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Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications.

Sensors (Basel) · 2018 · PMC6165460 · PMID 30213109

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a decreasing trendno p-value reported
Then the relationship between the under-segmentation error and the number of supervoxels was shown as following: Since the number of super voxels increased, the over-segmentation errors of the four methods show a decreasing trend.

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