Geographic object-based image analysis (GEOBIA): Emerging trends and future opportunities
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …
Urban land cover classification using airborne LiDAR data: A review
Distribution of land cover has a profound impact on the climate and environment; mapping
the land cover patterns from global, regional to local scales are important for scientists and …
the land cover patterns from global, regional to local scales are important for scientists and …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Hyperspectral and lidar data applied to the urban land cover machine learning and neural-network-based classification: A review
Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …
for using machine learning algorithms to map urban environments. Both hyperspectral and …
Relevance assessment of full-waveform lidar data for urban area classification
Full-waveform lidar data are increasingly being available. Morphological features can be
retrieved from the echoes composing the waveforms, and are now extensively used for a …
retrieved from the echoes composing the waveforms, and are now extensively used for a …
OPALS–A framework for Airborne Laser Scanning data analysis
A framework for Orientation and Processing of Airborne Laser Scanning point clouds,
OPALS, is presented. It is designed to provide tools for all steps starting from full waveform …
OPALS, is presented. It is designed to provide tools for all steps starting from full waveform …
Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning
A Serna, B Marcotegui - ISPRS Journal of Photogrammetry and Remote …, 2014 - Elsevier
We propose an automatic and robust approach to detect, segment and classify urban
objects from 3D point clouds. Processing is carried out using elevation images and the result …
objects from 3D point clouds. Processing is carried out using elevation images and the result …
Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
This paper introduces a new GIS workflow for urban vegetation mapping from high-density
(50pts./m2) full-waveform airborne LiDAR data, combining the advantages of both raster and …
(50pts./m2) full-waveform airborne LiDAR data, combining the advantages of both raster and …
Multi-wavelength canopy LiDAR for remote sensing of vegetation: Design and system performance
G Wei, S Shalei, Z Bo, S Shuo, L Faquan… - ISPRS Journal of …, 2012 - Elsevier
A new multi-wavelength canopy LiDAR (MWCL) system intended for the remote sensing of
vegetation reflection was designed and its measurement performance was investigated. The …
vegetation reflection was designed and its measurement performance was investigated. The …
Terrain slope effect on forest height and wood volume estimation from GEDI data
The Global Ecosystem Dynamics Investigation LiDAR (GEDI) is a new full waveform (FW)
based LiDAR system that presents a new opportunity for the observation of forest structures …
based LiDAR system that presents a new opportunity for the observation of forest structures …