12.1.4.6 Image and Sensor Fusion for Cartography and Aerial Images

Chapter Contents (Back)
Fusion. Cartography. Pan-Sharpening. Often, fuse different resolution images to display color (Multi-spectral) images at a higher resolution than they really are. See also Super Resolution for Remote Sensing Applications.

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Fast color image restoration with multisensors,
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Huet, F.[Florence], Philipp-Foliguet, S.[Sylvie],
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Earlier:
Fusion of Images after Segmentation by Various Operators and Interpretation by a Multi-Scale Fuzzy Classification,
ICPR98(Vol II: 1843-1845).
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And:
A Multi-Scale Fuzzy Classification by KNN: Application to the Interpretation of Aerial Images,
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Gross, H.N., Schott, J.R.,
Application of Spectral Mixture Analysis and Image Fusion Techniques for Image Sharpening,
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Toutin, T.,
SPOT and Landsat Stereo Fusion for Data Extraction over Mountainous Areas,
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Zhukov, B.S., Oertel, D.A.,
Modeling of the Fusion of Imaging Spectrometer and Multispectral Scanner Data with a Different Spatial-Resolution,
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Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.,
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Nunez, J.[Jorge], Otazu, X.[Xavier], Fors, O.[Octavi], Prades, A.[Albert], Pala, V.[Vicenc], Arbiol, R.[Roman],
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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.
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Otazu, X.[Xavier], Pujol, O.[Oriol],
Wavelet based approach to cluster analysis. Application on low dimensional data sets,
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Contextual Data Fusion Applied to Forest Map Revision,
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Price, J.C.,
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Nielsen, A.A.,
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IP(11), No. 3, March 2002, pp. 293-305.
IEEE DOI may work or IEEE-CS DOI may work. 0203For data fusion. Transform multispectral data into orthogonal bases BibRef

Melgani, F.[Farid], Serpico, S.B.[Sebastiano B.],
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Melgani, F.[Farid], Serpico, S.B.[Sebastiano B.],
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Gamba, P., Hellwich, O., Lombardo, P.,
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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.
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Aiazzi, B., Alparone, L., Baronti, S., Cappellini, V., Carlà, R., Mortelli, L.,
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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 Version. 0610A multiresolution framework for merging a multispectral image having an arbitrary number of bands with a higher-resolution panchromatic observation. BibRef

Garzelli, A., Nencini, F., Capobianco, L.,
Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images,
GeoRS(46), No. 1, January 2008, pp. 228-236.
IEEE DOI may work or IEEE-CS DOI may work. 0712 BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Pippi, I.[Ivan], Selva, M.[Massimo],
Generalized Laplacian Pyramid-Based Fusion of MS + P Image Data with Spectral Distortion Minimization,
PCV02(B: 3). 0305 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 Version. 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.
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Schiewe, J.[Jochen],
Integration of multi-sensor data for landscape modeling using a region-based approach,
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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.
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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.
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Morisette, J.T.[Jeffrey T.], Nickeson, J.E.[Jaime E.], Davis, P.[Paul], Wang, Y.[Yujie], 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.],
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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.
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Shi, W.Z.[Wen-Zhong], Zhu, C.Q.[Chang-Qing], Zhu, S.L.[Shu-Long],
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WWW Version. 0709A 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.,
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GeoRS(42), No. 6, June 2004, pp. 1291-1299.
IEEE Abstract. IEEE Top Reference. 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.
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Eismann, M.T., Hardie, R.C.,
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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.
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Jimenez, L.O., Rivera-Medina, J.L., Rodriguez-Diaz, E., Arzuaga-Cruz, E., Ramirez-Velez, M.,
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Habib, A.[Ayman], Al-Ruzouq, R.[Rami],
Semi-Automatic Registration of Multi-Source Satellite Imagery with Varying Geometric Resolutions,
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Li, Z.H.[Zhen-Hua], Jing, Z.L.[Zhong-Liang], Yang, X.H.[Xu-Hong], Sun, S.Y.[Shao-Yuan],
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Tadesse, T.[Tsegaye], Brown, J.F.[Jesslyn F.], Hayes, M.J.[Michael J.],
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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 may work or IEEE-CS DOI may work. 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,
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WWW Version. 0606Increase 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.
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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.
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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 Version. 0610Intensity-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.
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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 Version. 0610An 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 Version. 0610Quality 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

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Automated Thematic Registration of NOAA, CoastWatch, and AVHRR Images,
PhEngRS(72), No. 6, June 2006, pp. 677-686.
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Inglada, J., Muron, V., Pichard, D., Feuvrier, T.,
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GeoRS(45), No. 1, January 2007, pp. 254-264.
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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.
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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 Version. 0804An 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,
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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.
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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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 Version. 0709The integration of Ikonos and QuickBird imagery is feasible and can improve 3D geopositioning accuracy using proper combinations of images. BibRef

Aiazzi, B., Baronti, S., Selva, M.,
Improving Component Substitution Pansharpening Through Multivariate Regression of MS+Pan Data,
GeoRS(45), No. 10, October 2007, pp. 3230-3239.
IEEE DOI may work or IEEE-CS DOI may work. 0711 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 Version. 0801Image fusion; A trous wavelet transform; Empirical mode decomposition; Dyadic wavelet transform 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 Version. 0803A 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 Version. 0804Image 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

Nikolakopoulos, K.G.[Konstantinos G.],
Comparison of Nine Fusion Techniques for Very High Resolution Data,
PhEngRS(74), No. 5, May 2008, pp. 647-660.
WWW Version. 0804 Survey, Pansharpening. The efficiency of nine fusion techniques: IHS, Modified IHS, PCA, Pansharp, Wavelet, Local Mean Matching, Local Mean and Variance Matching, Brovey, and Miltiplicative for fusion of QuickBird data. BibRef

Thomas, C., Ranchin, T., Wald, L., Chanussot, J.,
Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics,
GeoRS(46), No. 5, May 2008, pp. 1301-1312.
IEEE DOI may work or IEEE-CS DOI may work. 0804 Survey, Sensor Fusion. BibRef

Shah, V.P., Younan, N.H., King, R.L.,
An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets,
GeoRS(46), No. 5, May 2008, pp. 1323-1335.
IEEE DOI may work or IEEE-CS DOI may work. 0804 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 0804 BibRef

Fasbender, D., Radoux, J., Bogaert, P.,
Bayesian Data Fusion for Adaptable Image Pansharpening,
GeoRS(46), No. 6, June 2008, pp. 1847-1857.
IEEE DOI may work or IEEE-CS DOI may work. 0711 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 Version. 0711A significant improvement in the classification accuracy obtained through the fusion of optical and RADARSAT texture measures as compared to single sensor classifications. BibRef

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Wu, C.C.[Chang-Chang], Fraundorfer, F.[Friedrich], Frahm, J.M.[Jan-Michael], Snoeyink, J.[Jack], Pollefeys, M.[Marc],
Image Localization in Satellite Imagery with Feature-Based Indexing,
ISPRS08(B3a: 197 ff).
PDF Version. 0807 BibRef

Elaksher, A.,
Fusion of Hyperspectral Images and LIDAR-Based DEMs for Coastal Mapping,
ISPRS08(B3b: 725 ff).
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Abedini, A.[Abbas], Hahn, M.[Michael], Samadzadegan, F.[Farhad],
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Wu, H.B.[Hang-Bin], Liu, C.[Chun], Zhou, X.H.[Xin-Hua],
Data Fusion with Integration of Airborne Laser Scanning Data and Ortho-aerial Photos,
ISPRS08(B1: 309 ff).
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Díez, A., Arozarena, A., Ormeño, S., Aguirre, J., Rodríguez, R., Sáenz, A.,
Fusion and Optimization of LIDAR and Photogrammetric Technologies and Methodologies for Cartographic Production,
ISPRS08(B1: 349 ff).
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Schubert, F., Mikolajczyk, K.,
Combining High-Resolution Images With Low-Quality Videos,
BMVC08(xx-yy).
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Mata, F.[Felix],
Geographic Information Retrieval by Topological, Geographical, and Conceptual Matching,
GS07(98-113).
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Navarrete, T.[Toni], Blat, J.[Josep],
An Algorithm for Merging Geographic Datasets Based on the Spatial Distributions of Their Values,
GS07(66-81).
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Sunna, W.[William], Cruz, I.F.[Isabel F.],
Structure-Based Methods to Enhance Geospatial Ontology Alignment,
GS07(82-97).
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Lutz, M.[Michael], Lucchi, R.[Roberto], Friis-Christensen, A.[Anders], Ostländer, N.[Nicole],
A Rule-Based Description Framework for the Composition of Geographic Information Services,
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Chen, C.F.[Chi-Farn], Chen, M.H.[Min-Hsin], Li, H.T.[Hsiang-Tsu],
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Niranjan, S.[Shobhit], Gupta, G.[Gaurav], Mukerjee, A.[Amitabha], Gupta, S.[Sumana],
Efficient Registration of Aerial Image Sequences Without Camera Priors,
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Tomiya, M., Ageishi, A.,
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Kim, H.C.[Hak Chang], Kim, J.H.[Ji Hoon], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Interpolation of Multi-Spectral Images In Wavelet Domain for Satellite Image Fusion,
ICIP06(1009-1012). 0610
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Bustos, J.P., Donoso, F., Guesalaga, A., Torres, M.,
Matching Radar and Satellite Images Employing the Hausdorff Distance for Ship Positioning and Trajectory Estimation,
ICIP06(2797-2800). 0610
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Yoo, H.Y., Lee, K.,
Variographic Analysis of Multi-Source Remotely Sensed Imageries by Wavelet-based Approaches,
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Wen, J.[Jianting], Li, Y.[Yan], Gong, H.F.[Hai-Feng],
Remote Sensing Image Fusion on Gradient Field,
ICPR06(III: 643-646).
WWW Version. 0609 BibRef

Petrovic, V.[Vladimir], Xydeas, C.[Costas],
Objective Image Fusion Performance Characterisation,
ICCV05(II: 1866-1871).
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Beauchemin, M.[Mario], Fung, K.B.[Ko B.], Geng, X.Y.[Xiao-Yuan],
A Method Based on Local Variance for Quality Assessment of Multiresolution Image Fusion,
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Zia, A., DeBrunner, V., Chinnaswamy, A., DeBrunner, L.,
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Liedtke, C.E.[Claus-Ebergard], Growe, S.[Stefan],
Knowledge-Based Concepts for the Fusion of Multisensor and Multitemporal Aerial Images,
WTRCV01(190). 0103 BibRef

Linde, P., Snel, R.,
Combining Ground- and Space-Based Observations for Optimum Photometry in Crowded Stellar Fields,
SSAB97(Sensors) 9703 BibRef

Gonzalez, V.M.[Victor M.], and Williams, P.K.[Paul K.],
Summary of Progress in FLIR/LADAR Fusion for Target Identification at Rockwell,
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Desachy, J., Zahzah, E.H.,
Symbolic and iconic information combination for satellite imagery interpretation,
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion of Medical Data .


Last update:Oct 1, 2008 at 09:28:47