Toutin, T.,
SPOT and Landsat Stereo Fusion for Data Extraction over
Mountainous Areas,
PhEngRS(64), No. 2, February 1998, pp. 109-113.
9803
BibRef
Nunez, J.[Jorge],
Otazu, X.[Xavier],
Fors, O.[Octavi],
Prades, A.[Albert],
Pala, V.[Vicenc],
Arbiol, R.[Roman],
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
Gao, F.,
Masek, J.,
Schwaller, M.,
Hall, F.,
On the Blending of the Landsat and MODIS Surface Reflectance:
Predicting Daily Landsat Surface Reflectance,
GeoRS(44), No. 8, August 2006, pp. 2207-2218.
IEEE DOI
0608
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.
Elsevier DOI
0609
Wavelet Transforms; Image classification; Clustering methods
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
Pardo-Pascual, J.E.,
Almonacid-Caballer, J.,
Ruiz, L.A.,
Palomar-Vázquez, J.,
Automatic extraction of shorelines from
Landsat TM and ETM multi-temporal images with subpixel precision,
RSE(123), August 2012, pp. 1-11.
Elsevier DOI
1204
BibRef
Huang, B.[Bo],
Song, H.H.[Hui-Hui],
Spatiotemporal Reflectance Fusion via Sparse Representation,
GeoRS(50), No. 10, October 2012, pp. 3707-3716.
IEEE DOI
1210
BibRef
Song, H.H.[Hui-Hui],
Huang, B.[Bo],
Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning,
GeoRS(51), No. 4, April 2013, pp. 1883-1896.
IEEE DOI
1304
BibRef
Song, H.H.[Hui-Hui],
Huang, B.[Bo],
Liu, Q.S.[Qing-Shan],
Zhang, K.[Kaihua],
Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion
With SPOT5 Images via Learning-Based Super-Resolution,
GeoRS(53), No. 3, March 2015, pp. 1195-1204.
IEEE DOI
1402
geophysical image processing
BibRef
Zhang, W.[Wei],
Li, A.N.[Ai-Nong],
Jin, H.[Huaan],
Bian, J.H.[Jin-Hu],
Zhang, Z.J.[Zheng-Jian],
Lei, G.B.[Guang-Bin],
Qin, Z.H.[Zhi-Hao],
Huang, C.Q.[Cheng-Quan],
An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat
and MODIS Surface Reflectance to Generate High Temporal Landsat-Like
Data,
RS(5), No. 10, 2013, pp. 5346-5368.
DOI Link
1311
BibRef
Tuia, D.[Devis],
Volpi, M.[Michele],
Trolliet, M.,
Camps-Valls, G.[Gustau],
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images,
GeoRS(52), No. 12, December 2014, pp. 7708-7720.
IEEE DOI
1410
deformation
BibRef
Tuia, D.[Devis],
Volpi, M.[Michele],
Camps-Valls, G.[Gustau],
Unsupervised Alignment of Image Manifolds with Centrality Measures,
ICPR14(912-917)
IEEE DOI
1412
Laplace equations
BibRef
Amoros-Lopez, J.,
Gomez-Chova, L.,
Guanter, L.,
Alonso, L.,
Moreno, J.,
Camps-Valls, G.,
Multitemporal fusion of Landsat and MERIS images,
MultiTemp11(81-84).
IEEE DOI
1109
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,
GeoRS(55), No. 7, July 2017, pp. 3885-3899.
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
Guan, X.,
Liu, G.,
Huang, C.,
Liu, Q.,
Wu, C.,
Jin, Y.,
Li, Y.,
An Object-Based Linear Weight Assignment Fusion Scheme to Improve
Classification Accuracy Using Landsat and MODIS Data at the Decision
Level,
GeoRS(55), No. 12, December 2017, pp. 6989-7002.
IEEE DOI
1712
Data mining, Earth, MODIS, Remote sensing, Satellites,
Spatial resolution, Decision fusion, fuzzy sets,
time-series analysis
BibRef
Wei, J.,
Wang, L.,
Liu, P.,
Chen, X.,
Li, W.,
Zomaya, A.Y.,
Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via
Compressed Sensing,
GeoRS(55), No. 12, December 2017, pp. 7126-7139.
IEEE DOI
1712
Compressed sensing, Earth, Remote sensing, Satellites,
Spatial resolution, Spatiotemporal phenomena, Compressed sensing,
spatiotemporal fusion
BibRef
Stumpf, A.[André],
Michéa, D.[David],
Malet, J.P.[Jean-Philippe],
Improved Co-Registration of Sentinel-2 and Landsat-8 Imagery for
Earth Surface Motion Measurements,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Kwan, C.[Chiman],
Budavari, B.[Bence],
Gao, F.[Feng],
Zhu, X.L.[Xiao-Lin],
A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images
for Forward Prediction,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Agapiou, A.[Athos],
Evaluation of Landsat 8 OLI/TIRS Level-2 and Sentinel 2 Level-1C
Fusion Techniques Intended for Image Segmentation of Archaeological
Landscapes and Proxies,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Barazzetti, L.[Luigi],
Scaioni, M.[Marco],
Gianinetto, M.,
One-to-Many Registration of Landsat Imagery,
SSG13(37-42).
DOI Link
1402
BibRef
Abileah, R.[Ron],
Vignudelli, S.[Stefano],
Bathymetry from fusion of multi-temporal Landsat and radar altimetery,
MultiTemp11(189-192).
IEEE DOI
1109
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Pansharpening, Fusion of Aerial Images .