A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data
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DOI: 10.1109/tgrs.2020.3012343
Abstract: Crown features derived from high-density airborne laser scanning (ALS) data have proven to be effective for forest species classification at the individual tree level. Most of the general state-of-the-art (SoA) techniques rely on coarse-level crown… read more here.
Keywords: high density; quantization; species classification; density airborne ... See more keywords