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Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery

Zachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We investigate a procedure for rapidly adding calibrated vehicle visible-near infrared (VNIR) paint signatures to an existing hyperspectral simulator -The Digital Imaging and Remote Sensing Image Generation  ...  However, this database contains only a few spectral curves for vehicle paints and generates new paint signatures by combining these curves internally.  ...  We thank Carl Salvaggio, Nanette Salvaggio, Emmett Ientilucci, Nina Raqueno and Tania Kleynhans for feedback throughout the drafting phase of this paper.  ... 
doi:10.1109/cvprw50498.2020.00063 dblp:conf/cvpr/MulhollanRBHV20 fatcat:vur6rlwkvrepbf7yr3f7h3snxe

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery [article]

Zachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek
2020 arXiv   pre-print
We investigate a procedure for rapidly adding calibrated vehicle visible-near infrared (VNIR) paint signatures to an existing hyperspectral simulator - The Digital Imaging and Remote Sensing Image Generation  ...  However, this database contains only a few spectral curves for vehicle paints and generates new paint signatures by combining these curves internally.  ...  We thank Carl Salvaggio, Nanette Salvaggio, Emmett Ientilucci, Nina Raqueno and Tania Kleynhans for feedback throughout the drafting phase of this paper.  ... 
arXiv:2004.08228v1 fatcat:e5b627qsufgfvc3z4xkdaji3pa

Dynamic scene generation, multimodal sensor design, and target tracking demonstration for hyperspectral/polarimetric performance-driven sensing

Michael D. Presnar, Alan D. Raisanen, David R. Pogorzala, John P. Kerekes, Andrew C. Rice
2010 Polarization: Measurement, Analysis, and Remote Sensing IX  
Simulation of moving vehicle tracking has been demonstrated using hyperspectral and polarimetric imagery (HSI/PI).  ...  performance-driven sensing of moving vehicle targets.  ...  In this manner, hyperspectral imagery (HSI) aiding has been tied into a target tracker for an end-to-end simulation.  ... 
doi:10.1117/12.849469 fatcat:ndanwfqfzbgdzawb6mmkvdxv3m

SpecTIR hyperspectral airborne Rochester experiment data collection campaign

Jared A. Herweg, John P. Kerekes, Oliver Weatherbee, David Messinger, Jan van Aardt, Emmett Ientilucci, Zoran Ninkov, Jason Faulring, Nina Raqueño, Joseph Meola, Sylvia S. Shen, Paul E. Lewis
2012 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII  
Airborne imagery was collected over the city of Rochester with hyperspectral, multispectral, and Light Detection and Ranging (LiDAR) sensors.  ...  Sites for data collection included the Genesee River, sections of downtown Rochester, and the RIT campus.  ...  Robert Callens of Honeoye Falls-Lima Central School District, for their assistance in taking laboratory and field measurements.  ... 
doi:10.1117/12.919268 fatcat:v5ildgyacvfj7gyezevzgxj3ei

Military applications of hyperspectral imagery

X. Briottet, Y. Boucher, A. Dimmeler, A. Malaplate, A. Cini, M. Diani, H. Bekman, P. Schwering, T. Skauli, I. Kasen, I. Renhorn, L. Klasén (+4 others)
2006 Targets and Backgrounds XII: Characterization and Representation  
imaging for detection, recognition and identification of targets, including low-signature targets; • identify applications where spectral imaging can provide a strong gain in performance; • propose technical  ...  Cameo-Sim simulation software is presented including first validation results and the generation of spectral synthetic images.  ...  Prior to the information-extracting processing steps, some form of preprocessing is usually applied to the data, for example to apply sensor calibration coefficients or to compensate for effects of platform  ... 
doi:10.1117/12.672030 fatcat:2jpndq4qqzfspfi45p6tavh2xy

Thermal imagery spectral analysis

Brian H. Collins, Richard C. Olsen, John A. Hackwell, Michael R. Descour, Sylvia S. Shen
1997 Imaging Spectrometry III  
The analysis of hyperspectral imagery differs dramatically from the literal interpretation of single-band imagery because of the nature of hyperspectral data.  ...  The two vehicle templates were representative of different types of paint observed on the vehicles. Thesetemplates are shown in Figure 3.5.  ... 
doi:10.1117/12.278929 fatcat:iifchra3ffhudgrg34x47m7yvi

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

John P. Kerekes, Michael D. Presnar, Kenneth D. Fourspring, Zoran Ninkov, David R. Pogorzala, Alan D. Raisanen, Andrew C. Rice, Juan R. Vasquez, Jeffrey P. Patel, Robert T. MacIntyre, Scott D. Brown, Sylvia S. Shen (+1 others)
2009 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV  
Simulation of moving vehicles in a highfidelity, hyperspectral scene is used to generate a dynamic video input for the adaptive sensor.  ...  Performance-driven algorithms for feature-aided target tracking and modality selection exploit multiple electromagnetic observables to track moving vehicle targets.  ...  Although they were not used for the simulation shown in Figure 2 , BRDF models will be used in conjunction with the spectral reflectance curves for the vehicle paints for this study.  ... 
doi:10.1117/12.819265 fatcat:ocjrelp5yvfynnpshs3lrrbaw4

Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features

Burak Uzkent, Matthew J. Hoffman, Anthony Vodacek
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Wide field of view (FOV) panchromatic imagery is used to remove global camera motion whereas narrow FOV hyperspectral image is used to detect the target of interest (TOI).  ...  Vehicle tracking from a moving aerial platform poses a number of unique challenges including the small number of pixels representing a vehicle, large camera motion, and parallax error.  ...  Some methods have been proposed to precisely calibrate hyperspectral sensors onboard.  ... 
doi:10.1109/cvprw.2016.181 dblp:conf/cvpr/UzkentHV16 fatcat:ocpydehvwzhrplgwzgkwdlv75e

Radiometric Assessment of a UAV-Based Push-Broom Hyperspectral Camera

M. Alejandra P. Barreto, Kasper Johansen, Yoseline Angel, Matthew F. McCabe
2019 Sensors  
The use of unmanned aerial vehicles (UAVs) for Earth and environmental sensing has increased significantly in recent years.  ...  This is particularly true for multi- and hyperspectral sensing, with a variety of both push-broom and snap-shot systems becoming available.  ...  UAV-based hyperspectral sensors can be classified broadly into out the difficulties of obtaining radiance for some imagery, as well as the problems often arising from the characteristics of the calibration  ... 
doi:10.3390/s19214699 fatcat:u7kdn26cgjcbzlhc375rhfrqxi

System characterization and analysis of the Multispectral Aerial Passive Polarimeter System (MAPPS)

Brent D. Bartlett, Jason F. Faulring, Carl Salvaggio
2011 Polarization Science and Remote Sensing V  
Passive polarimetery has been used for many different remote sensing applications and can provide useful signatures for certain types of phenomenology.  ...  Preliminary data is presented along with a calibration and processing workflow that produces registered spectral Stokes imagery.  ...  of Technology for generously providing funding for all hardware.  ... 
doi:10.1117/12.892327 fatcat:zfrk5b36pzhhdl67og2aemoo5u

The Future of Hyperspectral Imaging

Stefano Selci
2019 Journal of Imaging  
The Special Issue on hyperspectral imaging (HSI), entitled "The Future of Hyperspectral Imaging", has published 12 papers.  ...  Specific topics explored by using data obtained by HSI include alert on the sprouting of potato tubers, the investigation on the stability of painting samples, the prediction of healing diabetic foot ulcers  ...  Acknowledgments: The Guest Editor would like to acknowledge the time and contributions of the authors (both successful and unsuccessful) who prepared papers for this Special Issue.  ... 
doi:10.3390/jimaging5110084 pmid:34460507 fatcat:7hsqcmc3rvdkvejemmvp45mwzm

A System Approach to Adaptive Multimodal Sensor Designs [chapter]

Tao Wang, Zhigang Zhu, Robert S. Krzaczek, Harvey E. Rhody
2011 Machine Vision Beyond Visible Spectrum  
This design is inspired by the biological vision systems for achieving real-time target detection and recognition with a hyperspectral/range fovea and panoramic peripheral view.  ...  PLEASE DO NOT RETURN YO UR FORM TO THE ABOVE ADDRESS. on the integration of tools for the physics-based simulation of complex scenes and targets, sensor modeling, and multimodal data exploitation.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon.  ... 
doi:10.1007/978-3-642-11568-4_7 fatcat:anyk3csk3vhvbeo2upzexyzxcy

HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System

Arko Lucieer, Zbyněk Malenovský, Tony Veness, Luke Wallace
2014 Journal of Field Robotics  
In this paper, we describe the design, development, airborne operations, calibration, processing, and interpretation of image data collected with a new hyperspectral unmanned aircraft system (HyperUAS)  ...  In this paper, we describe the design, development, airborne operations, in addition to calibration, processing and interpretation of image data collected with a new hyperspectral unmanned aircraft system  ...  Darren Turner is acknowledged for his technical support and piloting HyperUAS in Tasmania. We thank Aadit Shrestha for his assistance with PARGE processing and data collection for Experiment III.  ... 
doi:10.1002/rob.21508 fatcat:golpbazwu5gl7b5a4yye6amn2a

Underwater hyperspectral imagery to create biogeochemical maps of seafloor properties [chapter]

G. Johnsen, Z. Volent, H. Dierssen, R. Pettersen, M.Van Ardelan, F. Søreide, P. Fearns, M. Ludvigsen, M. Moline
2013 Subsea Optics and Imaging  
This chapter presents aspects of underwater hyperspectral imaging (UHI) techniques aimed at mapping biogeochemical objects of interest (OOI) on the seafl oor.  ...  Corrections for platform speed and direction, inherent optical properties (IOP), optical path length, dynamic positioning, and pitch/roll/yaw are discussed in the context of using UHI-based optical fi  ...  Offi ce of Naval Research (Dierssen) and Statoil contract number 4501535437 'Underwater Hyperspectral Imager' (Johnsen and Pettersen).  ... 
doi:10.1533/9780857093523.3.508 fatcat:2uaqchl3vna5vax53sw4bgf46u

Applications of independent component analysis (ICA) in endmember extraction and abundance quantification for hyperspectral imagery

Jing Wang, Chein-I Chang, Sylvia S. Shen, Paul E. Lewis
2006 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII  
This paper investigates a new application of the ICA in endmember extraction and abundance quantification for hyperspectral imagery.  ...  An endmember is generally referred to as an idealized pure signature for a class whose presence is considered to be rare. When it occurs, it may not appear in large population.  ...  Plaza who provides the Cuprite AVIRIS data with ground truth and valuable discussions including PPI's implementation and results for Cuprite data.  ... 
doi:10.1117/12.665283 fatcat:r2a3g27oqzfrbhqmk652ywiona
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