Green Tide Coverage Ratio Correction via Mixed Pixel Intermediary
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Solution Overview
Problem
Remote sensing satellites with medium and low spatial resolution overestimate green tide coverage ratios due to the issue of mixed pixels, where pixels containing both green tide algae and seawater are misclassified as pure green tide pixels, leading to significant errors in monitoring.
Innovation Solution
A method and device for determining a green tide coverage ratio based on mixed pixels, involving the acquisition of sample truth values from high-resolution satellite data, determination of reflection indices, and fitting a correlation model to correct the coverage ratio extracted from low and medium resolution data, using normalized vegetation indices and threshold adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If remote sensing satellites with medium and low spatial resolution are used for detecting green tide, then the coverage area is widened and time resolution is improved, but the green tide coverage ratio error increases due to mixed pixels
Solution Approach 1:
The patent introduces high-resolution satellite data as an intermediary to correct the low-resolution data. The high-resolution data serves as a mediator to identify and adjust mixed pixels, thereby improving the accuracy of green tide coverage ratio detection while maintaining the efficiency benefits of low-resolution satellites.
Solution Approach 2:
The patent establishes a feedback mechanism where high-resolution satellite data is used to correct and validate the results from low-resolution satellites. The correction process feeds back into the final green tide coverage ratio calculation, continuously improving accuracy by comparing and adjusting measurements.
2Ease of manufacture
If mixed pixels are treated as pure green tide pixels, then the green tide coverage ratio is calculated simply, but the measurement precision deteriorates due to overestimation
Solution Approach 1:
The patent changes the parameter treatment by introducing a correction factor based on the proportion of water body pixels within mixed pixels. Instead of treating all mixed pixels as pure green tide pixels, the system adjusts the coverage ratio calculation by multiplying by a correction factor that accounts for the actual water body content, thereby improving precision while maintaining computational simplicity.
Data Source
AI summary
A method and a device for determining an extraction model of a green tide coverage ratio based on mixed pixels. The method includes acquiring sample truth values respectively corresponding to a plurality of target regions water body and green tide; acquiring a plurality of first remote sensing data of a first satellite sensor, the plurality of remote sensing data are in one-to-one correspondence with the plurality of target regions; determining reflection index sets respectively corresponding to the plurality of target regions according to the plurality of remote sensing data; and determining the extraction model of the green tide coverage ratio corresponding to the first satellite sensor according to the sample truth value corresponding to each of the plurality of target regions and the reflection index set corresponding to each of the plurality of target regions.