A Practical Temperature and Emissivity Separation Framework With Reanalysis Atmospheric Profiles for Hyper-Cam Airborne Thermal Infrared Hyperspectral Imagery

L Gao, Y Zhong, L Cao, J He… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Compared with land surface temperature (LST) and land surface emissivity (LSE) retrieval
from single-band or multispectral thermal infrared (TIR) data, TIR hyperspectral imagery …

Deep greedy learning under thermal variability in full diurnal cycles

P Rauss, D Rosario - Optical Engineering, 2017 - spiedigitallibrary.org
We study the generalization and scalability behavior of a deep belief network (DBN) applied
to a challenging long-wave infrared hyperspectral dataset, consisting of radiance from …

Solid target spectral variability in lwir

D Rosario, C Borel, J Romano - Algorithms and Technologies …, 2016 - spiedigitallibrary.org
We continue to highlight the pattern recognition challenges associated with solid target
spectral variability in the longwave infrared (LWIR) region of the electromagnetic spectrum …

Understanding of multi-domain battle challenges: AI/ML and the day/night thermal variability of targets

P Rauss, D Rosario - … and Machine Learning for Multi-Domain …, 2019 - spiedigitallibrary.org
Better understanding of Multi Domain Battle (MDB) challenges in complex military
environments may start by gaining a basic scientific appreciation of the level of …

Hyperspectral-based verses polarimetric-based anomaly detection in the LWIR

D Rosario, J Romano - 2016 8th Workshop on Hyperspectral …, 2016 - ieeexplore.ieee.org
We examine for the first time in the scientific community the application of hyperspectral (HS)
based anomaly detection in contrast to polarimetric (POL) based anomaly detection in the …

Typical data models are inadequate for hypertemporal imagery

D Rosario, J Romano - 2015 IEEE International Geoscience …, 2015 - ieeexplore.ieee.org
We highlight challenges associated with using conventional pattern recognition methods to
test imagery from a persistent longwave infrared remote sensing experiment, where material …

[图书][B] Hyperspectral and Hypertemporal Longwave Infrared Data Characterization

N Jeganathan - 2017 - search.proquest.com
Abstract The Army Research Lab conducted a persistent imaging experiment called the
Spectral and Polarimetric Imagery Collection Experiment (SPICE) in 2012 and 2013 which …

Deep learning over diurnal and other environmental effects

D Rosario, P Rauss - Algorithms and Technologies for …, 2017 - spiedigitallibrary.org
We study the transfer learning behavior of a Hybrid Deep Network (HDN) applied to a
challenging longwave infrared hyperspectral dataset, consisting of radiance from several …

Characterizing the temporal and spatial variability of longwave infrared spectral images of targets and backgrounds

N Jeganathan, J Kerekes… - … and Technologies for …, 2017 - spiedigitallibrary.org
Following the public release of the Spectral and Polarimetric Imagery Collection Experiment
(SPICE) dataset, a persistent imaging experiment dataset collected by the Army Research …