4.11.3 Infrared Imagery Analysis

Chapter Contents (Back)
FLIR. Infrared.

Xenics,
2008. Infrared systems.
WWW Link. Vendor, Infrared. Various systems. E.g. analysis of people at an airport for determining fever. Leuven, Belgium.

Automation Technology,
1998
HTML Version. Vendor, 3D Scanner. Vendor, Inspection. Vendor, Infrared. Vendor, Image Processing. Image processing sensors for 3D, IR with applications to industrial automation and surveillance.

Ali, M., Martin, W.N., and Aggarwal, J.K.,
Color-Based Computer Analysis of Aerial Photographs,
CGIP(9), No. 3, March 1979, pp. 282-293.
Elsevier DOI Color space models. BibRef 7903

Underwood, S.A., Aggarwal, J.K.,
Interactive Computer Analysis of Aerial Color Infrared Photographs,
CGIP(6), No. 1, February 1977, pp. 1-24.
Elsevier DOI Color characteristics for aerial image analysis. BibRef 7702

Nandhakumar, N.,
Robust Physics-Based Analysis of Thermal and Visual Imagery,
JOSA-A(11), No. 11, November 1994, pp. 2981-2989.
See also Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation. BibRef 9411

Kapur, D., Saxena, T., Lakshman, Y.N.,
Computing Invariants Using Elimination Methods,
SCV95(97-102).
IEEE DOI State U. of New York Albany. Drexel Univ. BibRef 9500

Michel, J.D., Nandhakumar, N., Saxena, T.[Tushar], and Kapur, D.[Deepak],
Using Elimination Methods to Compute Thermophysical Algebraic Invariants from Infrared Imagery,
AAAI-96(1110-1115). BibRef 9600

Michel, J., Nandhakumar, N., Velten, V.,
Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition,
PAMI(19), No. 1, January 1997, pp. 41-51.
IEEE DOI 9702
Invariance. Use features of only the thermophysical properties of the object, i.e. not just surface reflection and surface geometry, but includes internal structure -- i.e. hot spots.
See also Robust Thermophysics-Based Interpretation of Radiometrically Uncalibrated IR Images for ATR and Site Change Detection. BibRef

Nandhakumar, N., Velten, V., Michel, J.,
Thermophysical Affine Invariants from IR Imagery for Object Recognition,
PBMCV95(SESSION 2) BibRef 9500
Earlier: A1, A2, Only: ARPA94(II:1403-1412). BibRef

Rivest, J.F., Fortin, R.,
Detection of Dim Targets in Digital Infrared Imagery by Morphological Image-Processing,
OptEng(35), No. 7, July 1996, pp. 1886-1893. 9608
BibRef

Russell, M.J., Nunez, M., Chladil, M.A., Valiente, J.A., Lopez Baeza, E.,
Conversion of Nadir, Narrow-Band Reflectance in Red and Near-Infrared Channels to Hemispherical Surface Albedo,
RSE(61), No. 1, July 1997, pp. 16-23. 9706
BibRef

Green, R.O., Eastwood, M.L., Sarture, C.M., Chrien, T.G., Aronsson, M., Chippendale, B.J., Faust, J.A., Pavri, B.E., Chovit, C.J., Solis, M.S., Olah, M.R., Williams, O.,
Imaging Spectroscopy and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS),
RSE(65), No. 3, September 1998, pp. 227-248. 9809
BibRef

Harris, J.G., Chiang, Y.M.,
Nonuniformity Correction of Infrared Image Sequences Using the Constant-Statistics Constraint,
IP(8), No. 8, August 1999, pp. 1148-1151.
IEEE DOI BibRef 9908

Fang, Y.C.[Yi-Chin], Wu, B.W.[Bo-Wen],
Prediction of the Thermal Imaging Minimum Resolvable (Circle) Temperature Difference with Neural Network Application,
PAMI(30), No. 12, December 2008, pp. 2218-2228.
IEEE DOI 0811
Analysis of IR imaging to determine best processing. BibRef

Hammoud, R.I.[Riad I.], (Ed.)
Augmented Vision Perception in Infrared Algorithms and Applied Systems,
Springer2009, ISBN: 978-1-84800-276-0
WWW Link. Infrared sensors and applications. Buy this book: Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition) BibRef 0900

Wilson, A.[Andrew],
IR Cameras Take Aim at Machine-Vision Applications,
VisSys(17), April 2012, pp. 34-37. Survey, Infrared. 1204
BibRef

Li, H.[Hu], Shi, J.H.[Jian-Hong], Zeng, G.H.[Gui-Hua],
Ghost imaging with nonuniform thermal light fields,
JOSA-A(30), No. 9, September 2013, pp. 1854-1861.
WWW Link. 1309
BibRef

Karp, S., Stotts, L.B.,
Visible/Infrared Imaging on the Rise,
SPMag(30), No. 6, 2013, pp. 178-182.
IEEE DOI 1312
In the Spotlight Section. cameras BibRef

Gade, R.[Rikke], Moeslund, T.B.[Thomas B.],
Thermal cameras and applications: a survey,
MVA(25), No. 1, January 2014, pp. 245-262.
WWW Link. 1402
Survey, Infrared. BibRef

Warrant, E.[Eric], Oskarsson, M., Malm, H.,
The Remarkable Visual Abilities of Nocturnal Insects: Neural Principles and Bioinspired Night-Vision Algorithms,
PIEEE(102), No. 10, October 2014, pp. 1411-1426.
IEEE DOI 1410
biomimetics BibRef

Warrant, E.[Eric],
Superior vision in nocturnal insects inspires new night vision technologies,
SPIE(Newsroom), April 11, 2016
DOI Link 1608
Algorithms that dramatically improve the quality of video sequences captured in very dim light have been developed on the basis of the neural mechanisms in nocturnal insects with excellent visual capabilities. BibRef

Yu, W.K.[Wen-Kai], Yao, X.R.[Xu-Ri], Liu, X.F.[Xue-Feng], Li, L.Z.[Long-Zhen], Zhai, G.J.[Guang-Jie],
Evaluation criterion of thermal light ghost imaging based on the receiver operating characteristic analysis,
JOSA-A(32), No. 6, June 2015, pp. 1084-1091.
DOI Link 1506
Probability theory, stochastic processes, and statistics BibRef

Hu, B.L.[Bin-Lin], Sun, D.[Dexin], Liu, Y.N.[Yin-Nian],
A Novel Method to Remove Fringes for Dispersive Hyperspectral VNIR Imagers Using Back-Illuminated CCDs,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Hu, B.L.[Bin-Lin], Zhang, J., Cao, K., Hao, S., Sun, D.X.[De-Xin], Liu, Y.N.[Yin-Nian],
Research on the Etalon Effect in Dispersive Hyperspectral VNIR Imagers Using Back-Illuminated CCDs,
GeoRS(56), No. 9, September 2018, pp. 5481-5494.
IEEE DOI 1809
Interference, Interferometers, Hyperspectral imaging, Image resolution, Photonics, Mathematical model, spectral analysis BibRef

Xu, Y.[Yue], Xie, S.B.[Shao-Biao], Liang, J.[Jian], Sun, D.X.[De-Xin], Qi, N.M.[Nai-Ming], Liu, Y.N.[Yin-Nian],
A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers,
GeoRS(58), No. 11, November 2020, pp. 7580-7588.
IEEE DOI 2011
Interference, Hyperspectral imaging, Harmonic analysis, Silicon, II-VI semiconductor materials, Cadmium compounds, short-wave infrared (SWIR) BibRef


Saragadam, V.[Vishwanath], Dave, A.[Akshat], Veeraraghavan, A.[Ashok], Baraniuk, R.G.[Richard G.],
Thermal Image Processing via Physics-Inspired Deep Networks,
LCI21(4040-4048)
IEEE DOI 2112
Temperature sensors, Thermal factors, Superresolution, Training data, Jitter, Cameras BibRef

Lv, F.F.[Fei-Fan], Zheng, Y.Q.[Yin-Qiang], Zhang, B.[Bohan], Lu, F.[Feng],
Turn a Silicon Camera Into an InGaAs Camera,
CVPR19(5980-5988).
IEEE DOI 2002
exploit the IR sensitivity (which is weak). BibRef

Kniaz, V.V., Gorbatsevich, V.S., Mizginov, V.A.,
Thermalnet: A Deep Convolutional Network for Synthetic Thermal Image Generation,
PTVSBB17(41-45).
DOI Link 1805
BibRef

Budzan, S.[Sebastian], Wyzgolik, R.[Roman],
Noise Reduction in Thermal Images,
ICCVG14(116-123).
Springer DOI 1410
BibRef

Ge, J.J., Qin, Y., Deng, D.B.,
Design of MWIR Continuous Zoom with Light Weight,
UAV-g13(147-150).
DOI Link 1311
thermal imaging continuous zoom system BibRef

Nezammahalleh, M.A., Noori, A.A., Afsharmanesh, H., Pourhosseini, Z., Rastegar, A., Rezai, H.S.S., Alavipanah, S.K.,
Identification of Active Areas of Earthquake by Thermal Remote Sensing,
SMPR13(295-299).
DOI Link 1311
BibRef

Jara, A.[Anselmo], Torres, F.[Flavio],
'De-Ghosting' Artifact in Scene-Based Nonuniformity Correction of Infrared Image Sequences,
CIARP11(613-620).
Springer DOI 1111
BibRef

Parra, F.[Francisca], Meza, P.[Pablo], Toro, C.[Carlos], Torres, S.[Sergio],
Infrared Focal Plane Array Imaging System Characterization by Means of a Blackbody Radiator,
CIARP11(105-112).
Springer DOI 1111
BibRef

Pezoa, J.E.[Jorge E.], Medina, O.J.[Osvaldo J.],
Spectral Model for Fixed-Pattern-Noise in Infrared Focal-Plane Arrays,
CIARP11(55-63).
Springer DOI 1111
BibRef

Morris, N.J.W.[Nigel J. W.], Avidan, S.[Shai], Matusik, W.[Wojciech], Pfister, H.[Hanspeter],
Statistics of Infrared Images,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Pesses, M., Tan, J., Hash, R., Swartz, R.,
Simulation of LWIR polarimetric observations of space objects,
AIPR02(164-170).
IEEE DOI 0210
BibRef

Sharpe, S.W., Sams, R.L., Johnson, T.J.,
The PNNL quantitative IR database for infrared remote sensing and hyperspectral imaging,
AIPR02(45-48).
IEEE DOI 0210
BibRef

Caulfield, J.T.,
Next generation IR focal plane arrays and applications,
AIPR03(7-10).
IEEE DOI 0310
BibRef

Sadjadi, F.A.[Firooz A.],
Invariants of Passive Infrared Polarization Transformations,
OTCBVS06(141).
IEEE DOI 0609
BibRef

Poglio, T.[Thierry], Savaria, E.[Eric], Wald, L.[Lucien],
OSIRIS: A Simulator of Outdoor Scenes in Thermal Infrared Range,
PCV02(A: 240). 0305
BibRef

Wood, R.A.,
Monolithic Silicon Microbolometer Arrays for Low-cost Uncooled Infrared Imagers,
CVBVS01(xx-yy). 0110
BibRef

Owens, K., Matthies, L.H.,
Passive Night Vision Sensor Comparison for Unmanned Ground Vehicle Stereo Vision Navigation,
CVBVS99(59).
IEEE DOI BibRef 9900

Smith, J., Ballard, Jr., J.,
Physics Based Modeling and Rendering of Vegetation in the Thermal Infrared,
PMCVG99(xx-yy). BibRef 9900

Snell, V., Mundy, J.L.[Joseph L.],
Change Detection in Midwave Infared Imagery: Thermal Invariants for Site Monitoring,
DARPA98(767-774). BibRef 9800

Stewart, C.V., Snell, V., Hamilton, D., Mundy, J.L.,
Thermal Invariants for Material Labeling and Site Monitoring Using Midwave Infrared Imagery,
DARPA97(503-512). BibRef 9700

Healey, G.[Glenn], and Benites, L.[Luis],
Linear Models for Infrared Spectra,
DARPA97(1267-1271). Abstract:
HTML Version. BibRef 9700

Lanterman, A., Miller, M.I., Snyder, D.L.,
Representations of Thermodynamic Variability in the Automated Understanding of FLIR Scenes,
SPIE(2756), April 1996, pp. 26-37. BibRef 9604
And:
The Unification of Detection, Tracking, and Recognition for Millimeter Wave and Infrared Sensors,
SPIE(2562), Radar/Ladar Processing, July 1995, pp. 150-161. BibRef
And:
Implementation of Jump-Diffusion Algorithms for Understanding FLIR Scenes,
SPIE(2485), Automatic Object Recognition V, April 1995, pp. 309-320. BibRef

Foulkes, P.W.,
Towards Infrared Image Understanding,
Ph.D.Thesis, 1991. BibRef 9100 Oxford Univ. BibRef

Barnett, K., and Trivedi, M.M.,
Analysis of Thermal Infrared and Visual Images for Industrial Inspection Tasks,
SPIE(1095), Applications of AI VII, March 1989, pp. 482-488. Sensor Fusion. BibRef 8903

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Polarization Effects, Polarized Light .


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