David J. Lary

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 10

Top Topics

Spectral Imagery

Machine Learning

Top Venues

J. Field Robotics

IEEE Commun. Mag.

Publications

Xiaohe Yu, David J. Lary, Christopher S. Simmons, Lakitha O. H. Wijeratne
High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source. Remote. Sens. 14 (3) (2022)
Shawhin Talebi, David J. Lary, Lakitha O. H. Wijeratne, Bharana Fernando, Tatiana Lary, Matthew D. Lary, John Sadler, Arjun Sridhar, John Waczak, Adam R. Aker, Yichao Zhang
Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales. Sensors 22 (11) (2022)
Shawhin Talebi, John Waczak, Bharana Fernando, Arjun Sridhar, David J. Lary
Data-Driven EEG Band Discovery with Decision Trees. Sensors 22 (8) (2022)
David J. Lary, David Schaefer, John Waczak, Adam R. Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Sadler, Tatiana Lary, Matthew D. Lary
Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning. Sensors 21 (6) (2021)
Xiaohe Yu, David J. Lary
Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification. Remote. Sens. 13 (16) (2021)
Xiaohe Yu, David J. Lary, Christopher S. Simmons
PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD. Remote. Sens. 13 (23) (2021)
Yichao Zhang, Lakitha O. H. Wijeratne, Shawhin Talebi, David J. Lary
Machine Learning for Light Sensor Calibration. Sensors 21 (18) (2021)
Lakitha O. H. Wijeratne, Daniel R. Kiv, Adam R. Aker, Shawhin Talebi, David J. Lary
Using Machine Learning for the Calibration of Airborne Particulate Sensors. Sensors 20 (1) (2020)
Kenneth K. O, Wooyeol Choi, Qian Zhong, Navneet Sharma, Yaming Zhang, Ruonan Han, Zeshan Ahmad, Dae Yeon Kim, Sandeep Kshattry, Ivan R. Medvedev, David J. Lary, Hyun-Joo Nam, Philip Raskin, Insoo Kim
Opening Terahertz for Everyday Applications. IEEE Commun. Mag. 57 (8) (2019)
Juan-Pablo Ramirez-Paredes, David J. Lary, Nicholas R. Gans
Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor. J. Field Robotics 33 (6) (2016)
Nabin K. Malakar, David J. Lary, A. Moore, D. Gencaga, Bryan Roscoe, Arif Albayrak, Jennifer Wei
Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing. CIDU (2012)
Amir Khan, David Schaefer, Lei Tao, David J. Miller, Kang Sun, Mark A. Zondlo, William A. Harrison, Bryan Roscoe, David J. Lary
Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles. Remote. Sens. 4 (5) (2012)
David J. Lary, Lorraine Remer, Devon MacNeill, Bryan Roscoe, Susan Paradise
Machine Learning and Bias Correction of MODIS Aerosol Optical Depth. IEEE Geosci. Remote. Sens. Lett. 6 (4) (2009)
David J. Lary
Autonomous Objectively Optimized Observing Systems. IGARSS (2007)
Christopher P. Loughner, David J. Lary, Lynn C. Sparling, Ronald C. Cohen, Phil DeCola, William R. Stockwell
A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space. IEEE Trans. Geosci. Remote. Sens. 45 (5-2) (2007)
David J. Lary, Leslie Lait
Using probability distribution functions for satellite validation. IEEE Trans. Geosci. Remote. Sens. 44 (5) (2006)
Hamse Y. Mussa, David J. Lary, Robert C. Glen
Building Structure-Property Predictive Models Using Data Assimilation. CompLife (2006)