12.1.4.3 Image and Sensor Fusion -- IR and Thermal

Nandhakumar, N., Aggarwal, J.K.,
Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation,
PIEEE(85), No. 1, January 1997, pp. 147-163. 9701
BibRef
Earlier:
Integrating Information from Thermal and Visual Images for Scene Analysis,
SPIE(635), 1986, pp. 132-142. See also Integrated Analysis of Thermal and Visual Images for Scene Interpretation. BibRef

Nandhakumar, N., and Aggarwal, J.K.,
Thermal and Visual Information Fusion for Outdoor Scene Perception,
CRA88(1306-1308). BibRef 8800

Nandhakumar, N., Karthik, S., Aggarwal, J.K.,
Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis,
PR(27), No. 10, October 1994, pp. 1303-1316.
WWW Version. Sensor Fusion. BibRef 9410

Aggarwal, J.K., and Nandhakumar, N.,
Multisensor Fusion for Automatic Scene Interpretation,
AIRI90(339-361). BibRef 9000

Nandhakumar, N., Malik, S.,
Multisensor Integration for Underwater Scene Classification,
AppIntel(5), No. 3, July 1995, pp. 207-216. BibRef 9507

Nandhakumar, N.,
Robust Feature Evaluation For Multisensory Computer Vision,
ICPR92(II:446-449).
IEEE DOI Link BibRef 9200

Michel, J., Nandhakumar, N.,
Unified 3D Models for Multisensor Image Synthesis,
GMIP(57), No. 4, July 1995, pp. 283-302. BibRef 9507

Oh, C., Nandhakumar, N., and Aggarwal, J.K.,
Integrated Modelling of Thermal and Visual Image Generation,
CVPR89(356-362).
IEEE Abstract. Sensor Fusion. More on sensor fusion. BibRef 8900

Nandhakumar, N., and Aggarwal, J.K.,
Integrated Analysis of Thermal and Visual Images for Scene Interpretation,
PAMI(10), No. 4, July 1988, pp. 469-481.
IEEE Abstract.
IEEE DOI Link BibRef 8807
Earlier:
Multisensor Fusion for Scene Perception: Integrating Thermal and Visual Imagery,
Univ. of TexasTR-87-9-41, August 1987. BibRef
Multisensor Integration: Experiments in Integrating Thermal and Visual Sensors,
ICCV87(83-92). Sensor Fusion. Combining thermal and visible to get better segmentations and classifications, the two are done together. It uses temperature characteristics etc. See also Physics-Based Integration of Multiple Sensing Modalities for Scene Interpretation. BibRef

Flynn, A.M.,
Combining Sonar and Infrared Sensors for Mobile Robot Navigation,
IJRR(7), No. 6, 1988, pp. 5-14. BibRef 8800

Nakamura, T.[Tetsuya],
Monitoring system employing infrared image,
US_Patent5,133,605, Jul 28, 1992
WWW Version. Visible to limit IR analysis area. BibRef 9207

Li, H.H.[Hui H.], Zhou, Y.T.[Yi-Tong],
Automatic Visual/IR Image Registration,
OptEng(35), No. 2, February 1996, pp. 391-400. BibRef 9602
Earlier:
Automatic EO/IR sensor image registration,
ICIP95(II: 161-164).
IEEE DOI Link 9510
BibRef
And: ICIP95(III: 240-243).
IEEE DOI Link 9510
BibRef

Zhou, Y.T.,
Multi-sensor image fusion,
ICIP94(I: 193-197).
IEEE DOI Link 9411
BibRef

Toet, A., IJspeert, J.K., Waxman, A.M., Aguilar, M.,
Fusion of Visible and Thermal Imagery Improves Situational Awareness,
Displays(18), No. 2, December 30 1997, pp. 85-95. 9802
BibRef

Agassi, E., Benyosef, N.,
Influence of Scene Topography on the Observed Correlation Between Thermal Infrared and Visible/Near-Infrared Images of Ground Terrain,
JRS(18), No. 18, December 1997, pp. 3853-3865. 9801
BibRef

Guo, L.J., Moore, J.M.,
Pixel Block Intensity Modulation: Adding Spatial Detail to TM Band-6 Thermal Imagery,
JRS(19), No. 13, September 10 1998, pp. 2477-2491. 9810
BibRef

Saraf, A.K.,
RS-1C-LISS-III and PAN data fusion: an approach to improve remote sensing based mapping techniques,
JRS(20), No. 10, July 1999, pp. 1929. BibRef 9907

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince], Nandhakumar, N.,
Dominant-Subspace Invariants,
PAMI(22), No. 7, July 2000, pp. 649-662.
IEEE Abstract.
IEEE DOI Link 0008
Lie Groups. How to actually compute the invariants for some property. BibRef

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince],
Lie Group Analysis in Object Recognition,
DARPA97(1173-1178). BibRef 9700

Arnold, D.G.[D. Gregory], Sturtz, K.[Kirk], Velten, V.[Vince],
Invariants of the LWIR Thermophysical Model,
CVBVS99(49).
IEEE DOI Link BibRef 9900
Earlier:
Quasi-Invariants of the Thermophysical Model,
DARPA98(883-892). BibRef

Chen, H.M., Varshney, P.K.,
Automatic two-stage IR and MMW image registration algorithm for concealed weapons detection,
VISP(148), No. 4, August 2001, pp. 209-216. 0201
BibRef

Ricchetti, E.,
Visible-infrared and radar imagery fusion for geological application: a new approach using DEM and sun-illumination model,
JRS(22), No. 11, July 2001, pp. 2219-2230. 0201
BibRef

Segl, K., Roessner, S., Heiden, U., Kaufmann, H.,
Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data,
PandRS(58), No. 1, June 2003, pp. 99-112.
WWW Version. 0307
BibRef

Dousset, B., Gourmelon, F.,
Satellite multi-sensor data analysis of urban surface temperatures and landcover,
PandRS(58), No. 1, June 2003, pp. 43-54.
WWW Version. 0307
BibRef

Gao, F., Masek, J., Schwaller, M., Hall, F.,
On the Blending of the Landsat and MODIS Surface Reflectance: Predicting Daily Landsat Surface Reflectance,
GeoRS(44), No. 8, August 2006, pp. 2207-2218.
IEEE DOI Link 0608
BibRef

Gautam, R.S., Singh, D., Mittal, A.,
A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique,
SIViP(1), No. 4, October 2007, pp. 347-357.
Springer DOI Link 0711
BibRef

Nagla, K.S., Uddin, M.[Moin], Singh, D.[Dilbag], Kumar, R.[Rajeev],
Object identification in dynamic environment using sensor fusion,
AIPR10(1-4).
IEEE DOI Link 1010
BibRef

Lee, J.H., Kim, Y.S., Lee, D., Kang, D.G., Ra, J.B.,
Robust CCD and IR Image Registration Using Gradient-Based Statistical Information,
SPLetters(17), No. 4, April 2010, pp. 347-350.
IEEE DOI Link 1003
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], Torabi, A.[Atousa], Morin, F.,
Visible and infrared image registration using trajectories and composite foreground images,
IVC(29), No. 1, January 2011, pp. 41-50.
Elsevier DOI Link
WWW Version. 1011
Infrared; Registration; Multi-sensors; Trajectories; Foreground images BibRef

Morin, F.[François], Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
Automatic Registration of Color and Infrared Videos Using Trajectories Obtained from a Multiple Object Tracking Algorithm,
CRV08(311-318).
IEEE DOI Link 0805
BibRef

Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
Local self-similarity as a dense stereo correspondence measure for themal-visible video registration,
OTCBVS11(61-67).
IEEE DOI Link 1106
BibRef

Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre],
A Multiple Hypothesis Tracking Method with Fragmentation Handling,
CRV09(8-15).
IEEE DOI Link 0905
BibRef

Torabi, A.[Atousa], Massé, G.[Guillaume], Bilodeau, G.A.[Guillaume-Alexandre],
An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications,
CVIU(116), No. 2, February 2012, pp. 210-221.
Elsevier DOI Link
WWW Version. 1201
BibRef
Earlier:
Feedback scheme for thermal-visible video registration, sensor fusion, and people tracking,
OTCBVS10(15-22).
IEEE DOI Link 1006
Thermal camera; Visible camera; Thermal-visible image registration; Sensor fusion; Multiple people tracking BibRef

Ulusoy, I., Yuruk, H.,
New method for the fusion of complementary information from infrared and visual images for object detection,
IET-IPR(5), No. 1, February 2011, pp. 36-48.
WWW Version. 1103
BibRef

Li, X., Qin, S.Y.,
Efficient fusion for infrared and visible images based on compressive sensing principle,
IET-IPR(5), No. 2, April 2011, pp. 141-147.
WWW Version. 1103
BibRef

Wang, X.[Xin], Li, G.[Gaolue],
Fusion Algorithm for Infrared-Visual Image Sequences,
ICIG11(244-248).
IEEE DOI Link 1109
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], St-Onge, P.L.[Pier-Luc], Garnier, R.[Romain],
Silhouette-based features for visible-infrared registration,
OTCBVS11(68-73).
IEEE DOI Link 1106
BibRef

Yang, G.[Guang], Yin, Y.F.[Ya-Feng], Man, H.[Hong],
Adaptive selection of visual and infra-red image fusion rules,
AIPR10(1-5).
IEEE DOI Link 1010
BibRef

Yoo, Y.J.[Young-Jin], Choe, W.H.[Won-Hee], Lee, S.D.[Seong-Deok],
Wide-band image guided visible-band image enhancement,
ICIP11(3405-3408).
IEEE DOI Link 1201
BibRef

Yoo, Y.J.[Young-Jin], Choe, W.H.[Won-Hee], Kwon, J.H.[Jae-Hyun], Park, S.C.[Sung-Chan], Lee, S.D.[Seong-Deok], Kim, C.Y.[Chang-Yong],
Low-light imaging method with visible-band and wide-band image pair,
ICIP09(2773-2776).
IEEE DOI Link 0911
400-700 nm with 400-1000nm. BibRef

Shao, M.[Ming], Wang, Y.H.[Yun-Hong], Wang, Y.D.[Yi-Ding],
A super-resolution based method to synthesize visual images from near infrared,
ICIP09(2453-2456).
IEEE DOI Link 0911
BibRef

Rasmussen, N.D.[Nathan D.], Morse, B.S.[Bryan S.], Goodrich, M.A.[Michael A.], Eggett, D.[Dennis],
Fused visible and infrared video for use in Wilderness Search and Rescue,
WACV09(1-8).
IEEE DOI Link 0912
BibRef

Qu, Y.H.[Yong-Hua], Zhang, Y.Z.[Yu-Zhen],
Fusing Near-Infrared Reflectance Spectrum and Dynamic Model to Estimate Vegetation Structural Parameters,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Zhou, X.[Xin], Liu, R.A.[Rui-An], Chen, J.[Jin],
Infrared and Visible Image Fusion Enhancement Technology Based on Multi-Scale Directional Analysis,
CISP09(1-3).
IEEE DOI Link 0910
BibRef

Wang, G.G.[Guo-Gang], Liu, Y.P.[Yun-Peng], Shi, Z.L.[Ze-Lin],
A Fast Hausdorff Matching Algorithm between Infrared and Optical Image Using PBIL Strategies,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Looney, D., Mandic, D.P.,
Fusion of visual and thermal images using complex extension of EMD,
ICDSC08(1-8).
IEEE DOI Link 0809
BibRef

Zhuo, S.[Shaojie], Zhang, X.P.[Xiao-Peng], Miao, X.P.[Xiao-Ping], Sim, T.[Terence],
Enhancing low light images using near infrared flash images,
ICIP10(2537-2540).
IEEE DOI Link 1009
BibRef

Zhang, X.P.[Xiao-Peng], Sim, T.[Terence], Miao, X.P.[Xiao-Ping],
Enhancing photographs with Near Infra-Red images,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

St-Onge, P.L.[Pier-Luc], Bilodeau, G.A.[Guillaume-Alexandre],
Visible and Infrared Sensors Fusion by Matching Feature Points of Foreground Blobs,
ISVC07(II: 1-10).
Springer DOI Link 0711
BibRef

Maclair, G., de Senneville, B.D.[B. Denis], Ries, M., Quesson, B., Desbarats, P., Benois-Pineau, J., Moonen, C.,
PCA-Based Image Registration: Application to On-Line MR Temperature Monitoring of Moving Tissues,
ICIP07(III: 141-144).
IEEE DOI Link 0709
BibRef

Town, C.[Christopher], Zhu, Z.G.[Zhi-Gang],
Sensor Fusion and Environmental Modelling for Multimodal Sentient Computing,
MSCSAS07(1-2).
IEEE DOI Link 0706
BibRef

Hrkac, T.[Tomislav], Kalafatic, Z.[Zoran], Krapac, J.[Josip],
Infrared-Visual Image Registration Based on Corners and Hausdorff Distance,
SCIA07(383-392).
Springer DOI Link 0706
BibRef

Kumar, P.[Praveen], Mittal, A.[Ankush], Kumar, P.[Padam],
Fusion of Thermal Infrared and Visible Spectrum Video for Robust Surveillance,
ICCVGIP06(528-539).
Springer DOI Link 0612
BibRef

Charoentam, O., Patanavijit, V., Jitapunkul, S.,
A Robust Region-Based Multiscale Image Fusion Scheme for Mis-Registration Problem of Thermal and Visible Images,
ICPR06(III: 669-672).
IEEE DOI Link 0609
BibRef

Wang, J.G.[Jian-Gang], Sung, E., Venkateswarlu, R.[Ronda],
Registration of infra-red and visible-spectrum imagery for face recognition,
AFGR04(638-643).
IEEE Abstract. 0411
BibRef

Wang, J.G.[Jian-Gang], Venkateswarlu, R.[Ronda],
Pose for Fusing Infrared and Visible-Spectrum Imagery,
AVBPA03(955-963).
HTML Version. 0310
BibRef

Ruiz-del-Solar, J., Soria-Frisch, A.,
Bio-inspired Framework for the Fusion of Chromatic, Infrared and Textural Information,
ICPR00(Vol III: 572-575).
IEEE DOI Link 0009
BibRef

Varshney, P.K.[Pramod K.], Chen, H.M.[Hua-Mei], Ramac, L.C.[Liane C.], Uner, M., Ferris, D., Alford, M.,
Registration and fusion of infrared and millimeter wave images for concealed weapon detection,
ICIP99(III:532-536).
IEEE Abstract. BibRef 9900

Bouzidi, S.[Sonia], Berroir, J.P.[Jean-Paul], and Herdin, I.[Isabelle],
Simultaneous Use of SPOT and NOAA-AVHRR Data for Vegetation Monitoring,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Therrien, C.W.[Charles W.], Scrofani, J., and Krebs, W.,
An Adaptive Technique for the Enhanced Fusion of Low-Light Visible with Uncooled Thermal Infrared Imagery,
ICIP97(I: 405-408).
IEEE DOI Link BibRef 9700

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion, Radar Data, SAR Data .