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Based on the three-step cluster representation framework, we construct a comprehensive configuration space.
Specifically, we combine two methods for plot-level elevation estimation in Step one, eight strategies for selecting reliable plots in Step two, and two methods for group-level elevation estimation in Step three. This results in a total of 32 different configurations for representative elevation angle estimation. Each configuration corresponds to a unique combination of plot estimation, plot selection, and group representation, as summarized in the table on the right. These configurations are systematically evaluated to analyze their impact on elevation accuracy and tracking performance. |