12.1.4.7 Image and Sensor Fusion for Cartography and Aerial Images, Satellite Images, Remote Sensing

Chapter Contents (Back)
Fusion. Sensor Fusion. Cartography. Remote Sensing. See also Pansharpening, Fusion of Aerial Images. See also Super Resolution for Remote Sensing Applications.

Toet, A., van Ruyven, L., Velaton, J.,
Merging thermal and visual images by a contrast pyramid,
OptEng(28), No. 7, July 1989, pp. 789-792. BibRef 8907

Clement, V., Giraudon, G., Houzelle, S., Sandakly, F.,
Interpretation of Remotely Sensed Images in a Context of Multisensor Fusion Using a Multispecialist Architecture,
GeoRS(31), No. 4, July 1993, pp. 779-791.
IEEE Top Reference. BibRef 9307
Earlier:
Interpretation of Remotely Sensed Images in a Context of Multisensor Fusion,
ECCV92(815-819).
Springer DOI Context. BibRef

Clement, V., Giraudon, G., Houzelle, S.,
A Multi-Specialist Architecture for Sensor Fusion in Remote Sensing,
ICPR92(I:202-206).
IEEE DOI BibRef 9200

Bogart, M.[Mitchell], Decuypere, S.[Stefan], Masia, A.[Andrew], Proujansky, M.[Matthew],
Apparatus and method to merge images rasterized at different resolutions,
US_Patent5,239,625, Aug 24, 1993
WWW Link. BibRef 9308

Pinz, A., Prantl, M., Ganster, H., Koppborotschnig, H.,
Active Fusion: A New Method Applied to Remote Sensing Image Interpretation,
PRL(17), No. 13, November 25 1996, pp. 1349-1359. 9701
Remote Sensing. BibRef

Prantl, M., Ganster, H., Pinz, A.,
Active Fusion Using Bayesian Networks Applied to Multitemporal Remote Sensing Imagery,
ICPR96(III: 890-894).
IEEE DOI 9608
(Technical Univ. Graz, A) BibRef

Pinz, A.[Axel], Prantl, M.[Manfred], Ganster, H.[Harald],
Affine matching of intermediate symbolic representations,
CAIP95(359-367).
Springer DOI 9509
BibRef

Mascarenhas, N.D.A., Banon, G.J.F., Candeias, A.L.B.,
Multispectral Image Data Fusion Under a Bayesian-Approach,
JRS(17), No. 8, May 20 1996, pp. 1457-1471. 9605
BibRef

Ponti, M.P., Mascarenhas, N.D.A.,
Material analysis on noisy multispectral images using classifier combination,
Southwest04(1-5).
WWW Link. 0411
BibRef

Aguena, M.L.S.[Marcia L.S.], Mascarenhas, N.D.A.[Nelson D.A.],
Multispectral image data fusion using POCS and super-resolution,
CVIU(102), No. 2, May 2006, pp. 178-187.
WWW Link. Remote sensing; Image interpolation; POCS: Projections onto convex sets. 0605
BibRef

Wald, L., Ranchin, T., Mangolini, M.,
Fusion of Satellite Images of Different Spatial Resolutions: Assessing the Quality of Resulting Images,
PhEngRS(63), No. 6, June 1997, pp. 691-699. 9706
BibRef

Wald, L.,
Some Terms of Reference in Data Fusion,
GeoRS(37), No. 3, May 1999, pp. 1190.
IEEE Top Reference. BibRef 9905

Wilson, T.A., Rogers, S.K., Kabrisky, M.,
Perceptual-Based Image Fusion for Hyperspectral Data,
GeoRS(35), No. 4, July 1997, pp. 1007-1017.
IEEE Top Reference. 9708
BibRef

Boo, K.J., Bose, N.K.,
Multispectral Image Restoration with Multisensors,
GeoRS(35), No. 5, September 1997, pp. 1160-1170.
IEEE Top Reference. 9710
BibRef
Earlier: ICIP96(III: 995-998).
IEEE DOI BibRef

Bose, N.K., Boo, K.J.,
High Resolution Image Reconstruction with Multisensors,
IJIST(9), No. 4, 1998, pp. 294-304. 9808
BibRef

Ng, M.K.[Michael K.], Koo, J.[Jaehoon], Bose, N.K.,
Constrained total least-squares computations for high-resolution image reconstruction with multisensors,
IJIST(12), No. 1, 2002, pp. 35-42.
WWW Link. 0202
BibRef

Wen, Y.W.[You-Wei], Ng, M.K.[Michael K.], Ching, W.K.[Wai-Ki],
High-resolution image reconstruction from rotated and translated low-resolution images with multisensors,
IJIST(14), No. 2, 2004, pp. 75-83.
DOI Link 0408
BibRef

Ng, M.K.[Michael K.], Bose, N.K.,
Fast color image restoration with multisensors,
IJIST(12), No. 5, 2002, pp. 189-197.
WWW Link. 0308
BibRef

Ng, M.K.[Michael K.], Kwan, W.C.,
MAP regularized image reconstruction with multisensors,
ICIP99(III:464-468).
IEEE DOI hogh resolution reconstruction BibRef 9900

Huet, F.[Florence], Philipp-Foliguet, S.[Sylvie],
Fusion of Images Interpreted by a New Fuzzy Classifier,
PAA(1), No. 4, 1998, pp. 231-247. BibRef 9800
Earlier:
Fusion of Images after Segmentation by Various Operators and Interpretation by a Multi-Scale Fuzzy Classification,
ICPR98(Vol II: 1843-1845).
IEEE DOI 9808
BibRef
And:
A Multi-Scale Fuzzy Classification by KNN: Application to the Interpretation of Aerial Images,
ICPR98(Vol I: 96-98).
IEEE DOI 9808
BibRef

Toutin, T.,
SPOT and Landsat Stereo Fusion for Data Extraction over Mountainous Areas,
PhEngRS(64), No. 2, February 1998, pp. 109-113. 9803
BibRef

Zhukov, B.S., Oertel, D.A.,
Modeling of the Fusion of Imaging Spectrometer and Multispectral Scanner Data with a Different Spatial-Resolution,
EORS(14), No. 5, 1997, pp. 723-739. 9804
BibRef

Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.,
Multiresolution-Based Image Fusion with Additive Wavelet Decomposition,
GeoRS(37), No. 3, May 1999, pp. 1204.
IEEE Top Reference. BibRef 9905

Nunez, J.[Jorge], Otazu, X.[Xavier], Fors, O.[Octavi], Prades, A.[Albert], Pala, V.[Vicenc], Arbiol, R.[Roman],
Image fusion with additive multiresolution wavelet decomposition. Applications to SPOT and Landsat images,
JOSA-A(16), No. 3, March 1999, pp. 467-474. BibRef 9903

Nunez, J.[Jorge], Fors, O., Otazu, X.[Xavier], Pala, V.[Vicenc], Arbiol, R.[Roman], Merino, M.T.,
A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images,
GeoRS(44), No. 9, September 2006, pp. 2539-2548.
IEEE DOI 0609
BibRef

Otazu, X.[Xavier], Pujol, O.[Oriol],
Wavelet based approach to cluster analysis. Application on low dimensional data sets,
PRL(27), No. 14, 15 October 2006, pp. 1590-1605.
WWW Link. 0609
Wavelet Transforms; Image classification; Clustering methods BibRef

Solberg, A.H.S.[Anne H. Schistad],
Contextual Data Fusion Applied to Forest Map Revision,
GeoRS(37), No. 3, May 1999, pp. 1234.
IEEE Top Reference. BibRef 9905
Earlier:
Texture Fusion and Classification Based on Flexible Discriminant Analysis,
ICPR96(II: 596-600).
IEEE DOI 9608
(Norwegian Computing Center, N) BibRef

Solberg, A.H.S., Jain, A.K.,
Texture Fusion and Feature-Selection Applied to SAR Imagery,
GeoRS(35), No. 2, March 1997, pp. 475-479.
IEEE Top Reference. 9704
BibRef

Price, J.C.,
Combining Multispectral Data of Differing Spatial Resolution,
GeoRS(37), No. 3, May 1999, pp. 1199.
IEEE Top Reference. BibRef 9905

Nielsen, A.A.,
Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data,
IP(11), No. 3, March 2002, pp. 293-305.
IEEE DOI 0203
For data fusion. Transform multispectral data into orthogonal bases BibRef

Melgani, F.[Farid], Serpico, S.B.[Sebastiano B.],
A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images,
PRL(23), No. 9, July 2002, pp. 1053-1061.
Elsevier DOI 0205
BibRef

Moser, G., Serpico, S.B.,
Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification,
GeoRS(51), No. 5, May 2013, pp. 2734-2752.
IEEE DOI 1305
BibRef

Melgani, F.[Farid], Serpico, S.B.[Sebastiano B.],
A markov random field approach to spatio-temporal contextual image classification,
GeoRS(41), No. 11, November 2003, pp. 2478-2487.
IEEE Abstract. 0311
BibRef

Datcu, M., Melgani, F., Piardi, A., Serpico, S.B.,
Multisource data classification with dependence trees,
GeoRS(40), No. 3, March 2002, pp. 609-617.
IEEE Top Reference. 0206
BibRef

Gamba, P., Hellwich, O., Lombardo, P.,
Theme issue on Algorithms and Techniques for Multi-Source Data Fusion in Urban Areas,
PandRS(58), No. 1, June 2003, pp. 1-3.
WWW Link. 0307
BibRef

Ranchin, T.[Thierry], Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Wald, L.[Lucien],
Image fusion: The ARSIS concept and some successful implementation schemes,
PandRS(58), No. 1, June 2003, pp. 4-18.
WWW Link. 0307
BibRef

Aiazzi, B., Alparone, L., Baronti, S., Cappellini, V., Carlà, R., Mortelli, L.,
Pyramid-based multi-sensor image data fusion with enhancement of textural features,
CIAP97(I: 87-94).
Springer DOI 9709
BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Garzelli, A., Selva, M.[Massimo],
MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery,
PhEngRS(72), No. 5, May 2006, pp. 591-596.
WWW Link. 0610
A multiresolution framework for merging a multispectral image having an arbitrary number of bands with a higher-resolution panchromatic observation. BibRef

Chen, C.M., Hepner, G.F., Forster, R.R.,
Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features,
PandRS(58), No. 1, June 2003, pp. 19-30.
WWW Link. 0307
BibRef

Guidi, G., Beraldin, J.A., Ciofi, S., Atzeni, C.,
Fusion of range camera and photogrammetry: A systematic procedure for improving 3-D models metric accuracy,
SMC-B(33), No. 4, August 2003, pp. 667-676.
IEEE Abstract. 0308
BibRef

Schiewe, J.[Jochen],
Integration of multi-sensor data for landscape modeling using a region-based approach,
PandRS(57), No. 5-6, April 2003, pp. 371-379.
WWW Link. 0307
BibRef

Chen, D.M.[Dong-Mei], Stow, D.[Douglas],
Strategies for Integrating Information from Multiple Spatial Resolutions into Land-Use/ Land-Cover Classification Routines,
PhEngRS(69), No. 11, November 2003, pp. 1279-1288. Three strategies for integrating image information from different spatial resolutions into classification routines are developed and tested.
WWW Link. 0401
BibRef

Schneider, A.[Annemarie], Friedl, M.A.[Mark A.], McIver, D.M.[Douglas M.], Woodcock, C.E.[Curtis E.],
Mapping Urban Areas by Fusing Multiple Sources of Coarse Resolution Remotely Sensed Data,
PhEngRS(69), No. 12, December 2003, pp. 1377-1386. The main objective of this research is to improve the understanding of the methodological, scale, and validation requirements for mapping urban land cover from the fusion of 1-km MODIS data with DMSP nighttime lights data set and gridded population density data.
WWW Link. 0401
BibRef

Pinzon, J.E., Pierce, J.F., Tucker, C.J., Brown, M.E.,
Evaluating coherence of natural images by smoothness membership in Besov spaces,
GeoRS(39), No. 9, September 2001, pp. 1879-1889.
IEEE Top Reference. 0111
BibRef

Lotsch, A., Friedl, M.A., Pinzon, J.E.,
Spatio-Temporal Deconvolution of NDVI Image Sequences Using Independent Component Analysis,
GeoRS(41), No. 12, December 2003, pp. 2938-2942.
IEEE Abstract. 0402
BibRef

Morisette, J.T.[Jeffrey T.], Nickeson, J.E.[Jaime E.], Davis, P.[Paul], Wang, Y.J.[Yu-Jie], Tian, Y.H.[Yu-Hong], Woodcock, C.E.[Curtis E.], Shabanov, N.[Nikolay], Hansen, M.[Matthew], Cohen, W.B.[Warren B.], Oetter, D.R.[Doug R.], Kennedy, R.E.[Robert E.],
High spatial resolution satellite observations for validation of MODIS land products: IKONOS observations acquired under the NASA Scientific Data Purchase,
RSE(88), No. 1-2, November 2003, pp. 100-110.
WWW Link. 0401
BibRef

Shi, W.Z.[Wen-Zhong], Zhu, C.Q.[Chang-Qing], Zhu, C.Y.[Cai-Ying], Yang, X.M.[Xiao-Mei],
Multi-Band Wavelet for Fusing SPOT Panchromatic and Multispectral Images,
PhEngRS(69), No. 5, May 2003, pp. 513-520. A three-band wavelet is implemented to fuse 10-m SPOT panchromatic and 30-m multispectral TM images, method is compared with previous methods such as the two-band wavelet and IHS methods for image fusion.
WWW Link. 0307
BibRef

Shi, W.Z.[Wen-Zhong], Zhu, C.Q.[Chang-Qing], Zhu, S.L.[Shu-Long],
Fusing Ikonos Images by a Four-band Wavelet Transformation Method,
PhEngRS(73), No. 11, November 2007, pp. 1285-1292.
WWW Link. 0709
A fourband wavelet fusion method for fusing one-meter panchromatic and four-meter multispectral imagery. BibRef

Gonzalez-Audicana, M., Saleta, J.L., Catalan, R.G., Garcia, R.,
Fusion of Multispectral and Panchromatic Images Using Improved IHS and PCA Mergers Based on Wavelet Decomposition,
GeoRS(42), No. 6, June 2004, pp. 1291-1299.
IEEE Abstract. 0407
BibRef

Hardie, R.C., Eismann, M.T., Wilson, G.L.,
MAP Estimation for Hyperspectral Image Resolution Enhancement Using an Auxiliary Sensor,
IP(13), No. 9, September 2004, pp. 1174-1184.
IEEE DOI 0409
BibRef

Eismann, M.T., Hardie, R.C.,
Hyperspectral Resolution Enhancement Using High-Resolution Multispectral Imagery With Arbitrary Response Functions,
GeoRS(43), No. 3, March 2005, pp. 455-465.
IEEE Abstract. 0501
BibRef

Maselli, F., Chiesi, M.,
Integration of High- and Low-Resolution Satellite Data to Estimate Pine Forest Productivity in a Mediterranean Coastal Area,
GeoRS(43), No. 1, January 2005, pp. 135-143.
IEEE Abstract. 0501
BibRef

Jimenez, L.O., Rivera-Medina, J.L., Rodriguez-Diaz, E., Arzuaga-Cruz, E., Ramirez-Velez, M.,
Integration of Spatial and Spectral Information by Means of Unsupervised Extraction and Classification for Homogenous Objects Applied to Multispectral and Hyperspectral Data,
GeoRS(43), No. 4, April 2005, pp. 844-851.
IEEE Abstract. 0501
BibRef

Habib, A.[Ayman], Al-Ruzouq, R.[Rami],
Semi-Automatic Registration of Multi-Source Satellite Imagery with Varying Geometric Resolutions,
PhEngRS(71), No. 3, March 2005, pp. 325-332. A semi-automatic image registration paradigm that can handle multi-source satellite imagery with varying geometric resolutions.
WWW Link. 0509
BibRef

Li, Z.H.[Zhen-Hua], Jing, Z.L.[Zhong-Liang], Yang, X.H.[Xu-Hong], Sun, S.Y.[Shao-Yuan],
Color transfer based remote sensing image fusion using non-separable wavelet frame transform,
PRL(26), No. 13, 1 October 2005, pp. 2006-2014.
WWW Link. 0509
BibRef

Tadesse, T.[Tsegaye], Brown, J.F.[Jesslyn F.], Hayes, M.J.[Michael J.],
A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains,
PandRS(59), No. 4, June 2005, pp. 244-253.
WWW Link. 0509
BibRef

Gonzalez-Audicana, M., Otazu, X., Fors, O., Alvarez-Mozos, J.,
A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors,
GeoRS(44), No. 6, June 2006, pp. 1683-1691.
IEEE DOI 0606
BibRef

Ballester, C.[Coloma], Caselles, V.[Vicent], Igual, L.[Laura], Verdera, J.[Joan], Rougé, B.[Bernard],
A Variational Model for P+XS Image Fusion,
IJCV(69), No. 1, August 2006, pp. 43-58.
Springer DOI 0606
Increase resolution using pan image and lower resolution multi-spectral iamge. BibRef

Joshi, M.V., Bruzzone, L., Chaudhuri, S.,
A Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images,
GeoRS(44), No. 9, September 2006, pp. 2549-2562.
IEEE DOI 0609
BibRef

Garcia-Haro, F.J., Camacho-deCoca, F., Melia, J.,
A Directional Spectral Mixture Analysis Method: Application to Multiangular Airborne Measurements,
GeoRS(44), No. 2, February 2006, pp. 365-377.
IEEE DOI 0602
Combine multiple signatures. BibRef

Chibani, Y.[Youcef],
Additive integration of SAR features into multispectral SPOT images by means of the à trous wavelet decomposition,
PandRS(60), No. 5, August 2006, pp. 306-314.
WWW Link. 0610
Intensity-hue-saturation transform; Modified Brovey transform; a trous wavelet decomposition; Remote sensing BibRef

Koch, A.[Andreas], Heipke, C.[Christian],
Semantically correct 2.5D GIS data -- The integration of a DTM and topographic vector data,
PandRS(61), No. 1, October 2006, pp. 23-32.
WWW Link. 0610
DTM; Integration; Adjustment; Modelling BibRef

Soulakellis, N.A.[Nikolaos A.], Novak, I.D.[Irwin D.], Zouros, N.[Nikolaos], Lowman, P.[Paul], Yates, J.[Jacob],
Fusing Landsat-5 TM Imagery and Shaded Relief Maps in Tectonic and Geomorphic Mapping: Lesvos Island, Greece,
PhEngRS(72), No. 6, June 2006, pp. 693-700.
WWW Link. 0610
An improved methodology of data fusion for tectonic and geomorphic mapping to augment the traditional false color composite analysis. BibRef

Švab, A.[Andreja], Ošti, K.[Krištof],
High-resolution Image Fusion: Methods to Preserve Spectral and Spatial Resolution,
PhEngRS(72), No. 5, May 2006, pp. 565-572.
WWW Link. 0610
Quality analysis and theoretical limits of selected image fusion methods with special attention to the spectral sensitivity analysis and preservation of spectral (color) and spatial information from Ikonos, QuickBird, and Landsat images. BibRef

Ferguson, R.L.[Randolph L.], Krouse, C.[Charles], Patterson, M.[Marlene], Hare, J.A.[Jonathan A.],
Automated Thematic Registration of NOAA, CoastWatch, and AVHRR Images,
PhEngRS(72), No. 6, June 2006, pp. 677-686.
WWW Link. 0610
Mean radial error less than one pixel was robust to cloud cover. BibRef

Inglada, J., Muron, V., Pichard, D., Feuvrier, T.,
Analysis of Artifacts in Subpixel Remote Sensing Image Registration,
GeoRS(45), No. 1, January 2007, pp. 254-264.
IEEE DOI 0701
BibRef

Pradhan, P.S., King, R.L., Younan, N.H., Holcomb, D.W.,
Estimation of the Number of Decomposition Levels for a Wavelet-Based Multiresolution Multisensor Image Fusion,
GeoRS(44), No. 12, December 2006, pp. 3674-3686.
IEEE DOI 0701
BibRef

Gangkofner, U.G.[Ute G.], Pradhan, P.S.[Pushkar S.], Holcomb, D.W.[Derrold W.],
Optimizing the High-pass Filter Addition Technique for Image Fusion,
PhEngRS(74), No. 9, September 2008, pp. 1107-1118.
WWW Link. 0804
An upgraded methodology for High-Pass adding-based image fusion and comparison of results with wavelet-based image fusion results using spectral and spatial metrics. BibRef

Wong, A.[Alexander], Clausi, D.A.[David A.],
ARRSI: Automatic Registration of Remote-Sensing Images,
GeoRS(45), No. 5, May 2007, pp. 1483-1493.
IEEE DOI 0704
BibRef

Wong, A.[Alexander], Clausi, D.A.[David A.],
AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations,
PRL(31), No. 10, 15 July 2010, pp. 1160-1167.
Elsevier DOI 1008
Image registration; Inter-sensor; Inter-band; Complex wavelet feature representations; Remote sensing BibRef

Wong, A.[Alexander],
Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kern, J.P.[Jeffrey P.], Pattichis, M.S.[Marios S.],
Robust Multispectral Image Registration Using Mutual-Information Models,
GeoRS(45), No. 5, May 2007, pp. 1494-1505.
IEEE DOI 0704
BibRef

Kalpoma, K.A., Kudoh, J.I.,
Image Fusion Processing for IKONOS 1-m Color Imagery,
GeoRS(45), No. 10, October 2007, pp. 3075-3086.
IEEE DOI 0711
BibRef

Buntilov, V., Bretschneider, T.R.,
A Content Separation Image Fusion Approach: Toward Conformity Between Spectral and Spatial Information,
GeoRS(45), No. 10, October 2007, pp. 3252-3263.
IEEE DOI 0711
BibRef

Li, R.X.[Rong-Xing], Zhou, F.[Feng], Niu, X.[Xutong], Di, K.C.[Kai-Chang],
Integration of Ikonos and QuickBird Imagery for Geopositioning Accuracy Analysis,
PhEngRS(73), No. 9, September 2007, pp. 1067-1075.
WWW Link. 0709
The integration of Ikonos and QuickBird imagery is feasible and can improve 3D geopositioning accuracy using proper combinations of images. BibRef

Chen, S.H.[Shao-Hui], Su, H.B.[Hong-Bo], Zhang, R.H.[Ren-Hua], Tian, J.[Jing],
Fusing remote sensing images using a trous wavelet transform and empirical mode decomposition,
PRL(29), No. 3, 1 February 2008, pp. 330-342.
WWW Link. 0801
Image fusion; A trous wavelet transform; Empirical mode decomposition; Dyadic wavelet transform See also Depth image enlargement using an evolutionary approach. BibRef

Cakir, H.I.[Halil I.], Khorram, S.[Siamak],
Pixel Level Fusion of Panchromatic and Multispectral Images Based on Correspondence Analysis,
PhEngRS(74), No. 2, February 2008, pp. 183-192.
WWW Link. 0803
A pixel level data fusion approach based on correspondence analysis for high spatial and spectral resolution satellite data. BibRef

Hester, D.B.[David Barry], Cakir, H.I.[Halil I.], Nelson, S.A.C.[Stacy A.C.], Khorram, S.[Siamak],
Per-pixel Classification of High Spatial Resolution Satellite Imagery for Urban Land-cover Mapping,
PhEngRS(74), No. 4, April 2008, pp. 463-472.
WWW Link. 0804
Image fusion, spectral-based classifi cation, and GIS-based map refi nement methods used to derive an urban land-cover map from high spatial resolution satellite data. BibRef

Aanæs, H.[Henrik], Sveinsson, J.R.[Johannes R.], Nielsen, A.A.[Allan Aasbjerg], Bøvith, T.[Thomas], Benediktsson, J.A.[Jón Atli],
Model-Based Satellite Image Fusion,
GeoRS(46), No. 5, May 2008, pp. 1336-1346.
IEEE DOI 0804
BibRef

Gu, Y., Zhang, Y., Zhang, J.,
Integration of Spatial-Spectral Information for Resolution Enhancement in Hyperspectral Images,
GeoRS(46), No. 5, May 2008, pp. 1347-1358.
IEEE DOI 0804
BibRef

Gupta, P., Patadia, F., Christopher, S.A.,
Multisensor Data Product Fusion for Aerosol Research,
GeoRS(46), No. 5, May 2008, pp. 1407-1415.
IEEE DOI 0804
BibRef

Santos, C.[Carolina], Messina, J.P.[Joseph P.],
Multi-Sensor Data Fusion for Modeling African Palm in the Ecuadorian Amazon,
PhEngRS(74), No. 6, June 2008, pp. 711-724.
WWW Link. 0711
A significant improvement in the classification accuracy obtained through the fusion of optical and RADARSAT texture measures as compared to single sensor classifications. BibRef

Ancuti, C.[Cosmin], Haber, T.[Tom], Mertens, T.[Tom], Bekaert, P.[Philippe],
Video enhancement using reference photographs,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Zhao, Y.Q., Gong, P., Pan, Q.,
Object Detection by Spectropolarimeteric Imagery Fusion,
GeoRS(46), No. 10, October 2008, pp. 3337-3345.
IEEE DOI 0810
BibRef

Farah, I.R., Boulila, W., Ettabaa, K.S., Solaiman, B., Ahmed, M.B.,
Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information,
GeoRS(46), No. 12, December 2008, pp. 4142-4152.
IEEE DOI 0812
BibRef

Farah, I.R., Boulila, W., Ettabaa, K.S., Ahmed, M.B.,
Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification,
GeoRS(46), No. 12, December 2008, pp. 4153-4161.
IEEE DOI 0812
BibRef

Hemissi, S., Farah, I.R., Ettabaa, K.S.[K. Saheb], Solaiman, B.,
Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra,
GeoRS(51), No. 1, January 2013, pp. 199-216.
IEEE DOI 1301
BibRef

Boulila, W.[Wadii], Farah, I.R.[Imed Riadh],
Multi-approach Satellite Images Fusion Based On Blind Sources Separation,
IJIG(11), No. 1, January 2011, pp. 117-136.
DOI Link 1103
BibRef

Radhadevi, P.V., Solanki, S.S., Jyothi, M.V., Nagasubramanian, V., Varadan, G.[Geeta],
Automated co-registration of images from multiple bands of Liss-4 camera,
PandRS(64), No. 1, January 2009, pp. 17-26.
Elsevier DOI 0804
Co-registration; In-flight calibration; Sensor model; Orbit-aligned; Geo-aligned BibRef

Aksoy, S.[Selim], Koperski, K.[Krzysztof], Tusk, C.[Carsten], Marchisio, G.[Giovanni],
Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data,
PhEngRS(75), No. 5, May 2009, pp. 577-593.
WWW Link. 0904
Decision tree classifiers can be learned with alternative decision nodes for handling missing data in multi-source information fusion where one or more measurements do not exist for some locations. BibRef

Li, Z., Leung, H.,
Fusion of Multispectral and Panchromatic Images Using a Restoration-Based Method,
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IEEE DOI 0904
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Integration of DEM, ETM+, Geologic, and Magnetic Data for Geological Investigations in the Jifara Plain, Libya,
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Elsevier DOI 0910
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Yang, G., Pu, R., Huang, W., Wang, J., Zhao, C.,
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Zubko, V., Leptoukh, G.G., Gopalan, A.,
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Nitti, D.O., Hanssen, R.F., Refice, A., Bovenga, F., Nutricato, R.,
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Mahyari, A.G.[A. Golibagh], Yazdi, M.,
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Choi, K., Kim, C., Kang, M.H., Ra, J.B.,
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Sadhasivam, S.K.[Senthil Kumar], Keerthivasan, M.B.[Mahesh Bharath], S, M.[Muttan],
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Xu, M.[Min], Chen, H.[Hao], Varshney, P.K.,
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Gumma, M., Thenkabail, P., Hideto, F., Nelson, A., Dheeravath, V., Busia, D., Rala, A.,
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Song, H.H.[Hui-Hui], Huang, B.[Bo],
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geophysical image processing BibRef

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Li, S., Yin, H., Fang, L.,
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Lee, I.H., Choi, T.S.,
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Witharana, C.[Chandi], Civco, D.L.[Daniel L.], Meyer, T.H.[Thomas H.],
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Chien, C.L.[Chun-Liang], Tsai, W.H.[Wen-Hsiang],
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IEEE DOI 1410
deformation BibRef

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ICPR14(912-917)
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Fusion BibRef

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GeoRS(53), No. 7, July 2015, pp. 3658-3668.
IEEE DOI 1503
Bayes methods BibRef
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ICIP14(698-702)
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Wei, Q.[Qi], Dobigeon, N.[Nicolas], Tourneret, J.Y.[Jean-Yves],
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation,
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Wei, Q.[Qi], Dobigeon, N.[Nicolas], Tourneret, J.Y.[Jean-Yves], Bioucas-Dias, J.M., Godsill, S.,
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Wei, Q.[Qi], Bioucas-Dias, J., Dobigeon, N.[Nicolas], Tourneret, J.Y., Chen, M., Godsill, S.,
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IEEE DOI 1509
Survey, Sensor Fusion. Image fusion BibRef

Mura, M.D.[M. Dalla], Prasad, S., Pacifici, F., Gamba, P., Chanussot, J., Benediktsson, J.A.,
Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing,
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IEEE DOI 1509
Data integration BibRef

Malleswara Rao, J., Rao, C.V., Senthil Kumar, A., Lakshmi, B., Dadhwal, V.K.,
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edge detection BibRef

Yong, X.Z.[Xuan-Zi], Yang, M.Y.[Michael Ying], Cao, Y.P.[Yan-Peng], Rosenhahn, B.[Bodo],
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Springer DOI 1511
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FusionOutdoor14(770-777)
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Cerra, D., Bieniarz, J., Avbelj, J., Reinartz, P., Müller, R.,
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Wang, H.Z.[Hong-Zhou], Glennie, C.[Craig],
Fusion of waveform LiDAR data and hyperspectral imagery for land cover classification,
PandRS(108), No. 1, 2015, pp. 1-11.
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Full waveform LiDAR BibRef

Han, Y.[Youkyung], Bovolo, F., Bruzzone, L.,
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Han, Y.[Youkyung], Bovolo, F., Bruzzone, L.,
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IEEE DOI 1705
atmospheric optics, image registration, high resolution multitemporal images, homogeneous spectral properties, images registration, multiple displacement analysis, multispectral image, multitemporal VHR images, registration noise, residual local misalignment, segmentation-based fine registration, standard registration, Correlation, Feature extraction, Geometry, Image color analysis, Image resolution, Image segmentation, Multitemporal images, object representative points, registration, registration noise (RN), remote sensing, urban areas, very high resolution (VHR), BibRef

Wu, B.[Bo], Huang, B.[Bo], Zhang, L.P.[Liang-Pei],
An Error-Bound-Regularized Sparse Coding for Spatiotemporal Reflectance Fusion,
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Bai, K.[Kaixu], Chang, N.B.[Ni-Bin], Chen, C.F.[Chi-Farn],
Spectral Information Adaptation and Synthesis Scheme for Merging Cross-Mission Ocean Color Reflectance Observations From MODIS and VIIRS,
GeoRS(54), No. 1, January 2016, pp. 311-329.
IEEE DOI 1601
ocean composition BibRef

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Code, Registration. BibRef

Li, Y.H.[Yong-Hong], Wu, A.S.[Ai-Sheng], Xiong, X.X.[Xiao-Xiong],
Inter-Comparison of S-NPP VIIRS and Aqua MODIS Thermal Emissive Bands Using Hyperspectral Infrared Sounder Measurements as a Transfer Reference,
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Wang, L.[Likun], Tremblay, D.[Denis], Zhang, B.[Bin], Han, Y.[Yong],
Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite Measurements with Cross-Track Infrared Sounder,
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Zhang, Y.H.[Yu-Hang], Prasad, S.[Saurabh],
Multisource Geospatial Data Fusion via Local Joint Sparse Representation,
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IEEE DOI 1606
geophysical image processing BibRef

Montzka, C., Jagdhuber, T., Horn, R., Bogena, H.R., Hajnsek, I., Reigber, A., Vereecken, H.,
Investigation of SMAP Fusion Algorithms With Airborne Active and Passive L-Band Microwave Remote Sensing,
GeoRS(54), No. 7, July 2016, pp. 3878-3889.
IEEE DOI 1606
L-band BibRef

Liao, L.M.[Li-Min], Song, J.L.[Jin-Ling], Wang, J.D.[Jin-Di], Xiao, Z.Q.[Zhi-Qiang], Wang, J.[Jian],
Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI,
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Ling, X.[Xiao], Zhang, Y.J.[Yong-Jun], Xiong, J.X.[Jin-Xin], Huang, X.[Xu], Chen, Z.P.[Zhi-Peng],
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Shen, H., Meng, X., Zhang, L.,
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GeoRS(54), No. 12, December 2016, pp. 7135-7148.
IEEE DOI 1612
geophysical image processing BibRef

Shen, H.,
Integrated Fusion Method For Multiple Temporal-spatial-spectral Images,
ISPRS12(XXXIX-B7:407-410).
DOI Link 1209
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Multimodal registration of remotely sensed images based on Jeffrey's divergence,
PandRS(122), No. 1, 2016, pp. 97-115.
Elsevier DOI 1612
Multimodal image registration BibRef

Zhao, M., An, B., Wu, Y., Van Luong, H., Kaup, A.,
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GeoRS(55), No. 1, January 2017, pp. 375-391.
IEEE DOI 1701
error analysis BibRef

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Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning,
RS(9), No. 1, 2017, pp. xx-yy.
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Chen, B.[Bin], Huang, B.[Bo], Xu, B.[Bing],
Multi-source remotely sensed data fusion for improving land cover classification,
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Land cover classification BibRef

Nguyen, H.[Hai], Cressie, N.[Noel], Braverman, A.[Amy],
Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets,
RS(9), No. 2, 2017, pp. xx-yy.
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Ye, Y., Shan, J., Bruzzone, L., Shen, L.,
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity,
GeoRS(55), No. 5, May 2017, pp. 2941-2958.
IEEE DOI 1705
image matching, image registration, optical radar, remote sensing, synthetic aperture radar, LiDAR, SAR, automatic image registration, fast template matching scheme, feature descriptor, histogram of orientated phase congruency, light detection and ranging, map data, multimodal remote sensing data, multimodal remote sensing image registration, normalized correlation coefficient, optical radar, robust registration method, structural similarity, synthetic aperture radar, Feature extraction, Image registration, Nonlinear optics, Radiometry, Remote sensing, Robustness, Image registration, multimodal image analysis, phase congruency, structural, similarity BibRef

Wang, Q., Blackburn, G.A., Onojeghuo, A.O., Dash, J., Zhou, L., Zhang, Y., Atkinson, P.M.,
Fusion of Landsat 8 OLI and Sentinel-2 MSI Data,
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IEEE DOI 1706
Earth, Image fusion, MODIS, Monitoring, Remote sensing, Satellites, Spatial resolution, Downscaling, Landsat 8 Operational Land Imager (OLI), Sentinel-2 Multispectral Imager (MSI), global monitoring, image, fusion BibRef

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Data integration, Monitoring, Remote sensing, Sensors, Spatial resolution, Spatiotemporal phenomena, Data fusion, nonlocal, reflectance prediction, similarity information, spatiotemporal BibRef

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Bayes methods, estimation theory, hyperspectral imaging, image fusion, inference mechanisms, matrix decomposition, mean square error methods, optical transfer function, BibRef

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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Pansharpening, Fusion of Aerial Images .


Last update:Dec 7, 2017 at 17:23:10