Georegistration via User-Interactive Coordinate Determination
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Solution Overview
Problem
Conventional georegistration systems rely heavily on telemetry data, which can be incomplete or unavailable, making it difficult to accurately align images or datasets without sufficient spatial information.
Innovation Solution
A user-interactive georegistration method that utilizes user inputs to determine coordinates and generate georegistration transforms, allowing for alignment of images even with incomplete telemetry data, using techniques like Perspective-n-Point problems and machine learning models to process user inputs and generate accurate geospatial coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional georegistration systems rely on telemetry data for alignment, then automated processing is achieved, but accuracy deteriorates when telemetry data is incomplete or unavailable
Solution Approach 1:
The patent introduces user interaction as an intermediary mechanism between the automated georegistration system and the final alignment accuracy. Users provide reference points that mediate the transformation calculation, enabling accurate georegistration even when telemetry data is incomplete. The system combines automated processing with user input to achieve both automation and accuracy.
2Measurement precision
If user interactive georegistration is implemented, then accuracy with incomplete data is improved, but operation complexity increases
Solution Approach 1:
The system enables users to perform self-service by providing their own reference points and location information. Users interact with the system by selecting reference features and providing location data, which the system then uses to automatically compute the georegistration transform. This self-service approach improves accuracy while keeping the operation simple for end users.
3Productivity
If telemetry data is used for georegistration, then processing speed is maintained, but reliability deteriorates when data is missing or unreliable
Solution Approach 1:
The patent implements feedback mechanisms where the system processes user input and location data to generate georegistration transforms. The system uses feedback from user-provided reference points and location information to correct or supplement incomplete telemetry data. This feedback loop maintains processing speed while significantly improving reliability when telemetry data is missing or unreliable.
Data Source
AI summary
Systems and methods for georegistration are provided. An example method includes receiving a video stream including a plurality of video frames collected by an image sensor, presenting the video stream via a video player, and receiving user input associated with a first video frame of the plurality of video frames and a reference image. In some examples, the first video frame includes incomplete telemetry data. In some examples, the method further includes determining one or more coordinates associated with the first video frame based on user input associated with the first video frame and the reference image, determining the incomplete telemetry data associated with the first video frame based on the one or more determined coordinates, and generating a georegistration transform based on the determined telemetry data and the reference image.