestion, storing time period information alongside geospatial attributes. This preliminary action enables rapid temporal verification during map generation without significantly impacting processing throughput

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies temporal verification selectively to specific geospatial attributes that are critical for map accuracy, such as building locations and road features, while maintaining efficient processing for less critical attributes. This localized approach preserves productivity while ensuring precision where it matters most

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS8953887B2Processing time-based geospatial data

Publication Date: 2015.02.10 TERRAGO TECH

AI summary

A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.