UAV Flight Height Selection for Accurate Crop Spectral Phenotyping
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Solution Overview
Problem
UAV low-altitude remote sensing technologies face challenges in balancing flight height and ground resolution to achieve accurate phenotypic parameter extraction, as higher flight heights improve efficiency but reduce ground resolution and increase mixed pixel effects, while lower heights increase flight time and costs.
Innovation Solution
A method and system that determine an optimal flight height for UAVs by obtaining multi-band crop spectral images, processing them to calculate ground resolution, and using nearest neighbor interpolation and hypothetical testing to find the optimal height for phenotypic parameter extraction accuracy, ensuring efficient and cost-effective data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the flight height is reduced to obtain high ground resolution, then the ground resolution is improved, but the flight time increases and experimental costs increase
Solution Approach 1:
The patent applies parameter changes by systematically varying the flight height parameter to find the optimal value that balances ground resolution and flight time. Through hypothetical testing at different flight heights, the method identifies the specific parameter setting (flight height) that achieves the best trade-off between measurement precision and time consumption.
2Productivity
If the flight height is increased to improve flight efficiency, then the flight efficiency is improved, but the ground resolution is reduced and mixed pixel effect is aggravated
Solution Approach 1:
The patent uses parameter changes by adjusting the flight height parameter to optimize the balance between productivity (flight efficiency) and measurement precision (ground resolution). The hypothetical testing method evaluates different parameter settings to identify the optimal flight height that maintains acceptable ground resolution while improving flight efficiency.
3Loss of time
If the flight height is increased, then the flight time is reduced, but the mixed pixel effect is aggravated and accuracy of phenotypic analysis is reduced
Solution Approach 1:
The patent applies parameter changes by varying flight height to find the optimal setting that minimizes flight time while maintaining the accuracy of phenotypic analysis. The hypothetical testing evaluates how different parameter values affect both time consumption and analysis accuracy, identifying the optimal compromise point.
Data Source
AI summary
The present disclosure provides a method and system for determining an optimal flight height of an unmanned aerial vehicle (UAV), an electronic device, and a medium. The method includes: obtaining a multi-band crop spectral image of an experimental area in a preset scenario; performing data processing on the multi-band crop spectral image, to obtain multi-spectral orthographies of a plurality of sample plots; calculating a ground resolution of the multi-spectral orthography of each sample plot, simulating and determining a multi-band crop spectral image of each sample plot at a different flight height by a nearest neighbor interpolation method based on the ground resolution of the multi-spectral orthography of each sample plot; and for the multi-band crop spectral image of each sample plot at the different flight height, determining an optimal flight height corresponding to each sample plot by a hypothetical test method.