Vehicle detection from airborne LiDAR point clouds based on a decision tree algorithm with horizontal and vertical features

Research paper by Junho Eum, Minho Bae, Junbeom Jeon, Heezin Lee, Sangyoon Oh, Minsu Lee

Indexed on: 23 Jan '17Published on: 16 Jan '17Published in: Remote sensing letters (Print)

Abstract

Authors: Junho Eum ; Minho Bae ; Junbeom Jeon ; Heezin Lee ; Sangyoon Oh ; Minsu Lee Article URL: http://www.tandfonline.com/doi/full/10.1080/2150704X.2016.1278310?ai=z4&mi=3fqos0&af=R Citation: Remote Sensing Letters Publication Date: 2017-01-16T01:03:43Z Journal: Remote Sensing Letters

Vehicle detection from airborne LiDAR point clouds based on a decision tree algorithm with horizontal and vertical features

Abstract

More like this:

First retrieval of fire radiative power from COMS data using the mid-infrared radiance method

Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra

Surface strain rates and crevassing of Campbell Glacier Tongue in East Antarctica analysed by tide-corrected DInSAR

Vehicle detection from airborne LiDAR point clouds based on a decision tree algorithm with horizontal and vertical features

Abstract

More like this:

First retrieval of fire radiative power from COMS data using the mid-infrared radiance method

Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra

Surface strain rates and crevassing of Campbell Glacier Tongue in East Antarctica analysed by tide-corrected DInSAR

This website uses cookies