12.1.4.7 Pansharpening, Fusion of Aerial Images

Chapter Contents (Back)
Sensor Fusion. Cartography. Remote Sensing. Pansharpening. Pan-Sharpening. pan sharpening. Fuse different resolution images to display color (Multi-spectral) images at a higher resolution than they really are.

Alparone, L., Wald, L., Chanussot, J., Thomas, C., Gamba, P., Bruce, L.M.,
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest,
GeoRS(45), No. 10, October 2007, pp. 3012-3021.
IEEE DOI 0711
Survey, Pan-Sharpening. BibRef

Gross, H.N., Schott, J.R.,
Application of Spectral Mixture Analysis and Image Fusion Techniques for Image Sharpening,
RSE(63), No. 2, February 1998, pp. 85-94. 9801
BibRef

Garzelli, A.[Andrea], Nencini, F.[Filippo],
Panchromatic sharpening of remote sensing images using a multiscale Kalman filter,
PR(40), No. 12, December 2007, pp. 3568-3577.
WWW Link. 0709
Pan-sharpening; Multiresolution image fusion; "A trous" wavelet transform; Multiscale Kalman filter 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 0712
BibRef

Garzelli, A.,
Pansharpening of Multispectral Images Based on Nonlocal Parameter Optimization,
GeoRS(53), No. 4, April 2015, pp. 2096-2107.
IEEE DOI 1502
geophysical image processing 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

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 0711
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 Link. 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 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 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 0711
BibRef

Khan, M.M., Alparone, L., Chanussot, J.,
Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments,
GeoRS(47), No. 11, November 2009, pp. 3880-3891.
IEEE DOI 0911
BibRef

Lee, J., Lee, C.,
Fast and Efficient Panchromatic Sharpening,
GeoRS(48), No. 1, January 2010, pp. 155-163.
IEEE DOI 1001
BibRef

Li, S., Yang, B.,
A New Pan-Sharpening Method Using a Compressed Sensing Technique,
GeoRS(49), No. 2, February 2011, pp. 738-746.
IEEE DOI 1102
BibRef

Saeedi, J.[Jamal], Faez, K.[Karim],
A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform,
PandRS(66), No. 3, May 2011, pp. 365-381.
Elsevier DOI 1103
Pan-sharpening; Shiftable contourlet transform; Multiobjective particle swarm optimization BibRef

Massip, P., Blanc, P., Wald, L.,
A Method to Better Account for Modulation Transfer Functions in ARSIS-Based Pansharpening Methods,
GeoRS(50), No. 3, March 2012, pp. 800-808.
IEEE DOI 1203
BibRef

Samadzadegan, F.[Farhad], Dadras-Javan, F.[Farzaneh],
New Object Level Strategy for Image Fusion Quality Assessment of High Resolution Satellite Imagery,
PFG(2011), No. 3, 2011, pp. 123-133.
WWW Link. 1211
BibRef
Earlier: A2, A1:
Evaluating the potential of image quality metrics for quality assessment of high resolution pan-sharpen satellite imagery in urban area,
CGC10(189).
PDF File. 1006
BibRef

Weidner, U.[Uwe], Centeno, J.[Jorge], Silva, A.[Antonio],
Pansharpening Simple Approaches and their Evaluation,
PFG(2009), No. 4, 2009, pp. 317-327.
WWW Link. 1211
BibRef

Zhang, L.P.[Liang-Pei], Shen, H.F.[Huan-Feng], Gong, W.[Wei], Zhang, H.Y.[Hong-Yan],
Adjustable Model-Based Fusion Method for Multispectral and Panchromatic Images,
SMC-B(42), No. 6, December 2012, pp. 1693-1704.
IEEE DOI 1212
BibRef

Gao, F., Kustas, W., Anderson, M.,
A Data Mining Approach for Sharpening Thermal Satellite Imagery over Land,
RS(4), No. 11, November 2012, pp. 3287-3319.
DOI Link 1211
BibRef

Johnson, B., Tateishi, R., Hoan, N.,
Satellite Image Pansharpening Using a Hybrid Approach for Object-Based Image Analysis,
IJGI(1), No. 3, 2012, pp. 228-241.
DOI Link 1211
BibRef

Ellmauthaler, A.[Andreas], Pagliari, C.L.[Carla L.], da Silva, E.A.B.[Eduardo A.B.],
Multiscale Image Fusion Using the Undecimated Wavelet Transform With Spectral Factorization and Nonorthogonal Filter Banks,
IP(22), No. 3, March 2013, pp. 1005-1017.
IEEE DOI 1302
BibRef

Ellmauthaler, A.[Andreas], da Silva, E.A.B.[Eduardo A.B.], Pagliari, C.L.[Carla L.], Neves, S.R.[Sergio R.],
Infrared-visible image fusion using the undecimated wavelet transform with spectral factorization and target extraction,
ICIP12(2661-2664).
IEEE DOI 1302
BibRef

Alidoost, F.[Fakhereh], Mobasheri, M.R.[Mohammad R.], Abkar, A.A.[Ali A.],
Introducing a Method for Spectral Enrichment of the High Spatial Resolution Images,
PFG(2013), No. 1, 2013, pp. 31-41.
DOI Link 1303
BibRef

Metwalli, M.R., Nasr, A.H., Faragallah, O.S., El-Rabaie, S., El-Samie, F.E.A.[F.E. Abd],
Combining Superresolution and Fusion Methods for Sharpening Misrsat-1 Data,
GeoRS(51), No. 4, April 2013, pp. 2292-2301.
IEEE DOI 1304
BibRef

Ribeiro Sales, M.H., Souza, C.M., Kyriakidis, P.C.,
Fusion of MODIS Images Using Kriging With External Drift,
GeoRS(51), No. 4, April 2013, pp. 2250-2259.
IEEE DOI 1304
Different bands of MODIS have different resolutions. BibRef

Zhu, X.X.[Xiao Xiang], Bamler, R.[Richard],
A Sparse Image Fusion Algorithm With Application to Pan-Sharpening,
GeoRS(51), No. 5, May 2013, pp. 2827-2836.
IEEE DOI 1305
See also Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR. BibRef

Fang, F.M.[Fa-Ming], Li, F.[Fang], Shen, C.M.[Chao-Min], Zhang, G.X.[Gui-Xu],
A Variational Approach for Pan-Sharpening,
IP(22), No. 7, 2013, pp. 2822-2834.
IEEE DOI best pan-sharpened result; split Bregman algorithm; variational approach 1307
BibRef

Tang, S.Z.[Si-Zhang], Fang, F.M.[Fa-Ming], Zhang, G.X.[Gui-Xu],
Variational approach for multi-source image fusion,
IET-IPR(9), No. 2, 2015, pp. 134-141.
DOI Link 1503
gradient methods BibRef

Unni, R.K.[Ravi Krishnan], Jiji, C.V.,
Fusion of Multispectral and Panchromatic Images Based on the Nonsubsampled Contourlet Transform,
IJIG(13), No. 03, 2013, pp. 1350010.
DOI Link 1309
BibRef

Aiazzi, B.[Bruno], Baronti, S.[Stefano], Selva, M.[Massimo], Alparone, L.[Luciano],
Bi-cubic interpolation for shift-free pan-sharpening,
PandRS(86), No. 1, 2013, pp. 65-76.
Elsevier DOI 1312
Digital filtering BibRef

Carla, R., Santurri, L., Aiazzi, B., Baronti, S.,
Full-Scale Assessment of Pansharpening Through Polynomial Fitting of Multiscale Measurements,
GeoRS(53), No. 12, December 2015, pp. 6344-6355.
IEEE DOI 1512
geophysical image processing BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Carlà, R., Garzelli, A.[Andrea], Santurri, L.,
Sensitivity of Pansharpening Methods to Temporal and Instrumental Changes Between Multispectral and Panchromatic Data Sets,
GeoRS(55), No. 1, January 2017, pp. 308-319.
IEEE DOI 1701
data acquisition See also Multispectral and Panchromatic Data Fusion Assessment Without Reference. BibRef

Javan, F.D.[Farzaneh Dadras], Samadzadegan, F.[Farhad], Reinartz, P.[Peter],
Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric,
RS(5), No. 12, 2013, pp. 6539-6559.
DOI Link 1402
BibRef

Kang, X., Li, S., Benediktsson, J.A.,
Pansharpening With Matting Model,
GeoRS(52), No. 8, August 2014, pp. 5088-5099.
IEEE DOI 1403
Image coding See also Spectral-Spatial Hyperspectral Image Classification With Edge-Preserving Filtering. BibRef

Li, X., Ling, F., Du, Y., Zhang, Y.,
Spatially Adaptive Superresolution Land Cover Mapping With Multispectral and Panchromatic Images,
GeoRS(52), No. 5, May 2014, pp. 2810-2823.
IEEE DOI 1403
Panchromatic (PAN) image BibRef

Ling, F., Li, X., Xiao, F., Du, Y.,
Superresolution Land Cover Mapping Using Spatial Regularization,
GeoRS(52), No. 7, July 2014, pp. 4424-4439.
IEEE DOI 1403
Data models BibRef

Buades, A.[Antoni], Coll, B.[Bartomeu], Duran, J.[Joan], Sbert, C.[Catalina],
Implementation of Nonlocal Pansharpening Image Fusion,
IPOL(2014), No. 2014, pp. 1-15.
DOI Link 1404
Code, Pansharpening. See also Nonlocal Variational Model for Pansharpening Image Fusion, A. BibRef

Duran, J.[Joan], Buades, A.[Antoni], Coll, B.[Bartomeu], Sbert, C.[Catalina],
A Nonlocal Variational Model for Pansharpening Image Fusion,
SIIMS(7), No. 2, 2014, pp. 761-796.
DOI Link 1405
See also Implementation of Nonlocal Pansharpening Image Fusion. BibRef

Johnson, B.[Brian],
Effects of Pansharpening on Vegetation Indices,
IJGI(3), No. 2, 2014, pp. 507-522.
DOI Link 1405
BibRef

Aly, H.A., Sharma, G.,
A Regularized Model-Based Optimization Framework for Pan-Sharpening,
IP(23), No. 6, June 2014, pp. 2596-2608.
IEEE DOI 1406
Image sensors BibRef

Aslantas, V., Bendes, E., Kurban, R., Toprak, A.N.,
New optimised region-based multi-scale image fusion method for thermal and visible images,
IET-IPR(8), No. 5, May 2014, pp. 289-299.
DOI Link 1407
BibRef

Saeidi, V., Pradhan, B., Idrees, M.O., Latif, Z.A.[Z. Abd],
Fusion of Airborne LiDAR With Multispectral SPOT 5 Image for Enhancement of Feature Extraction Using Dempster-Shafer Theory,
GeoRS(52), No. 10, October 2014, pp. 6017-6025.
IEEE DOI 1407
Accuracy BibRef

Wang, P., Gao, F., Masek, J.G.,
Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery,
GeoRS(52), No. 11, November 2014, pp. 7353-7365.
IEEE DOI 1407
Clouds BibRef

Xu, Q., Li, B., Zhang, Y., Ding, L.,
High-Fidelity Component Substitution Pansharpening by the Fitting of Substitution Data,
GeoRS(52), No. 11, November 2014, pp. 7380-7392.
IEEE DOI 1407
Image fusion BibRef

Yang, J.H.[Jing-Hui], Zhang, J.X.[Ji-Xian], Huang, G.M.[Guo-Man],
A Parallel Computing Paradigm for Pan-Sharpening Algorithms of Remotely Sensed Images on a Multi-Core Computer,
RS(6), No. 7, 2014, pp. 6039-6063.
DOI Link 1408
BibRef

Liu, Q.J.[Qing-Jie], Wang, Y.H.[Yun-Hong], Zhang, Z.X.[Zhao-Xiang], Liu, L.[Lining],
Pan-sharpening based on weighted red black wavelets,
IET-IPR(8), No. 8, August 2014, pp. 477-488.
DOI Link 1410
BibRef
Earlier:
Pan-sharpening using weighted red-black wavelet,
ICPR12(1908-1911).
WWW Link. 1302
BibRef
Earlier: A1, A4, A2, A3:
Locally linear embedding based example learning for pan-sharpening,
ICPR12(1928-1931).
WWW Link. 1302
image fusion BibRef

Dong, W.H.[Wei-Hua], Li, X.[Xian'en], Lin, X.G.[Xiang-Guo], Li, Z.L.[Zhi-Lin],
A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images,
RS(6), No. 9, 2014, pp. 8446-8467.
DOI Link 1410
BibRef

He, X.[Xiyan], Condat, L., Bioucas-Dias, J.M., Chanussot, J., Xia, J.[Junshi],
A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors,
IP(23), No. 9, September 2014, pp. 4160-4174.
IEEE DOI 1410
geophysical image processing BibRef

Jarihani, A.A.[Abdollah A.], McVicar, T.R.[Tim R.], Van Niel, T.G.[Thomas G.], Emelyanova, I.V.[Irina V.], Callow, J.N.[John N.], Johansen, K.[Kasper],
Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of 'Index-then-Blend' and 'Blend-then-Index' Approaches,
RS(6), No. 10, 2014, pp. 9213-9238.
DOI Link 1411
BibRef

Vivone, G., Simo~es, M., Mura, M.D.[M. Dalla], Restaino, R., Bioucas-Dias, J.M., Licciardi, G.A., Chanussot, J.,
Pansharpening Based on Semiblind Deconvolution,
GeoRS(53), No. 4, April 2015, pp. 1997-2010.
IEEE DOI 1502
Gaussian processes BibRef

Vivone, G., Alparone, L., Chanussot, J., Mura, M.D.[M. Dalla], Garzelli, A., Licciardi, G.A., Restaino, R., Wald, L.,
A Critical Comparison Among Pansharpening Algorithms,
GeoRS(53), No. 5, May 2015, pp. 2565-2586.
IEEE DOI 1502
image fusion BibRef

Palsson, F., Sveinsson, J.R., Ulfarsson, M.O., Benediktsson, J.A.,
Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets,
GeoRS(53), No. 5, May 2015, pp. 2652-2663.
IEEE DOI 1502
data reduction BibRef

Kallel, A.,
MTF-Adjusted Pansharpening Approach Based on Coupled Multiresolution Decompositions,
GeoRS(53), No. 6, June 2015, pp. 3124-3145.
IEEE DOI 1503
discrete wavelet transforms BibRef

Shi, C.[Cheng], Liu, F.[Fang], Li, L.L.[Ling-Ling], Jiao, L.C.[Li-Cheng], Duan, Y.[Yiping], Wang, S.[Shuang],
Learning Interpolation via Regional Map for Pan-Sharpening,
GeoRS(53), No. 6, June 2015, pp. 3417-3431.
IEEE DOI 1503
geophysical image processing BibRef

Abdullah, S.M.U., Rehman, N.U., Khan, M.M., Mandic, D.P.,
A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening,
GeoRS(53), No. 7, July 2015, pp. 3974-3984.
IEEE DOI 1503
Context BibRef

Palubinskas, G.[Gintautas],
Joint Quality Measure for Evaluation of Pansharpening Accuracy,
RS(7), No. 7, 2015, pp. 9292.
DOI Link 1506
BibRef

Yin, H.T.[Hai-Tao], Li, S.T.[Shu-Tao],
Pansharpening With Multiscale Normalized Nonlocal Means Filter: A Two-Step Approach,
GeoRS(53), No. 10, October 2015, pp. 5734-5745.
IEEE DOI 1509
filters BibRef

Shu, Y.[Yang], Tang, H.[Hong], Li, J.[Jing], Mao, T.[Ting], He, S.[Shi], Gong, A.[Adu], Chen, Y.H.[Yun-Hao], Du, H.Y.[Hong-Yue],
Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images by Combining the HDP and IBP on Multiple Scenes,
GeoRS(53), No. 11, November 2015, pp. 6148-6162.
IEEE DOI 1509
Bayes methods BibRef

Bostater, C.[Charles],
Optimal spectral image fusion for detection of shoreline targets,
SPIE(Newsroom), November 10, 2015
DOI Link 1512
Spectral-spatial sharpening of images is achieved by numerically embedding line targets in obtained imagery, and by minimizing the differences between high-spatial-resolution and observed spectral signatures. BibRef

Veganzones, M.A., Simoes, M., Licciardi, G., Yokoya, N., Bioucas-Dias, J.M., Chanussot, J.,
Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data,
IP(25), No. 1, January 2016, pp. 274-288.
IEEE DOI 1601
BibRef
Earlier: A1, A2, A3, A5, A6, Only: ICIP14(703-707)
IEEE DOI 1502
Dictionaries BibRef

Lottering, R.[Romano], Mutanga, O.[Onisimo],
Optimising the spatial resolution of WorldView-2 pan-sharpened imagery for predicting levels of Gonipterus scutellatus defoliation in KwaZulu-Natal, South Africa,
PandRS(112), No. 1, 2016, pp. 13-22.
Elsevier DOI 1602
Gonipterus scutellatus BibRef

Li, H.[Hui], Jing, L.[Linhai], Wang, L.M.[Li-Ming], Cheng, Q.M.[Qiu-Ming],
Improved Pansharpening with Un-Mixing of Mixed MS Sub-Pixels near Boundaries between Vegetation and Non-Vegetation Objects,
RS(8), No. 2, 2016, pp. 83.
DOI Link 1603
BibRef

Palsson, F., Sveinsson, J.R., Ulfarsson, M.O., Benediktsson, J.A.,
Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis,
GeoRS(54), No. 3, March 2016, pp. 1247-1259.
IEEE DOI 1603
Indexes BibRef

Zhang, H.K.[Hankui K.], Roy, D.P.[David P.],
Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening,
RS(8), No. 3, 2016, pp. 180.
DOI Link 1604
BibRef

Yan, L.[Lin], Roy, D.P.[David P.], Zhang, H.[Hankui], Li, J.[Jian], Huang, H.[Haiyan],
An Automated Approach for Sub-Pixel Registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) Imagery,
RS(8), No. 6, 2016, pp. 520.
DOI Link 1608
BibRef

Hou, L.[Likun], Zhang, X.Q.[Xiao-Qun],
Pansharpening Image Fusion Using Cross-Channel Correlation: A Framelet-Based Approach,
JMIV(55), No. 1, May 2016, pp. 36-49.
WWW Link. 1604
BibRef

Ghahremani, M., Ghassemian, H.,
A Compressed-Sensing-Based Pan-Sharpening Method for Spectral Distortion Reduction,
GeoRS(54), No. 4, April 2016, pp. 2194-2206.
IEEE DOI 1604
Dictionaries BibRef

Liu, P., Xiao, L., Zhang, J., Naz, B.,
Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening,
GeoRS(54), No. 4, April 2016, pp. 2235-2253.
IEEE DOI 1604
Algorithm design and analysis BibRef

Zhu, X.X., Grohnfeldt, C., Bamler, R.,
Exploiting Joint Sparsity for Pansharpening: The J-SparseFI Algorithm,
GeoRS(54), No. 5, May 2016, pp. 2664-2681.
IEEE DOI 1604
compressed sensing BibRef

Restaino, R., Vivone, G., Dalla Mura, M., Chanussot, J.,
Fusion of Multispectral and Panchromatic Images Based on Morphological Operators,
IP(25), No. 6, June 2016, pp. 2882-2895.
IEEE DOI 1605
Algorithm design and analysis BibRef

Frantz, D., Stellmes, M., Röder, A., Udelhoven, T., Mader, S., Hill, J.,
Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs,
GeoRS(54), No. 7, July 2016, pp. 4153-4164.
IEEE DOI 1606
Earth BibRef

Masi, G.[Giuseppe], Cozzolino, D.[Davide], Verdoliva, L.[Luisa], Scarpa, G.[Giuseppe],
Pansharpening by Convolutional Neural Networks,
RS(8), No. 7, 2016, pp. 594.
DOI Link 1608
BibRef

Mao, T., Tang, H., Wu, J., Jiang, W., He, S., Shu, Y.,
A Generalized Metaphor of Chinese Restaurant Franchise to Fusing Both Panchromatic and Multispectral Images for Unsupervised Classification,
GeoRS(54), No. 8, August 2016, pp. 4594-4604.
IEEE DOI 1608
geophysical image processing BibRef

Lu, H.Y.[Hong-Yang], Wei, J.B.[Jing-Bo], Wang, L.[Lizhe], Liu, P.[Peng], Liu, Q.[Qiegen], Wang, Y.[Yuhao], Deng, X.H.[Xiao-Hua],
Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation,
RS(8), No. 6, 2016, pp. 499.
DOI Link 1608
BibRef

Wang, Q.M.[Qun-Ming], Shi, W.Z.[Wen-Zhong], Atkinson, P.M.[Peter M.],
Area-to-point regression kriging for pan-sharpening,
PandRS(114), No. 1, 2016, pp. 151-165.
Elsevier DOI 1604
See also Spatiotemporal Subpixel Mapping of Time-Series Images. See also Allocating Classes for Soft-Then-Hard Subpixel Mapping Algorithms in Units of Class. Downscaling BibRef

Restaino, R.[Rocco], Mura, M.D.[Mauro Dalla], Vivone, G.[Gemine], Chanussot, J.[Jocelyn],
Context-Adaptive Pansharpening Based on Image Segmentation,
GeoRS(55), No. 2, February 2017, pp. 753-766.
IEEE DOI 1702
BibRef
Earlier: A1, A3, A2, A4:
A Pansharpening Algorithm Based on Morphological Filters,
ISMM15(98-109).
Springer DOI 1506
BibRef
Earlier: A1, A3, A1, A4:
Context-Adaptive Pansharpening Based on Binary Partition Tree Segmentation,
ICIP14(3924-3928)
IEEE DOI 1502
Laplace equations. Estimation See also Binary Partition Trees-Based Robust Adaptive Hyperspectral RX Anomaly Detection. BibRef

Yang, J.[Jing], Li, Y.[Ying], Chan, J.C.W.[Jonathan Cheung-Wai], Shen, Q.A.[Qi-Ang],
Image Fusion for Spatial Enhancement of Hyperspectral Image via Pixel Group Based Non-Local Sparse Representation,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Gajbhar, S.S.[Shrishail S.], Joshi, M.V.[Manjunath V.],
Design of complex adaptive multiresolution directional filter bank and application to pansharpening,
SIViP(11), No. 2, February 2017, pp. 259-266.
WWW Link. 1702
BibRef

Zhang, K., Wang, M., Yang, S.,
Multispectral and Hyperspectral Image Fusion Based on Group Spectral Embedding and Low-Rank Factorization,
GeoRS(55), No. 3, March 2017, pp. 1363-1371.
IEEE DOI 1703
Correlation BibRef

Duran, J., Buades, A., Coll, B., Sbert, C., Blanchet, G.,
A survey of pansharpening methods with a new band-decoupled variational model,
PandRS(125), No. 1, 2017, pp. 78-105.
Elsevier DOI 1703
Remote sensing BibRef


Palubinskas, G.,
Pan-sharpening Approaches Based On Unmixing Of Multispectral Remote Sensing Imagery,
ISPRS16(B7: 693-702).
DOI Link 1610
BibRef

Vaiopoulos, A.D., Karantzalos, K.,
Pansharpening On The Narrow Vnir And Swir Spectral Bands Of Sentinel-2,
ISPRS16(B7: 723-730).
DOI Link 1610
BibRef

Agrafiotis, P., Georgopoulos, A., Karantzalos, K.,
The Effect Of Pansharpening Algorithms On The Resulting Orthoimagery,
ISPRS16(B7: 625-630).
DOI Link 1610
BibRef

Karakus, P., Karabork, H.,
Effect Of Pansharpened Image On Some Of Pixel Based And Object Based Classification Accuracy,
ISPRS16(B7: 235-239).
DOI Link 1610
BibRef

Zhang, J.X., Yang, J.H., Reinartz, P.,
The Optimized Block-regression-based Fusion Algorithm For Pansharpening Of Very High Resolution Satellite Imagery,
ISPRS16(B7: 739-746).
DOI Link 1610
BibRef

Lazaridou, M.A., Karagianni, A.C.,
Landsat 8 Multispectral And Pansharpened Imagery Processing On The Study Of Civil Engineering Issues,
ISPRS16(B8: 941-945).
DOI Link 1610
BibRef

Duran, J., Buades, A., Coll, B., Sbert, C., Blanchet, G.,
Pansharpening by a nonlocal channel-decoupled variational method,
ICIP16(4339-4343)
IEEE DOI 1610
Minimization BibRef

Karoui, M.S., Boukerch, I., Djerriri, K.,
Joint spatial variables nonnegative matrix factorization using constrained gradient method to pansharpen multispectral images,
IVMSP16(1-5)
IEEE DOI 1608
Convergence BibRef

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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion of Medical Data, Medical Image Fusion .


Last update:Apr 22, 2017 at 17:12:54