12.1.4.3 Information Fusion, Sensor Fusion

Desachy, J., Roux, L., Zahzah, E.H.,
Numeric and Symbolic Data Fusion: A Soft Computing Approach to Remote Sensing Images Analysis,
PRL(17), No. 13, November 25 1996, pp. 1361-1378. 9701
Remote Sensing. BibRef

Desachy, J., Zahzah, E.H.,
Symbolic and iconic information combination for satellite imagery interpretation,
CAIP93(335-342).
Springer DOI 9309
BibRef

Bosse, E., Roy, J.,
Fusion of Identity Declarations from Dissimilar Sources Using the Dempster-Shafer Theory,
OptEng(36), No. 3, March 1997, pp. 648-657. 9704
BibRef

Cantoni, V.[Virginio], Setti, A.[Alessandra], di Gesu, V.[Vito], Tegolo, D.[Domenico],
Human and Machine Perception: Information Fusion,
Plenum1997. ISBN 0-306-45708-0. 350 pp. Proceeding of a conference. BibRef 9700

Rao, N.S.V.,
Nadaraya-Watson Estimator for Sensor Fusion,
OptEng(36), No. 3, March 1997, pp. 642-647. 9704
BibRef

Murphy, R.R.,
Dempster-Shafer Theory For Sensor Fusion In Autonomous Mobile Robots,
RA(14), No. 2, April 1998, pp. 197-206. 9804
BibRef

Solaiman, B., Koffi, R.K., Mouchot, M.C., Hillion, A.,
An Information Fusion Method for Multispectral Image Classification Postprocessing,
GeoRS(36), No. 2, March 1998, pp. 395-406.
IEEE Top Reference. 9804
BibRef

Sester, M.[Monika], Anders, K.H.[Karl-Heinrich], Walter, V.[Volker],
Linking Objects of Different Spatial Data Sets by Integration and Aggregation,
GeoInfo(2), No. 4, December 1998, pp. 335-358.
DOI Link BibRef 9812

Lewis, T.[Tristan], Owens, R.A.[Robyn A.], Baddeley, A.J.[Adrian J.],
Averaging feature maps,
PR(32), No. 9, September 1999, pp. 1615-1630.
Elsevier DOI Radar maps of flight paths, sketches of faces. BibRef 9909

Baddeley, A.J., Molchanov, I.,
Averaging of Random Sets Based on Their Distance Functions,
JMIV(8), No. 1, January 1998, pp. 79-92.
DOI Link 9803
BibRef

McNary, C.[Charles], Reiser, K.[Kurt], Doria, D.M.[David M.], Webster, D.W.[David W.], Chen, Y.[Yang],
Hierarchical information fusion object recognition system and method,
US_Patent5,963,653, Oct 5, 1999
WWW Link. BibRef 9910

Ricchetti, E.[Evaristo],
Multispectral Satellite Image and Ancillary Data Integration for Geological Classification,
PhEngRS(66), No. 4, April 2000, pp. 429. Comparisons of different procedures for geological classification of multispectral imagery demonstrate the improvement in accuracy of results achieved using terrain information from a digital terrain model (DTM). 0004
BibRef

Bendjebbour, A., Delignon, Y., Fouque, L., Samson, V., Pieczynski, W.,
Multisensor image segmentation using Dempster-Shafer fusion in Markov fields context,
GeoRS(39), No. 8, August 2001, pp. 1789-1798.
IEEE Top Reference. 0109
BibRef

Benboudjema, D.[Dalila], Pieczynski, W.[Wojciech],
Unsupervised image segmentation using triplet Markov fields,
CVIU(99), No. 3, September 2005, pp. 476-498.
Elsevier DOI 0508
HMF models. Pairwise HMF. BibRef

Benboudjema, D.[Dalila], Pieczynski, W.[Wojciech],
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields,
PAMI(29), No. 8, August 2007, pp. 1367-1378.
IEEE DOI 0707
BibRef

Allagnat, O., Boucher, J.M., He, D.C., Pieczynski, W.[Wojciech],
Hidden Markov fields and unsupervised segmentation of images,
ICPR92(III:96-100).
IEEE DOI 9208
BibRef

Rao, N.S.V.[Nageswara S.V.],
On Fusers that Perform Better than Best Sensor,
PAMI(23), No. 8, August 2001, pp. 904-909.
IEEE DOI 0109
Analyze fusion techniques. Several senesors meet the criteria -- linear combinations, special potential functions, some feedforward networks. BibRef

Kiema, J.B.K.,
Texture analysis and data fusion in the extraction of topographic objects from satellite imagery,
JRS(23), No. 4, February 2002, pp. 767-776. 0202
BibRef

Alkoot, F.M., Kittler, J.V.,
Modified product fusion,
PRL(23), No. 8, June 2002, pp. 957-965.
Elsevier DOI 0204
BibRef

Dempere-Marco, L.[Laura], Hu, X.P.[Xiao-Peng], MacDonald, S.L.S., Ellis, S.M., Hansell, D.M., Yang, G.Z.[Guang-Zhong],
The use of visual search for knowledge gathering in image decision support,
MedImg(21), No. 7, July 2002, pp. 741-754.
IEEE Top Reference. 0210
BibRef

Dempere-Marco, L., Hu, X.P., Ellis, S.M., Hansell, D.M., Yang, G.Z.,
Analysis of Visual Search Patterns With EMD Metric in Normalized Anatomical Space,
MedImg(25), No. 8, August 2006, pp. 1011-1021.
IEEE DOI 0608
BibRef

Hu, X.P.[Xiao-Peng], Dempere-Marco, L., Yang, G.Z.[Guang-Zhong],
Hot spot detection based on feature space representation of visual search,
MedImg(22), No. 9, September 2003, pp. 1152-1162.
IEEE Abstract. 0309
BibRef

Xu, L.J.[Li-Juan], Dempere-Marco, L.[Laura], Wang, F.[Fan], Ji, Z.H.[Zhi-Hang], Hu, X.P.[Xiao-Peng],
Towards path-based semantic dissimilarity estimation for scene representation using bottleneck analysis,
IET-CV(13), No. 8, December 2019, pp. 691-699.
DOI Link 1912
BibRef

Hu, X.P.[Xiao-Peng], Dempere-Marco, L.[Laura], Davies, E.R.[E. Roy],
Bayesian feature evaluation for visual saliency estimation,
PR(41), No. 11, November 2008, pp. 3302-3312.
Elsevier DOI 0808
Object recognition; Bayesian modeling; Visual attention; Visual search; Visual cue selection BibRef

Yang, G.Z.[Guang-Zhong], Dempere-Marco, L.[Laura], Hu, X.P.[Xiao-Peng], Rowe, A.[Anthony],
Visual search: psychophysical models and practical applications,
IVC(20), No. 4, April 2002, pp. 291-305.
Elsevier DOI 0203
Model Human eye movements. Eye tracking. BibRef

Yang, J.[Jian], Yang, J.Y.[Jing-Yu], Zhang, D.[David], Lu, J.F.[Jian-Feng],
Feature fusion: parallel strategy vs. serial strategy,
PR(36), No. 6, June 2003, pp. 1369-1381.
Elsevier DOI 0304
Parallel fusion. Handwritten numerals. BibRef

Pontius, Jr., R.G.[R. Gil],
Statistical Methods to Partition Effects of Quantity and Location During Comparison of Categorical Maps at Multiple Resolutions,
PhEngRS(68), No. 10, October 2002, pp. 10411050. Separate five components of agreement between two maps.
WWW Link. 0304
BibRef

Zhu, Y.M.[Yun-Min], Li, X.R.[X. Rong],
Unified fusion rules for multisensor multihypothesis network decision systems,
SMC-A(33), No. 4, July 2003, pp. 502-513.
IEEE Abstract. 0310
BibRef

Petrovic, V.S.[Vladimir S.], Xydeas, C.S.[Costas S.],
Gradient-based multiresolution image fusion,
IP(13), No. 2, February 2004, pp. 228-237.
IEEE DOI 0404
BibRef

Xydeas, C.S.[Costas S.], Petrovic, V.S.[Vladimir S.],
Objective image fusion performance measure,
EL(36), No. 4, 2000, pp. 308-309. BibRef 0001

Petrovic, V.S.[Vladimir S.], Xydeas, C.S.[Costas S.],
Objective Image Fusion Performance Characterisation,
ICCV05(II: 1866-1871).
IEEE DOI 0510
BibRef
Earlier:
Evaluation of Image Fusion Performance with Visible Differences,
ECCV04(Vol III: 380-391).
Springer DOI 0405
BibRef

Stepan, P., Kulich, M., Preucil, L.,
Robust data fusion with occupancy grid,
SMC-C(35), No. 1, February 2005, pp. 106-115.
IEEE Abstract. 0501
BibRef

John, S., Vorontsov, M.A.,
Multiframe Selective Information Fusion From Robust Error Estimation Theory,
IP(14), No. 5, May 2005, pp. 577-584.
IEEE DOI 0505
BibRef

Sun, S., Zhang, C.,
Optimal information fusion distributed smoother for discrete multichannel ARMA signals,
VISP(152), No. 5, October 2005, pp. 583-589.
DOI Link 0512
BibRef

Li, M.[Min], Cai, W.[Wei], Tan, Z.[Zheng],
A region-based multi-sensor image fusion scheme using pulse-coupled neural network,
PRL(27), No. 16, December 2006, pp. 1948-1956.
Elsevier DOI 0611
Image fusion; Pulse-coupled neural network; Image segmentation BibRef

Parikh, D.[Devi], Polikar, R.[Robi],
An Ensemble-Based Incremental Learning Approach to Data Fusion,
SMC-B(37), No. 2, April 2007, pp. 437-450.
IEEE DOI 0704
BibRef

Zheng, S., Shi, W.Z., Liu, J., Zhu, G.X., Tian, J.W.,
Multisource Image Fusion Method Using Support Value Transform,
IP(16), No. 7, July 2007, pp. 1831-1839.
IEEE DOI 0707
BibRef

Zheng, S., Shi, W.Z., Liu, J., Tian, J.,
Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM,
GeoRS(46), No. 5, May 2008, pp. 1313-1322.
IEEE DOI 0804
BibRef

Zhou, X.[Xiran], Liu, J.[Jun], Liu, S.G.[Shu-Guang], Cao, L.[Lei], Zhou, Q.M.[Qi-Ming], Huang, H.W.[Hua-Wen],
A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation,
PandRS(88), No. 1, 2014, pp. 16-27.
Elsevier DOI 1402
Image fusion BibRef

Zhang, Y.J.[Ying-Jie],
Adaptive region-based image fusion using energy evaluation model for fusion decision,
SIViP(1), No. 3, August 2007, pp. 215-223.
Springer DOI 0803
BibRef

Bleiholder, J.[Jens], Naumann, F.[Felix],
Data fusion,
Surveys(41), No. 1, December 2008, pp. 1-41.
WWW Link. 0804
Survey, Sensor Fusion. BibRef

Turlapaty, A.C.[Anish C.], Anantharaj, V.G.[Valentine G.], Younan, N.H.[Nicolas H.], Turk, F.J.[F. Joseph],
Precipitation data fusion using vector space transformation and artificial neural networks,
PRL(31), No. 10, 15 July 2010, pp. 1184-1200.
Elsevier DOI 1008
Pattern recognition; Optimization; Data merging; Convergence; Artificial neural networks BibRef

Davenport, M.A., Hegde, C., Duarte, M.F.[Marco F.], Baraniuk, R.G.[Richard G.],
Joint Manifolds for Data Fusion,
IP(19), No. 10, October 2010, pp. 2580-2594.
IEEE DOI 1003
BibRef

Tseng, C.H.[Chien-Hao], Jwo, D.J.[Dah-Jing],
Designing Fuzzy Adaptive Nonlinear Filter for Land Vehicle Ultra-Tightly Coupled Integrated Navigation Sensor Fusion,
Sensors(128), Issue 5, May 2011, pp. 1-16.
HTML Version. 1106
BibRef

Scheirer, W.J.[Walter J.], Rocha, A.[Anderson], Micheals, R.[Ross], Boult, T.E.[Terrance E.],
Meta-Recognition: The Theory and Practice of Recognition Score Analysis,
PAMI(33), No. 8, August 2011, pp. 1689-1695.
IEEE DOI 1107
BibRef
Earlier:
Robust Fusion: Extreme Value Theory for Recognition Score Normalization,
ECCV10(III: 481-495).
Springer DOI 1009
Perfromance prediction for recognition algorithms. Predict system performance for threshold selection, etc. BibRef

Zhang, Q.A.[Qi-Ang], Wang, L.[Long], Li, H.J.[Hui-Juan], Ma, Z.K.[Zhao-Kun],
Similarity-based multimodality image fusion with shiftable complex directional pyramid,
PRL(32), No. 13, 1 October 2011, pp. 1544-1553.
Elsevier DOI 1109
Multimodality image fusion; Shiftable complex directional pyramid transform; Structural similarity index BibRef

Yeh, Y.R., Lin, T.C., Chung, Y.Y., Wang, Y.C.F.,
A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection,
MultMed(14), No. 3, 2012, pp. 563-574.
IEEE DOI 1202
BibRef

Hwang, K.S., Chen, Y.J., Wu, C.J.,
Fusion of Multiple Behaviors Using Layered Reinforcement Learning,
SMC-A(42), No. 4, July 2012, pp. 999-1004.
IEEE DOI 1206
BibRef

Jang, J.H.[Jae Ho], Bae, Y.S.[Yoon-Sung], Ra, J.B.[Jong Beom],
Contrast-Enhanced Fusion of Multisensor Images Using Subband-Decomposed Multiscale Retinex,
IP(21), No. 8, August 2012, pp. 3479-3490.
IEEE DOI 1208
BibRef
Earlier:
Multi-Sensor Image Fusion Using Subband Decomposed Multiscale Retinex,
ICIP09(2177-2180).
IEEE DOI 0911

See also Sub-Band Decomposed Multiscale Retinex with Space Varying Gain. BibRef

Jang, J.H., Kim, Y.S., Ra, J.B.,
Image enhancement in multi-resolution multi-sensor fusion,
AVSBS07(289-294).
IEEE DOI 0709
BibRef

Wang, X., Kankanhalli, M.S.,
Multimedia Fusion With Mean-Covariance Analysis,
MultMed(15), No. 1, January 2013, pp. 120-128.
IEEE DOI 1212
BibRef

Ozkan, D., Morency, L.P.,
Latent Mixture of Discriminative Experts,
MultMed(15), No. 2, 2013, pp. 326-338.
IEEE DOI 1302
lexical, syntactic structure, part-of-speech, visual and prosody Each modality done separately BibRef

Ma, A.J.H.[Andy Jin-Hua], Yuen, P.C.[Pong C.], Lai, J.H.[Jian-Huang],
Linear Dependency Modeling for Classifier Fusion and Feature Combination,
PAMI(35), No. 5, May 2013, pp. 1135-1148.
IEEE DOI 1304
BibRef

Ma, A.J.H.[Andy J.H.], Yuen, P.C.[Pong C.],
Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition,
IJCV(109), No. 3, September 2014, pp. 233-251.
WWW Link. 1408
BibRef
Earlier:
Reduced Analytical Dependency Modeling for Classifier Fusion,
ECCV12(III: 792-805).
Springer DOI 1210
BibRef
Earlier:
Linear dependency modeling for feature fusion,
ICCV11(2041-2048).
IEEE DOI 1201
BibRef

Hassen, R.[Rania], Wang, Z.[Zhou], Salama, M.M.A.[Magdy M.A.],
Image Sharpness Assessment Based on Local Phase Coherence,
IP(22), No. 7, 2013, pp. 2798-2810.
IEEE DOI 1307
BibRef
Earlier:
Multi-sensor image registration based-on local phase coherence,
ICIP09(181-184).
IEEE DOI 0911
blur detection; Fourier transforms; Wavelet transforms BibRef

Hassen, R.[Rania], Wang, Z.[Zhou], Salama, M.M.A.[Magdy M.A.],
Objective Quality Assessment for Multiexposure Multifocus Image Fusion,
IP(24), No. 9, September 2015, pp. 2712-2724.
IEEE DOI 1506
BibRef
Earlier:
A Flexible Framework for Local Phase Coherence Computation,
ICIAR11(I: 40-49).
Springer DOI 1106
BibRef
Earlier:
Multifocus Image Fusion Using Local Phase Coherence Measurement,
ICIAR09(54-63).
Springer DOI 0907
image fusion BibRef

Ma, K.[Kede], Zeng, K.[Kai], Wang, Z.[Zhou],
Perceptual Quality Assessment for Multi-Exposure Image Fusion,
IP(24), No. 11, November 2015, pp. 3345-3356.
IEEE DOI 1509
image enhancement BibRef

Fang, Y.M.[Yu-Ming], Zhu, H.W.[Han-Wei], Ma, K.[Kede], Wang, Z.[Zhou], Li, S.T.[Shu-Tao],
Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes,
IP(29), 2020, pp. 1127-1138.
IEEE DOI 1911
Heuristic algorithms, Dynamics, Databases, Image reconstruction, Quality assessment, Image fusion, Dynamic range, structural similarity BibRef

Wang, X.[Xu], Sun, Z.H.[Zhen-Hao], Zhang, Q.D.[Qiu-Dan], Fang, Y.M.[Yu-Ming], Ma, L.[Lin], Wang, S.Q.[Shi-Qi], Kwong, S.[Sam],
Multi-Exposure Decomposition-Fusion Model for High Dynamic Range Image Saliency Detection,
CirSysVideo(30), No. 12, December 2020, pp. 4409-4420.
IEEE DOI 2012
Adaptation models, Saliency detection, Brightness, Predictive models, Feature extraction, deep learning BibRef

Xing, J.[Jun], Zhang, Q.[Qiudan], Shen, X.[Xuelin], Wang, X.[Xu],
Multi-exposure embeddings for graph learning: Towards high dynamic range image saliency prediction,
IET-IPR(18), No. 6, 2024, pp. 1411-1421.
DOI Link 2405
multimedia databases, visual perception BibRef

Yeganeh, H., Rostami, M., Wang, Z.,
Objective Quality Assessment of Interpolated Natural Images,
IP(24), No. 11, November 2015, pp. 4651-4663.
IEEE DOI 1509
Distortion BibRef

Liu, X.[Xing], Jiang, S.S.[Shou-Shan],
Study on the Applications of Cross-Layer Information Fusion in Target Recognition,
Sensors(153), No. 5, May 2013, pp. 129-136.
HTML Version. 1307
BibRef

Maravall, D.[Darío], de Lope, J.[Javier], Fuentes, J.P.[Juan Pablo],
Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images,
PRL(34), No. 14, 2013, pp. 1719-1724.
Elsevier DOI 1308
Learning automata theory BibRef

Kakarala, R.[Ramakrishna], Hebbalaguppe, R.[Ramya],
A method for fusing a pair of images in the JPEG domain,
RealTimeIP(9), No. 2, June 2014, pp. 347-357.
WWW Link. 1407
BibRef

Sharma, K.K., Sharma, M.[Mohit],
Image fusion based on image decomposition using self-fractional Fourier functions,
SIViP(8), No. 7, October 2014, pp. 1335-1344.
WWW Link. 1410
BibRef

Song, H.Y.[Hai-Yu], Zhang, W.A.[Wen-An], Yu, L.[Li],
Hierarchical Fusion in Clustered Sensor Networks with Asynchronous Local Estimates,
SPLetters(21), No. 12, December 2014, pp. 1506-1510.
IEEE DOI 1410
covariance analysis BibRef

Tsai, P.H.[Pei-Hsuan], Lin, Y.J.[Ying-Jun], Ou, Y.Z.[Yi-Zong], Chu, E.T.H., Liu, J.W.S.,
A Framework for Fusion of Human Sensor and Physical Sensor Data,
SMCS(44), No. 9, September 2014, pp. 1248-1261.
IEEE DOI 1410
alarm systems BibRef

Qin, J.Z.[Jian-Zhao], Yung, N.H.C.[Nelson H.C.],
Feature fusion within local region using localized maximum-margin learning for scene categorization,
PR(45), No. 4, 2012, pp. 1671-1683.
Elsevier DOI 1410
Scene categorization BibRef

Zitnik, M., Zupan, B.,
Data Fusion by Matrix Factorization,
PAMI(37), No. 1, January 2015, pp. 41-53.
IEEE DOI 1412
Approximation methods BibRef

Soganli, A., Ercetin, O., Cetin, M.,
On the Quality and Timeliness of Fusion in a Random Access Sensor Network,
SPLetters(22), No. 9, September 2015, pp. 1259-1263.
IEEE DOI 1503
Markov processes BibRef

Bahrampour, S.[Soheil], Nasrabadi, N.M.[Nasser M.], Ray, A.[Asok], Jenkins, K.W.[Kenneth W.],
Multimodal Task-Driven Dictionary Learning for Image Classification,
IP(25), No. 1, January 2016, pp. 24-38.
IEEE DOI 1601
BibRef
Earlier: A1, A3, A2, A4:
Quality-Based Multimodal Classification Using Tree-Structured Sparsity,
CVPR14(4114-4121)
IEEE DOI 1409
face recognition Information fusion. BibRef

Fan, C.T., Wang, Y.K., Huang, C.R.,
Heterogeneous Information Fusion and Visualization for a Large-Scale Intelligent Video Surveillance System,
SMCS(47), No. 4, April 2017, pp. 593-604.
IEEE DOI 1704
Artificial intelligence BibRef

Chen, H., Zhang, X., Wang, Q., Bai, Y.,
Efficient Data Fusion Using Random Matrix Theory,
SPLetters(25), No. 5, May 2018, pp. 605-609.
IEEE DOI 1805
Gaussian noise, Gaussian processes, least mean squares methods, matrix algebra, maximum likelihood estimation, random matrix theory (RMT) BibRef

Li, W., Yang, F., Wei, G.,
A Novel Observability Gramian-Based Fast Covariance Intersection Rule,
SPLetters(25), No. 10, October 2018, pp. 1570-1574.
IEEE DOI 1810
covariance matrices, filtering theory, Kalman filters, observability, optimisation, sensor fusion, unknown correlations, unknown correlations BibRef

Zhang, S.H.[Shi-Hui], Li, H.[He], Kong, W.H.[Wei-Hang], Wang, L.[Lei], Niu, X.F.[Xiao-Fang],
An object counting network based on hierarchical context and feature fusion,
JVCIR(62), 2019, pp. 166-173.
Elsevier DOI 1908
Object counting, Density estimation, Feature fusion, Hierarchical context BibRef

Wang, M., Shang, X.,
A Fast Image Fusion With Discrete Cosine Transform,
SPLetters(27), 2020, pp. 990-994.
IEEE DOI 2007
Image fusion, Discrete cosine transforms, Measurement, Databases, Biomedical imaging, Image reconstruction, two-scale decomposition BibRef

Wang, S.[Song], Guo, X.[Xin], Tie, Y.[Yun], Lee, I.[Ivan], Qi, L.[Lin], Guan, L.[Ling],
Weighted hybrid fusion with rank consistency,
PRL(138), 2020, pp. 329-335.
Elsevier DOI 2010
Semi-supervised learning, Multi-view learning, Information fusion, Hybrid fusion, Rank consistency BibRef

Wang, Y.H.[Yu-Hui], Gelli, F.[Francesco], von derWeth, C.[Christian], Kankanhalli, M.[Mohan],
A Matrix Factorization Based Framework for Fusion of Physical and Social Sensors,
MultMed(23), 2021, pp. 2782-2793.
IEEE DOI 2109
Sensor fusion, Task analysis, Cameras, Semantics, Event detection, Image sensors, Physical social fusion, spatial temporal filtering BibRef

Zhu, F.[Feng], Xu, J.Y.[Jun-Yu], Yao, C.M.[Chuan-Ming],
Local information fusion network for 3D shape classification and retrieval,
IVC(121), 2022, pp. 104405.
Elsevier DOI 2205
3D shape recognition, Attention mechanism, Local information BibRef

Xiao, F.Y.[Fu-Yuan], Pedrycz, W.[Witold],
Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification,
PAMI(45), No. 2, February 2023, pp. 2054-2070.
IEEE DOI 2301
Entropy, Quantum mechanics, Hilbert space, Decision making, Measurement uncertainty, Evidence theory, Cognition, pattern classification BibRef

Shuai, S.[Shuang], Zhang, Z.[Zhi], Zhang, T.[Tian], Luo, W.[Wei], Tan, L.[Li], Duan, X.[Xiang], Wu, J.[Jie],
Innovative Decision Fusion for Accurate Crop/Vegetation Classification with Multiple Classifiers and Multisource Remote Sensing Data,
RS(16), No. 9, 2024, pp. 1579.
DOI Link 2405
BibRef

Lv, G.H.[Guo-Hua], Wang, X.[Xiyan], Gao, Y.[Yongbiao], Zhai, Y.[Yi], Zhao, G.X.[Gui-Xin], Ma, G.X.[Guang-Xiao],
Rafmnet: Reinforced Attention Fusion and Multiscale Network for Noisy Infrared and Visible Image Fusion,
ICIP24(2655-2661)
IEEE DOI 2411
Couplings, Fuses, Noise reduction, Noise, Feature extraction, Noise measurement, Task analysis, Infrared Image, Visible Image, Attention Fusion BibRef

Chen, J.[Jun], Yu, W.[Wei], Tian, X.[Xin], Huang, J.[Jun], Ma, J.Y.[Jia-Yi],
Mdbfusion: A Visible and Infrared Image Fusion Framework Capable for Motion Deblurring,
ICIP24(1019-1025)
IEEE DOI 2411
Measurement, Couplings, Adaptive systems, Image edge detection, Cameras, Complexity theory, Decoding, Image fusion, infrared images BibRef

John, V.[Vijay], Kawanishi, Y.[Yasutomo],
Combining Knowledge Distillation and Transfer Learning for Sensor Fusion in Visible and Thermal Camera-based Person Classification,
MVA23(1-5)
DOI Link 2403
Machine vision, Transfer learning, Thermal sensors, Sensor fusion, Transformers, Public speaking, Robustness BibRef

Chen, Z.M.[Zi-Ming], Shi, Y.F.[Yi-Feng], Jia, J.[Jinrang],
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers,
ICCV23(18159-18168)
IEEE DOI 2401
BibRef

Li, L.[Lei], Wu, S.[Suping],
DmifNet: 3D Shape Reconstruction based on Dynamic Multi-Branch Information Fusion,
ICPR21(7219-7225)
IEEE DOI 2105
Geometry, Shape, Network topology, Image edge detection, Dogs, Feature extraction, 3D reconstruction, dynamic information fusion BibRef

Zhang, Y.Y.[Yu-Yang], Wang, J.[Jinge], Xu, S.B.[Shi-Biao], Liu, X.[Xiao], Zhang, X.P.[Xiao-Peng],
Mlifeat: Multi-level Information Fusion Based Deep Local Features,
ACCV20(III:403-419).
Springer DOI 2103
BibRef

Chi, L.[Lu], Tian, G.Y.[Gui-Yu], Mu, Y.D.[Ya-Dong], Tian, Q.[Qi],
Two-Stream Video Classification with Cross-Modality Attention,
CroMoL19(4511-4520)
IEEE DOI 2004
Do more than fuse the individual results. image classification, image fusion, sensor fusion, video signal processing, information cross modality, attention model BibRef

Fan, B., Chen, Y., Qu, J., Chai, Y., Xiao, C., Huang, P.,
FFBNet: Lightweight Backbone for Object Detection Based Feature Fusion Block,
ICIP19(3920-3924)
IEEE DOI 1910
Lightweight Backbone, Light yet Powerful Detector, Feature Fusion Block BibRef

Qiu, Y.[Yu], Liu, Y.[Yun], Ma, X.X.[Xiao-Xu], Liu, L.[Lei], Gao, H.C.[Hong-Can], Xu, J.[Jing],
Revisiting Multi-Level Feature Fusion: A Simple Yet Effective Network for Salient Object Detection,
ICIP19(4010-4014)
IEEE DOI 1910
Salient object detection, saliency detection, simple yet effective network, multi-level feature fusion BibRef

Alaoui, M.E., Ben-Azza, H.,
Generalization of the weighted product aggregation applied to data fusion of intuitionistic fuzzy quantities,
ISCV17(1-6)
IEEE DOI 1710
Boundary conditions, Data integration, Data mining, Fuzzy sets, Ontologies, Production engineering, Aggregation, interval-valued fuzzy sets, intuitionistic fuzzy numbers, similarity BibRef

Xu, Z.J.[Zhen-Jie], Li, J.C.[Jia-Cheng], Chen, Y.F.[Yun-Fang],
Survey of track association of radar and AIS,
ICIVC17(960-964)
IEEE DOI 1708
AID: Automatic identification system. Artificial intelligence, Artificial neural networks, Radar tracking, AIS, data fusion, radar track association. BibRef

Cavallari, T.[Tommaso], di Stefano, L.[Luigi],
On-Line Large Scale Semantic Fusion,
DeepLearn16(III: 83-99).
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WACV16(1-9)
IEEE DOI 1606
Bayes methods BibRef

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ICIP15(1-5)
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FIR; Image enhancement; Image fusion; NIR; RGBD BibRef

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ICIAR15(100-106).
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Lebedev, M.A., Stepaniants, D.G., Komarov, D.V., Vygolov, O.V., Vizilter, Y.V., Zheltov, S.Y.,
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Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Wang, D.D.[Da-Dong], Guo, Y.[Yi], Pham, T.D.[Tuan D.],
Soft Cost Aggregation with Multi-resolution Fusion,
ECCV14(V: 17-32).
Springer DOI 1408
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Levine, S.[Stacey], Heaps, K.[Katie], Koslosky, J.[Joshua], Sidle, G.[Glenn],
Image Fusion using Gaussian Mixture Models,
BMVC13(xx-yy).
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Koch, M.W.[Mark W.],
One-Class Multiple-Look Fusion: A Theoretical Comparison of Different Approaches with Examples from Infrared Video,
PBVS13(342-347)
IEEE DOI 1309
Infrared video; Multilook fusion; One class classifier Classification not just from single image, but video. Almost super-resolution, but more like data fusion. BibRef

Chen, B.[Bo], Yu, L.[Li], Zhang, W.A.[Wen-An], Song, H.[Haiyu],
Networked multi-sensor fusion estimation with delays, packet losses and missing measurements,
ICARCV12(695-700).
IEEE DOI 1304
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Kamal, A.T.[Ahmed T.], Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
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ICIP12(1109-1112).
IEEE DOI 1302
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Ye, Y., Xiong, L., Shan, J.,
Automated Multi-source Remote Sensing Image Registration Based On Phase Congruency,
ISPRS12(XXXIX-B6:189-194).
DOI Link 1209
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Elhassouny, A.[Azeddine], Idbraim, S.[Soufiane], Bekkarri, A.[Aissam], Mammass, D.[Driss], Ducrot, D.[Danielle],
Multisource Fusion/Classification Using ICM and DSmT with New Decision Rule,
ICISP12(56-64).
Springer DOI 1208
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Yushkevich, P.A.[Paul A.], Wang, H.Z.[Hong-Zhi], Pluta, J.B.[John B.], Avants, B.B.[Brian B.],
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration,
CVPR12(956-963).
IEEE DOI 1208
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Haji-Abolhassani, A.[Amin], Clark, J.J.[James J.],
Information Fusion in Visual-Task Inference,
CRV12(48-55).
IEEE DOI 1207
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Chang, K.Y.[Kai-Yueh], Liu, T.L.[Tyng-Luh], Chen, H.T.[Hwann-Tzong], Lai, S.H.[Shang-Hong],
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Cai, C.F.[Cai-Fang], Mohammad-Djafari, A.[All], Legoupil, S.[Samuel], Rodet, T.[Thomas],
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ICIP11(1377-1380).
IEEE DOI 1201
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Yuan, J.[Jing], Shi, J.[Juan], Tai, X.C.[Xue-Cheng], Boykov, Y.Y.[Yuri Y.],
A Study on Convex Optimization Approaches to Image Fusion,
SSVM11(122-133).
Springer DOI 1201
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Patil, U.[Ujwala], Mudengudi, U.[Uma],
Image fusion using hierarchical PCA.,
ICIIP11(1-6).
IEEE DOI 1112
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Hol, J.D., Schon, T.B., Gustafsson, F.,
A new algorithm for calibrating a combined camera and IMU sensor unit,
ICARCV08(1857-1862).
IEEE DOI 1109
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Hanmandlu, M.[Madasu], Grover, J.[Jyotsana], Madasu, V.[Vamsi],
Decision Level Fusion Using t-Norms,
DICTA10(33-38).
IEEE DOI 1012
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Han, S.H.[Seung-Han], Koo, B.J.[Bon-Jung], Hutter, A., Shet, V., Stechele, W.,
Subjective Logic Based Hybrid Approach to Conditional Evidence Fusion for Forensic Visual Surveillance,
AVSS10(337-344).
IEEE DOI 1009
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Hitzler, P.[Pascal],
Towards Reasoning Pragmatics,
GS09(9-25).
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Combining data. Semantic Web. BibRef

Ozay, M.[Mete], Vural, F.T.Y.[Fatos Tunay Yarman],
A new decision fusion technique for image classification,
ICIP09(2189-2192).
IEEE DOI 0911
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Dey, C., Jia, X.P.[Xiu-Ping], Fraser, D.,
Decision Fusion for Reliable Flood Mapping Using Remote Sensing Images,
DICTA08(184-190).
IEEE DOI 0812
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Tian, H.[Hui], Wang, B.B.[Bin-Bin],
Discussion and Analyze on Image Fusion Technology,
ICMV09(246-250).
IEEE DOI 0912
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Qin, T.L.[Tai-Long], Cheng, H.[Hang], Chen, F.F.[Fa-Fa],
Research on Multi-Sensor Information Fusion Technique for Motor Fault Diagnosis,
CISP09(1-4).
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Wu, J.H.[Jian-Hong], Zhang, H.C.[Hong-Cai],
Data Fusion Algorithm Design of GPS/IMU Based on Fuzzy Adaptive Federated Kalman Filter,
CISP09(1-4).
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Rizvi, S.A., Nasrabadi, N.M.,
Fusion techniques for automatic target recognition,
AIPR03(27-32).
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Fay, D.A., Ivey, R.T., Bomberger, N., Waxman, A.M.,
Multisensor and spectral image fusion and mining: From neural systems to applications,
AIPR03(11-20).
IEEE DOI 0310
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Blake, P.L., Brown, T.W.,
Quantitative fusion of performance results from actual and simulated image data,
AIPR03(99-102).
IEEE DOI 0310
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Hall, D.L.,
Perspectives on the fusion of image and non-image data,
AIPR03(217-220).
IEEE DOI 0310
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Fu, Y.[Yun], Cao, L.L.[Liang-Liang], Guo, G.D.[Guo-Dong], Huang, T.S.[Thomas S.],
Multiple feature fusion by subspace learning,
CIVR08(127-134). 0807
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Ma, C.Y.[Cheng-Yuan], Lee, C.H.[Chin-Hui],
An efficient gradient computation approach to discriminative fusion optimization in semantic concept detection,
ICPR08(1-4).
IEEE DOI 0812
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Minor, C.P.[Christian P.], Johnson, K.J.[Kevin J.], Rose-Pehrsson, S.L.[Susan L.], Owrutsky, J.C.[Jeffrey C.], Wales, S.C.[Stephen C.], Steinhurst, D.A.[Daniel A.], Gottuk, D.T.[Daniel T.],
Data fusion with a multisensor system for damage control and situational awareness,
AVSBS07(313-317).
IEEE DOI 0709
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Filipovych, R.[Roman], Ribeiro, E.[Eraldo],
Probabilistic Combination of Visual Cues for Object Classification,
ISVC07(I: 662-671).
Springer DOI 0711
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Joshi, D.[Dhiraj], Naphade, M.R.[Milind R.], Natsev, A.P.[Apostol P.],
A Greedy Performance Driven Algorithm for Decision Fusion Learning,
ICIP07(VI: 25-28).
IEEE DOI 0709
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Jiang, W.[Wei], Chang, S.F.[Shih-Fu], Loui, A.C.,
Active Context-Based Concept Fusion with Partial User Labels,
ICIP06(2917-2920).
IEEE DOI 0610
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Zhu, Q.Y.[Qiu-Yu], Huang, S.J.[Su-Juan],
Data Fusion and Confidence Measure in Image Feature Detection,
AVSBS06(75-75).
IEEE DOI 0611
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Jayaweera, S.K., Al-Tarazi, K.,
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks,
AVSBS06(72-72).
IEEE DOI 0611
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Wimalajeewa, T., Jayaweera, S.K.,
Optimal Power Scheduling for Data Fusion in Inhomogeneous Wireless Sensor Networks,
AVSBS06(73-73).
IEEE DOI 0611
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Arif, M., Brouard, T., Vincent, N.,
A fusion methodology based on Dempster-Shafer evidence theory for two biometric applications,
ICPR06(IV: 590-593).
IEEE DOI 0609
BibRef

Lin, D.[Dahua], Tang, X.[Xiaoou],
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion,
ECCV06(I: 68-82).
Springer DOI 0608
BibRef

Hoppe, F.[Florian], Sommer, G.[Gerald],
Fusion Algorithm for Locally Arranged Linear Models,
ICPR06(III: 1208-1211).
IEEE DOI 0609
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And: ICPR06(IV: 951).
IEEE DOI 0609
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Dong, W.[Wen], and Pentland, A.P.[Alex P.],
Multi-sensor Data Fusion Using the Influence Model,
Vismod-TR597, April 2006
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Mahmoud, S.,
A comparative study of statistical and neural methods for remote sensing image classification and decision fusion,
ICIP04(V: 3347-3350).
IEEE DOI 0505
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Wu, G.[Gang], Pan, C.H.[Chun-Hong], Prinet, V., Ma, S.D.[Song-De],
A land use classification method based on region and edge information fusion,
ICIP04(III: 1719-1722).
IEEE DOI 0505
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Wu, H.,
Sensor Fusion for Context-Aware Computing Using Dempster-Shafer Theory,
CMU-RI-TR-03-52, December, 2003. BibRef 0312 Ph.D.Thesis.
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Kahler, O., Denzler, J., Triesch, J.,
Hierarchical sensor data fusion by probabilistic cue integration for robust 3D object tracking,
Southwest04(216-220).
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Nilsback, M.E., Caputo, B.,
Cue integration through discriminative accumulation,
CVPR04(II: 578-585).
IEEE DOI 0408
Information fusion. BibRef

Comaniciu, D.,
Nonparametric information fusion for motion estimation,
CVPR03(I: 59-66).
IEEE DOI 0307
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Comaniciu, D.,
Density estimation-based information fusion for multiple motion computation,
Motion02(241-246).
IEEE DOI 0303
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Gurevich, I.B., Jemova, I.A., Smetanin, Y.G.,
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Garg, A., Agarwal, S., Huang, T.S.,
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IEEE Top Reference. 0208

See also Fusing interferometric radar and laser altimeter data to estimate surface topography and vegetation heights. BibRef

DeCarlo, D.,
Towards Real-Time Cue Integration by Using Partial Results,
ECCV02(IV: 327 ff.).
Springer DOI 0205
BibRef

Sherrah, J.[Jamie], Gong, S.G.[Shao-Gang],
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects,
ICCV01(II: 42-49).
IEEE DOI 0106
BibRef
Earlier:
Fusion of Perceptual Cues using Covariance Estimation,
BMVC99(Movement and Tracking).
PDF File. BibRef

Pan, H.[Hao], Liang, Z.P.[Zhi-Pei], Huang, T.S.[Thomas S.],
Exploiting the Dependencies in Information Fusion,
CVPR99(II: 407-412).
IEEE DOI Bayesian framework. BibRef 9900

Pan, H., Liang, Z.P., Anastasio, T.J., Huang, T.S.,
A hybrid NN-Bayesian architecture for information fusion,
ICIP98(I: 368-371).
IEEE DOI 9810
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Bräutigam, C.G.[Carsten G.], Eklundh, J.O.[Jan-Olof], Christensen, H.I.[Henrik I.],
A Model-Free Voting Approach for Integrating Multiple Cues,
ECCV98(I: 734).
Springer DOI BibRef 9800

Hutber, D., Zhang, Z.,
A Two-Stage Approach to Multi-Sensor Temporal Data Fusion,
BMVC94(xx-yy).
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Proesmans, M., Pauwels, E.J., Van Gool, L.J., Moons, T., Oosterlinck, A.,
Image enhancement using non-linear diffusion,
CVPR93(680-681).
IEEE DOI 0403
BibRef

Pinz, A., Bartl, R.,
Information Fusion In Image Understanding,
ICPR92(I:366-370).
IEEE DOI BibRef 9200

Orr, M.J.L., Hallam, J., Fisher, R.B.,
Fusion Through Interpretation,
ECCV92(801-805).
Springer DOI BibRef 9200 Edinburgh BibRef

Booth, D.M., Thacker, N.A., Mayhew, J.E.W., Pidcock, M.K.,
Data Fusion Using an MLP,
BMVC91(xx-yy).
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From several vision modules. BibRef

McKendall, R., Mintz, M.,
Non-Monotonic Decision Rules for Sensor Fusion,
DARPA90(874-880). BibRef 9000

Kamberova, G., and Mintz, M.,
Robust Multi-Sensor Fusion: A Decision-Theoretic Approach,
DARPA90(867-873). BibRef 9000

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image and Sensor Fusion -- IR and Thermal with Visible .