Sorin C. Popescu

Orcid: 0000-0002-8155-8801

According to our database1, Sorin C. Popescu authored at least 27 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application.
Remote. Sens., August, 2024

2023
Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas.
Remote. Sens., November, 2023

ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform.
Sensors, April, 2023

A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA.
Remote. Sens., March, 2023

Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas.
Remote. Sens., January, 2023

Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery.
Comput. Electron. Agric., 2023

2022
Woody Plant Encroachment: Evaluating Methodologies for Semiarid Woody Species Classification from Drone Images.
Remote. Sens., 2022

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning.
CoRR, 2022

Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages.
CoRR, 2022

Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications.
CoRR, 2022

2021
Regionalization of an Existing Global Forest Canopy Height Model for Forests of the Southern United States.
Remote. Sens., 2021

2020
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example.
Remote. Sens., 2020

PhotonLabeler: An Inter-Disciplinary Platform for Visual Interpretation and Labeling of ICESat-2 Geolocated Photon Data.
Remote. Sens., 2020

Feasibility of Burned Area Mapping Based on ICESAT-2 Photon Counting Data.
Remote. Sens., 2020

2019
waveformlidar: An R Package for Waveform LiDAR Processing and Analysis.
Remote. Sens., 2019

Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning.
Remote. Sens., 2019

A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting.
Remote. Sens., 2019

2018
Automated Estimation of Standing Dead Tree Volume Using Voxelized Terrestrial Lidar Data.
IEEE Trans. Geosci. Remote. Sens., 2018

Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.
Sensors, 2018

From LiDAR Waveforms to Hyper Point Clouds: A Novel Data Product to Characterize Vegetation Structure.
Remote. Sens., 2018

Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures.
Remote. Sens., 2018

Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2016
An IPCC-Compliant Technique for Forest Carbon Stock Assessment Using Airborne LiDAR-Derived Tree Metrics and Competition Index.
Remote. Sens., 2016

2015
Terrestrial Laser Scanning as an Effective Tool to Retrieve Tree Level Height, Crown Width, and Stem Diameter.
Remote. Sens., 2015

Modeling Forest Aboveground Biomass and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest.
Remote. Sens., 2015

2013
Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey.
GeoInformatica, 2013

2012
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning.
Remote. Sens., 2012


  Loading...