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A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation

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Figure

Fig. 1. Flowchart of the proposed framework.
Fig. 2. Example of HSeg pruning: (a) hierarchical segmentation using HSeg algorithm, (b) pruning of the HSeg, and (c) final segmentation map.
Fig. 4. Example of standard deviation value associated with the belonging region for a considered pixel as a function of the segmentation level.
Fig. 6. False-color composite of the University of Houston dataset obtained from LiDAR data: (a) pseudo-waveform (RGB: bands 20, 10, and 15), (b) DSM, and (c) intensity.
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