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Matching trees between different surveys (e.g., lidar-derived and field-measured) is challenging due to non-rigid and local misalignments. This package introduces a robust approach where X and Y come from the spatial coordinates and Z is synthesized from tree DBH or tree height to improve the quality of the matching.
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The current version includes on matching strategies based on solving Linear Sum Assignment Problem with the [Hungarian algorithm](https://en.wikipedia.org/wiki/Hungarian_algorithm).
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The current version includes one matching strategy based on solving Linear Sum Assignment Problem with the [Hungarian algorithm](https://en.wikipedia.org/wiki/Hungarian_algorithm).
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Read the [tutorial 📖](https://r-lidar.github.io/TreeMatching/articles/Tutorial.html)
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