A spatiotemporal laser-beam model and inverse unmixing approach decomposes each FW-LiDAR footprint into fractional sub-target contributions to recover corrected intensities.
Mapping 3D Visibility in an nrban Street Environment from Mobile LiDAR Point Clouds
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Sub-Footprint Effect Correction in FW-LiDAR Point Clouds via Intra-Footprint Target Unmixing
A spatiotemporal laser-beam model and inverse unmixing approach decomposes each FW-LiDAR footprint into fractional sub-target contributions to recover corrected intensities.