Journal Papers

2015

56 – Efficient storage of microCT data preserving bone morphometry assessment
Joan Bartrina-Rapesta, Francesc Auli-Llinas, Ian Blanes, Michael W. Marcellin, Victor Sanchez, and Joan Serra-Sagristà
Elsevier Computers & Electrical Engineering. ISSN: 0045-7906. Accepted, May 2015, COMPELECENG-D-14-01385.

55 – Cell-based 2-Step Scalar Deadzone Quantization for High Bit-Depth Hyperspectral Image Coding
Joan Bartrina-Rapesta, Francesc Auli-Llinas
IEEE Geoscience and Remote Sensing Letters, Accepted, May 2015
Digital Object Identifier 10.1109/LGRS.2015.2436438

54 – A Fully­‐Embedded Two­‐Stage Coder for Hyperspectral Near‐lossless Compression
Jente Beerten, Ian Blanes, Joan Serra‐Sagristà
IEEE Geoscience and Remote Sensing Letters, vol. 12, In Press. 2015. ISSN:1545-­598X. Digital Object Identifier 10.1109/LGRS.2015.2425548.

53 – A Methodology for Visually Lossless JPEG2000 Compression of Monochrome Stereo Images
Hsin-Chang Feng, Michael W. Marcellin, and Ali Bilgin
IEEE Transactions on Image Processing, vol. 24, no. 2, pp. 560‐572, Feb. 2015. Digital Object Identifier 10.1109/TIP.2014. 2384273.

52 – On the Hardware Complexity of the Arithmetic elements of the Pairwise Orthogonal Transform
Lucana Santos, Ian Blanes, Aday Garcia, Joan Serra-Sagristà, Jose Lopez, Roberto Sarmiento
SPIE Journal on Applied Remote Sensing, Accepted, April 2015

51 – Proceedings of the IEEE Data Compression Conference
Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagristà, James A. Storer (editors),
April 2015, Hardcover.

50 – Proposal for IASI onboard data compression
Joaquin Garcia-­Sobrino, Ian Blanes, Mathieu Albinet, Roberto Camarero, Joan Serra-­Sagristà
SPIE Journal on Applied Remote Sensing, Accepted, April 2015.

49 – Hybrid Compression of Hyperspectral Images Based on PCA with Pre-­encoding Discriminant Information
Chulhee Lee, Sungwook Youn, Taeuk Jeong, Eunjae Lee,  and Joan Serra-Sagristà      IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7, pp.1-­5, 2015. ISSN: 1545‐598X. Digital Object Identifier 10.1109/LGRS.2015.2409897

48 – Implementation of the DWT in a GPU through a register-based strategy
P. Enfedaque, F. Auli-Llinas, and J.C. Moure
IEEE Trans. Parallel Distrib. Syst., 2015, in Press. Digital Object Identifier 10.1109/TPDS.2014.2384047. [IF: 2.173]

47 – Isorange Pairwise Orthogonal Transform
I. Blanes, M. Hernandez-Cabronero, F. Auli-Llinas, J. Serra-Sagrista, and M.W. Marcellin
IEEE Trans. Geoscience and Remote Sensing, vol.53, no.6, pp.3361,3372, June 2015. Digital Object Identifier 10.1109/TGRS.2014.2374473. [IF: 3.467]

46 – Entropy-based evaluation of context models for wavelet-transformed images
F. Auli-Llinas
IEEE Trans. Image Process., vol. 24, no. 1, pp. 57-67, Jan. 2015. Digital Object Identifier 10.1109/TIP.2014.2370937. [IF: 3.199]

45 – Multimodal Classification of Remote Sensing Images: A Review and Future Directions.
L. GómezChova, D. Tuia, Gabriele Moser, and Gustau Camps-Valls,
Proceedings of the IEEE (invited paper), 2015.

44 – Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis.
M. Volpi, G. Camps-Valls, D. Tuia,
Spectral alignment of multi-temporal cross sensor images with automated kernel canonical correlation analysis, ISPRS Journal of Photogrammetry and Remote Sensing, Mar 2015, ISSN 0924-2716, http://dx.doi.org/10.1016/j.isprsjprs.2015.02.005.

43 – Dimensionality Reduction via Regression in Hyperspectral Imagery.
V. Laparra, J. Malo, and G. Camps-Valls.
IEEE Journal of Selected Topics in Signal Processing, Vol. 9, Num. 9. September 2015.

42 – Spectral Clustering with the Probabilistic Cluster Kernel.
E. Izquierdo-Verdiguier, R. Jenssen, L. Gómez-Chova, G. Camps-Valls,
Neurocomputing, Volume 149, Part C, 3 February 2015, Pages 1299-1304, ISSN 0925-2312, http://dx.doi.org/10.1016/j.neucom.2014.08.068.

41 – Kernels for remote sensing image classification.
E. Izquierdo-Verdiguier, L. Gómez-Chova and G. Camps-Valls.
Wiley Encyclopedia of Electrical and Electronics Engineering, 2015.

 

2014

40 – A Tutorial on Image Compression for Optical Space Imaging Systems
Ian Blanes, Enrico Magli, Joan Serra-Sagristà
IEEE Geoscience and Remote Sensing Magazine. Volume 2, Issue 3, September 2014. ISSN: 2168-6831. Digital Object Identifier 10.1109/MGRS.2014.2352465.

39 – Stationary probability model for microscopic parallelism in JPEG2000
F. Auli-Llinas and M.W. Marcellin
IEEE Trans. Multimedia, vol. 16, no. 4, pp. 960-970, June 2014. Digital Object Identifier 10.1109/TMM.2014.2307553. [IF: 1.754]

38 – Proc. IEEE Data Compression Conference
Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagristà, James A. Storer (editors)
March 2014, 443 pages; Hardcover. ISBN 978-1-4799-3882-7. ISSN 1068-0314.

37 – Compression of DNA Microarray Images
Miguel Hernández-Cabronero, Michael W. Marcellin, Joan Serra-Sagristà
in Book “Microarray Image and Data Analysis: Theory and Practice”, CRC Press, pp 193-222, 2014.

36 – Visually lossless strategies to decode and transmit JPEG2000 imagery
L. Jimenez-Rodriguez, F. Auli-Llinas, and M.W. Marcellin
IEEE Signal Process. Lett., vol. 21, no. 1, pp. 35-38, Jan. 2014. Digital Object Identifier 10.1109/LSP.2013.2290317. [IF: 1.639]

35 – The role of spatial information in disentangling the irradiance-reflectance-transmittance ambiguity.
S. Jiménez and J. Malo.
IEEE Trans. Geosci. Rem. Sens, Vol. 52, No. 8, 4881-4894, 2014.

34 – Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images.
Gutmann MU, Laparra V, Hyvärinen A, Malo
J, PLOS ONE 9(2), e86481, 2014.

33 – Principal Polynomial Analysis.
V. Laparra, S. Jimenez, D. Tuia, G. Camps-Valls and J. Malo,
International Journal of Neural Systems, 24, 1440007 (2014) 2014

32 – A Unified SVM Framework for Signal Estimation.
J.L. Rojo-Álvarez, M. Martínez-Ramón, J. Muñoz-Marí, and G. Camps-Valls,
Digital Signal Processing, Volume 26, March 2014, Pages 1–20, 2014.

31 – Support Vector Machines in Engineering: An Overview.
Sancho Salcedo-Sanz, J. L. Rojo-Álvarez, M. Martínez-Ramón, G. Camps-Valls,
WIREs Data Mining and Knowledge Discovery, 4: 234-267.
doi: 10.1002/widm.1125, 2014.

30 – Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces.
D. Tuia, J. MuñozMarí, J. L. Rojo-Álvarez, M. Martínez-Ramón and G. Camps-Valls,
IEEE Transactions on Neural Networks and Learning Systems, 2014. 10.1109/TNNLS.2013.2293871.

29 – Bayesian Active Remote Sensing Image Classification.
Ruiz, P.; Mateos, J.; Camps-Valls, G.; Molina, R.; Katsaggelos, A.K.,
IEEE Transactions on Geoscience and Remote Sensing, vol. 52,
no.4, 2186-2196, April 2014.

28 – Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods.
G. Camps-Valls, D. Tuia, Lorenzo Bruzzone, and Jon Atli Benediktsson,
IEEE Signal Processing Magazine, 31(1), 45-54, 2014.

27 – Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis.
E. IzquierdoVerdiguier, L. Gómez-Chova, L. Bruzzone and G. Camps-Valls,
IEEE Transactions on Geoscience and Remote Sensing, 2014. DOI: 10.1109/TGRS.2013.2290372.

26 – Semisupervised Manifold Alignment of Multimodal Remote Sensing Images.
D. Tuia, M. Volpi, M. Trolliet, and G. Camps-Valls,
IEEE Transactions on Geoscience and Remote Sensing, 52(12), 7708-7720, Dec. 2014

25 – Retrieval of Biophysical Parameters with Heteroscedastic Gaussian Processes.
M. Lázaro-Gredilla, M. Titsias, J. Verrelst and G. Camps-Valls,
IEEE Geoscience and Remote Sensing Letters, 11(4), 838-842, 2014.

24 – Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters.
J. P. Rivera, J. Verrelst, J. Muñoz-Marí, J. Moreno, and G. Camps-Valls,
IEEE Journal of Selected Topics in Applied Observations and Remote Sensing, 2014. 10.1109/JSTARS.2014.2298752 .

23 – Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence.
L. Guanter, Yongguang Zhang, Martin Jung, Joanna Joiner, Maximilian Voigt, J. ph A. Berry, Christian Frankenberg, Alfredo Huete, Pablo Zarco-Tejada, Jung-Eun Lee, M. Susan Moran, Guillermo Ponce-Campos, Christian Beer, G. Camps-Valls, Nina Buchmann, Damiano Gianelle, Katja Klumpp, Alessandro Cescatti, John M. Baker, and Timothy J. Griffis. Proceedings of the National Academy of Sciences, PNAS, 2014, http://www.pnas.org/content/111/14/E1327.abstract

22 – Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland
gross primary production.

L. Guanter, Yongguang Zhang, Martin Jung, Joanna Joiner, Maximilian, Voigt, J. ph A. Berry, Christian Frankenberg, Alfredo Huete, Pablo Zarco-Tejada, Jung-Eun Lee, M. Susan Moran, Guillermo Ponce-Campos, Christian Beer, G. Camps-Valls, Nina Buchmann, Damiano Gianelle, Katja Klumpp, Alessandro Cescatti, John M. Baker, and Timothy J. Griffis.
Proceedings of the National Academy of Sciences, PNAS, 111, 25, p. E2511,
http://www.pnas.org/content/111/25/E2511.full

21 – Prediction of Daily Global Solar Irradiation using Temporal Gaussian Processes.
S. Salcedo-Sanz, C. Casanova-Mateo, J. Muñoz-Marí, G. Camps-Valls.
IEEE Geoscience and Remote Sensing Letters, 11(11), 1936-1940, Nov. 2014

20 – Optimization of ultra-fast interactions using laser pulse temporal shaping controlled by a
deterministic algorithm.

Galvan-Sosa, M.; Portilla, J.; Hernandez-Rueda, J.; Siegel, J.; Moreno, L.; Ruiz De La Cruz, A.; Solis, J.;
Applied Physics A, ISSN:0947-8396, Springer, 2014.

19 – Multiple One-Dimensional Search (MODS) algorithm for fast optimization of laser–matter
interaction by phase-only fs-laser pulse shaping.

M Galvan-Sosa, J Portilla, J Hernandez-Rueda, J Siegel, L Moreno, J Solis.
Applied Physics B 116 (3), 747-753 .

18 – Wavefront reconstruction from tangential and sagittal curvature.
Canales J, Barbero S, Portilla J, López-Alonso JM.
Appl Opt. 2014 Dec 10;53(35):8268-75. doi: 10.1364/AO.53.008268.

 

2013

17 – Proc. IEEE Data Compression Conference
Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagristà, James A. Storer (editors),
March 2013, 540 pages; Hardcover. ISBN 978-0-7695-4965-1. ISSN 1068-0314.

16 – Performance impact of parameter tuning on the CCSDS-123 lossless multi- and hyperspectral image compression standard
E. Augé, J.E. Sánchez, A. Kiely, I. Blanes, and J. Serra-Sagristà
J. Appl. Remote Sens. 7(1), 074594 (Aug 26, 2013). Digital Object Identifier 10.1117/1.JRS.7.074594. [IF:0.892]

15 – 2-step scalar deadzone quantization for bitplane image coding
F. Auli-Llinas
IEEE Transactions on Image Processing, 2013. Digital Object Identifier 10.1109/TIP.2013.2277801[IF: 3.199]

14 – Correlation Modeling for Compression of Computed Tomography Images
Juan Muñoz-Gómez, Joan Bartrina-Rapesta, Michael W. Marcellin, and Joan Serra-Sagristà
IEEE Journal of Biomedical and Health Informatics, May 2013. Digital Object Identifier 10.1109/JBHI.2013.2264595

13 – Lossy-to-Lossless 3D Image Coding through Prior Coefficient Lookup Tables
Francesc Auli-Llinas, Michael W. Marcellin, Joan Serra-Sagrista, Joan Bartrina-Rapesta
ELSEVIER Information Sciences, vol. 239, no. 1, pp. 266-282, Aug. 2013. [IF: 3.643]

12 – JPIP Proxy Server with Prefetching Strategies Based on User-Navigation Model and Semantic Map
Jose Lino Monteagudo-Pereira, Francesc Auli-Llinas, Joan Serra-Sagrista
IEEE Transactions on Multimedia, 2013. Digital Object Identifier 10.1109/TMM.2013.2264655 [IF: 1.754]

11 – General embedded quantization for wavelet-based lossy image coding
Francesc Auli-Llinas
IEEE Trans. Signal Process, vol. 61, no. 6, pp. 1561–1574, Mar. 2013. Digital Object Identifier 10.1109/TSP.2012.2236323 [IF: 2.813]

10 – FAST rate allocation for JPEG2000 video transmission over time-varying channels
L. Jimenez-Rodriguez, F. Auli-Llinas, and M.W. Marcellin
IEEE Trans. Multimedia, vol. 15, Issue 1, pp. 15-26, Jan 2013. [IF: 1.754] Digital Object Identifier 10.1109/TMM.2012.2199973

9 – Advanced statistical tools for enhanced quality digital imaging with realistic capture models
Aleksandra Pižurica, Javier Portilla, Keigo Hirakawa, Karen Egiazarian
EURASIP, Journal on Advances in Signal Processing, 2013. [IF: 0.807]

8 – The role of spatial information in disentangling the irradiance-reflectance-transmittance ambiguity
S. Jimenez and J. Malo
IEEE Tr. Geoscience Remote Sensing, 2013. [IF: 3.467]

7 – Kernel Multivariate Analysis Framework for Supervised Subspace Learning
J. Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, and Lars Kai Hansen
IEEE Signal Processing Magazine, July, 1-14, 2013. [IF: 3.368]

6 – Multitask Remote Sensing Data Classification
J. M. Leiva-Murillo, Luis Gómez-Chova, and Gustavo Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing, 51(1), pp. 151-161, 2013. [IF: 3.467]

5 – Multitemporal Fusion of Landsat/TM and ENVISAT/MERIS for Crop Monitoring
J. Amorós-López, L. Gómez-Chova, L. Alonso, L. Guanter, R. Zurita-Milla, J. Moreno, and Gustavo Camps-Valls
International Journal of Applied Earth Observation and Geoinformation, Volume 23, August 2013, 132-141, 2013. [IF: 2.176]

4 – Encoding Invariances in Remote Sensing Image Classification with SVM
E. Izquierdo-Verdiguier, V. Laparra, L. Gómez-Chova, and G. Camps-Valls
IEEE Geoscience and Remote Sensing Letters, 1-5, 2013. [IF: 1.823]

3 – Spectro-Temporal Reflectance Surfaces: a new conceptual framework for the integration of remote sensing data from multiple different sensors
Guillermo Villa, Jose Moreno, Alfonso Calera, Gustavo Camps-Valls, Emilio Domenech, Jesus Garrido, Francisco Gonzalez-Matesanz, Luis Gomez-Chova, Jose Martinez, Sergio Molina, Juan Peces, Nuria Plaza, Ana Porcuna, Jose Tejeiro, Nuria Valcarcel
International Journal of Remote Sensing, Volume 34 Issue 9-10, May, 2013. [IF: 1.138]

2 – Bayesian Active Remote Sensing Image Classification
P. Ruiz-Matarán, J. Mateos, G. Camps-Valls, Rafael Molina, and Aggelos K. Katsaggelos
IEEE Transactions on Geoscience and Remote Sensing, 2013. [IF: 3.467]

1 – Hyperspectral Remote Sensing Data Analysis and Future Challenges
José M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser Nasrabadi, and Jocelyn Chanussot
IEEE Geoscience and Remote Sensing Magazine, Vol 1, Issue 2, p. 6-36, 2013.

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