Intertidal Elevation Mapping via Tidal Correlation
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Solution Overview
Problem
Existing methods for mapping inter-tidal areas, particularly determining elevation, are challenging due to difficulties in identifying and automating the position of the waterline, with known techniques like edge detection in images being unreliable and prone to error.
Innovation Solution
A method that analyzes time sequences of images to determine elevation by calculating the measure of change and similarity with tidal transitions, using techniques such as Fourier transforms and curve fitting, to identify whether locations stay wet or dry, and interpolating to produce accurate elevation maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waterline-based mapping is used, then elevation can be determined, but the position of the waterline is extremely difficult to identify and automate
Solution Approach 1:
The patent transitions from analyzing single images (2D spatial information) to analyzing time sequences of images (adding the time dimension). By examining how pixel values change over time at different elevations, the system can automatically identify intertidal locations and determine their elevation without needing to manually identify waterlines in individual images.
Solution Approach 2:
The patent performs preliminary classification of locations as intertidal or non-intertidal by analyzing temporal patterns in image sequences before determining specific elevations. This preliminary action filters out non-intertidal areas and establishes which locations require elevation mapping, streamlining the overall process.
2Extent of automation
If edge detection techniques are used, then automation is achieved, but the results are unreliable and prone to error
Solution Approach 1:
The patent adds the time dimension to the analysis by using sequences of images taken at different times. Instead of relying on single-image edge detection, the system analyzes temporal changes in pixel values, which provides more robust and reliable information about waterline positions and elevation changes.
Solution Approach 2:
The system uses the temporal patterns of pixel value changes as feedback to automatically adjust and refine elevation determinations. By comparing observed changes against expected tidal patterns, the system can verify and correct elevation measurements, improving reliability.
Data Source
AI summary
A method of mapping an inter-tidal area, comprising: obtaining, over a period of time, image data comprising: a sequence of images of the inter-tidal area at a range of different stages of the tide, and the time at which each image was obtained; determining an elevation of a location in the image, by correlating the changes in an image value over time at the location with tidal data comprising the elevation of the tide over the period of time.