DOCUMENTS
- Peer-Reviewed Scientific Papers
- Non-Refereed Scientific Papers
- Book Chapters
- ESR/ER Publications
- Project Documentation
- Newsletter
Peer-Reviewed Scientific Papers
Project papers
Fauvel, M., J.A. Benediktsson, J. Chanussot & J.R. Sveinsson, 2008. Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IEEE Transactions on Geoscience and Remote Sensing 46(11): 3804-38014. DOI: 10.1109/TGRS.2008.922034.
Moussaoui, S., H. Hauksdottir, F. Schmidt, C. Jutten, J. Chanussot, D. Brie, S. Douté, J.A. Benediktsson, 2008. On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation. Neurocomputing 71: 2194-2208. doi:10.1016/j.neucom.2007.07.034.
Fauvel, M., J. Chanussot & J.A. Benediktsson, 2008. Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. IEEE ICIP'08 - International Conference on Image Processing, October 2008, San Diego, USA.
Benediktsson, J.A., J. Chanussot & M. Fauvel, 2007. Multiple classifiers in remote sensing: from basics to recent developments. MCS'07 - 7th International Workshop on Multiple Classifier Systems, pp 501-512, May 2007, Prague, Czech Republic.
Tarabalka, Y., T. V. Haavardsholm, I. Kåsen, and T. Skauli, 2008. Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing. Journal of Real-Time Image Processing, 2008, pp. 1-14. DOI 10.1007/s11554-008-0105-x.
Plaza, A, 2008. Parallel Processing of Remotely Sensed Hyperspectral Imagery: Full-pixel versus Mixed-pixel Classification. Concurrency and Computation: Practice & Experience, vol. 20, no. 13, pp. 1539-1572.
Plaza, A, 2008. Parallel Techniques for Information Extraction from Hyperspectral Imagery Using Heterogeneous Networks of Workstations. Journal of Parallel and Distributed Computing, vol. 68, pp. 93-111.
M. Zortea and A. Plaza, Spatial preprocessing for endmember extraction. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2009.
Related papers
Clevers, J.G.P.W., Heijden, G.W.A.M. van der, Verzakov, S., & Schaepman, M.E., 2007. Estimating grassland biomass using SVM band shaving of hyperspectral data. Photogrammetric Engineering and Remote Sensing 73(10): 1141-1148.
Schaepman, M.E., Wamelink, G.W.W., van Dobben, H., Gloor, M., Schaepman-Strub, G., Kooistra, L., Clevers, J.G.P.W., Schmidt, A., & Berendse, F., 2007. River floodplain vegetation scenario development using imaging spectroscopy derived products as input variables in a dynamic vegetation model. Photogrammetric Engineering and Remote Sensing 73(10): 1179-1188.
Clevers, J.G.P.W., L. Kooistra & M.E. Schaepman, 2008. Using spectral information from the NIR water absorption features for the retrieval of canopy water content. International Journal of Applied Earth Observations and Geoinformation 10: 388-397.
Itten K.I., F. DellEndice, A. Hueni, M. Kneubühler, D. Schläpfer, D. Odermatt, F. Seidel, S. Huber, J. Schopfer, T. Kellenberger, Y. Bühler, P. D'Odorico, J. Nieke, E. Alberti, K. Meuleman, 2008. APEX - the Hyperspectral ESA Airborne Prism Experiment. Sensors: 8: 6235-6259.
Spinetti, C., Carrère, V., Buongiorno, M. F., Sutton, A. J. & Elias, T., 2008. Carbon dioxide of Pu`u`O`o volcanic plume at Kilauea retrieved by AVIRIS hyperspectral data. Remote Sensing of Environment 112: 3192-3199.
Hueni, A., Biesemans, J., Meuleman, K., Dell'Endice, F., Schläpfer, D., Adriaensen, S., Kempenaers, S., Odermatt, D., Kneubuehler, M., Nieke, J. & Itten, K., 2009. Structure, components, and interfaces of the APEX processing and archiving facility. IEEE Transactions on Geoscience and Remote Sensing 47(1): 29-43.
Plaza, A., J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, J.A. Gualtieri, M. Marconcini, J. C. Tilton and G. Trianni, 2009. Recent Advances in Techniques for Hyperspectral Image Processing. Remote Sensing of Environment, accepted for publication.
Plaza, A., D. Valencia and J. Plaza, 2008. An Experimental Comparison of Parallel Algorithms for Hyperspectral Analysis Using Homogeneous and Heterogeneous Networks of Workstations. Parallel Computing, vol. 34, no. 2, pp. 92-114.
Plaza, A., R. Perez, A. Plaza, P. Martinez and D. Valencia, 2008. Parallel Morphological/Neural Processing of Hyperspectral Images Using Heterogeneous and Homogeneous Platforms. Cluster Computing, vol. 11, no. 1, pp. 17-32.
Plaza, J., A. Plaza and C. Barra, 2009. Multi-Channel Morphological Profiles for Classification of Hyperspectral Image Data Using Support Vector Machines. Sensors, vol. 9, no. 1, pp. 196-218.
Bartholomeus, H.M., Schaepman, M.E., Kooistra, L., Stevens, A., Hoogmoed, W.B. & Spaargaren, O.C., 2008 Spectral reflectance based indices for soil organic carbon quantification Geoderma, 145(1-2), 28-36.
Schaepman-Strub, G., Limpens, J., Menken, M., Bartholomeus, H.M. & Schaepman, M.E., 2008 Towards spatial assessment of carbon sequestration in peatlands: spectroscopy based estimation of fractional cover of three plant functional types.
Biogeosciences Discussions, 5, 1293-1317.
Zurita-Milla, R., Clevers, J.G.P.W. & Schaepman, M.E., 2008 Unmixing-based Landsat TM and MERIS FR data fusion IEEE Geoscience and Remote Sensing Letters, 5(3), 453 – 457.
Kooistra, L., Wamelink, G.W.W., Schaepman-Strub, G., Schaepman, M.E., Dobben, H.F. van, Aduaka, U. & Batelaan, O., 2008 Assessing and predicting biodiversity in a floodplain ecosystem: Assimilation of net primary production derived from imaging spectrometer data into a dynamic vegetation model.
Remote Sensing of Environment, 112(5), 2118-2130.
Verrelst, J., Schaepman, M.E., Kötz, B. & Kneubühler, M., 2008 Angular sensitivity of vegetation indices derived from CHRIS/PROBA data Remote Sensing of Environment, 112(5), 2341-2353.
Zurita Milla, R., Kaiser, G., Clevers, J.G.P.W., Schneider, W. & Schaepman, M.E., 2009 Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics Remote Sensing of Environment 113(9): 1874-1885.
Schaepman-Strub, G., Limpens, J., Menken, M., Bartholomeus, H.M. & Schaepman, M.E., 2009 Towards spatial assessment of carbon sequestration in peatlands: spectroscopy based estimation of fractional cover of three plant functional types.
Biogeosciences, 6, 275-284.
Milton, E.J., Schaepman, M.E., Anderson, K., Kneubühler, M. & Fox, N., 2009 Progress in field spectroscopy Remote Sensing of Environment, 113(Suppl.1), S92-S109.
Schaepman, M.E., Ustin, S.L., Plaza, A.J., Painter, T.H., Verrelst, J. & Liang, S., 2009 Earth system science related imaging spectroscopy - An assessment Remote Sensing of Environment, 113(Suppl.1), S123-S137.
Ustin, S.L., Gitelson, A.A., Jacquemoud, S., Schaepman, M.E., Asner, G.P., Gamon, J.A. & Zarco-Tejada, P., 2009 Retrieval of foliar information about plant pigment systems from high resolution spectroscopy Remote Sensing of Environment, 113(Suppl.1), S67-S77.
Project papers
Fauvel, M., J.A. Benediktsson, J. Chanussot & J.R. Sveinsson, 2008. Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IEEE Transactions on Geoscience and Remote Sensing 46(11): 3804-38014. DOI: 10.1109/TGRS.2008.922034.
Moussaoui, S., H. Hauksdottir, F. Schmidt, C. Jutten, J. Chanussot, D. Brie, S. Douté, J.A. Benediktsson, 2008. On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation. Neurocomputing 71: 2194-2208. doi:10.1016/j.neucom.2007.07.034.
Fauvel, M., J. Chanussot & J.A. Benediktsson, 2008. Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. IEEE ICIP'08 - International Conference on Image Processing, October 2008, San Diego, USA.
Benediktsson, J.A., J. Chanussot & M. Fauvel, 2007. Multiple classifiers in remote sensing: from basics to recent developments. MCS'07 - 7th International Workshop on Multiple Classifier Systems, pp 501-512, May 2007, Prague, Czech Republic.
Tarabalka, Y., T. V. Haavardsholm, I. Kåsen, and T. Skauli, 2008. Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing. Journal of Real-Time Image Processing, 2008, pp. 1-14. DOI 10.1007/s11554-008-0105-x.
Plaza, A, 2008. Parallel Processing of Remotely Sensed Hyperspectral Imagery: Full-pixel versus Mixed-pixel Classification. Concurrency and Computation: Practice & Experience, vol. 20, no. 13, pp. 1539-1572.
Plaza, A, 2008. Parallel Techniques for Information Extraction from Hyperspectral Imagery Using Heterogeneous Networks of Workstations. Journal of Parallel and Distributed Computing, vol. 68, pp. 93-111.
M. Zortea and A. Plaza, Spatial preprocessing for endmember extraction. IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, 2009.
Related papers
Clevers, J.G.P.W., Heijden, G.W.A.M. van der, Verzakov, S., & Schaepman, M.E., 2007. Estimating grassland biomass using SVM band shaving of hyperspectral data. Photogrammetric Engineering and Remote Sensing 73(10): 1141-1148.
Schaepman, M.E., Wamelink, G.W.W., van Dobben, H., Gloor, M., Schaepman-Strub, G., Kooistra, L., Clevers, J.G.P.W., Schmidt, A., & Berendse, F., 2007. River floodplain vegetation scenario development using imaging spectroscopy derived products as input variables in a dynamic vegetation model. Photogrammetric Engineering and Remote Sensing 73(10): 1179-1188.
Clevers, J.G.P.W., L. Kooistra & M.E. Schaepman, 2008. Using spectral information from the NIR water absorption features for the retrieval of canopy water content. International Journal of Applied Earth Observations and Geoinformation 10: 388-397.
Itten K.I., F. DellEndice, A. Hueni, M. Kneubühler, D. Schläpfer, D. Odermatt, F. Seidel, S. Huber, J. Schopfer, T. Kellenberger, Y. Bühler, P. D'Odorico, J. Nieke, E. Alberti, K. Meuleman, 2008. APEX - the Hyperspectral ESA Airborne Prism Experiment. Sensors: 8: 6235-6259.
Spinetti, C., Carrère, V., Buongiorno, M. F., Sutton, A. J. & Elias, T., 2008. Carbon dioxide of Pu`u`O`o volcanic plume at Kilauea retrieved by AVIRIS hyperspectral data. Remote Sensing of Environment 112: 3192-3199.
Hueni, A., Biesemans, J., Meuleman, K., Dell'Endice, F., Schläpfer, D., Adriaensen, S., Kempenaers, S., Odermatt, D., Kneubuehler, M., Nieke, J. & Itten, K., 2009. Structure, components, and interfaces of the APEX processing and archiving facility. IEEE Transactions on Geoscience and Remote Sensing 47(1): 29-43.
Plaza, A., J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, J.A. Gualtieri, M. Marconcini, J. C. Tilton and G. Trianni, 2009. Recent Advances in Techniques for Hyperspectral Image Processing. Remote Sensing of Environment, accepted for publication.
Plaza, A., D. Valencia and J. Plaza, 2008. An Experimental Comparison of Parallel Algorithms for Hyperspectral Analysis Using Homogeneous and Heterogeneous Networks of Workstations. Parallel Computing, vol. 34, no. 2, pp. 92-114.
Plaza, A., R. Perez, A. Plaza, P. Martinez and D. Valencia, 2008. Parallel Morphological/Neural Processing of Hyperspectral Images Using Heterogeneous and Homogeneous Platforms. Cluster Computing, vol. 11, no. 1, pp. 17-32.
Plaza, J., A. Plaza and C. Barra, 2009. Multi-Channel Morphological Profiles for Classification of Hyperspectral Image Data Using Support Vector Machines. Sensors, vol. 9, no. 1, pp. 196-218.
Bartholomeus, H.M., Schaepman, M.E., Kooistra, L., Stevens, A., Hoogmoed, W.B. & Spaargaren, O.C., 2008 Spectral reflectance based indices for soil organic carbon quantification Geoderma, 145(1-2), 28-36.
Schaepman-Strub, G., Limpens, J., Menken, M., Bartholomeus, H.M. & Schaepman, M.E., 2008 Towards spatial assessment of carbon sequestration in peatlands: spectroscopy based estimation of fractional cover of three plant functional types.
Biogeosciences Discussions, 5, 1293-1317.
Zurita-Milla, R., Clevers, J.G.P.W. & Schaepman, M.E., 2008 Unmixing-based Landsat TM and MERIS FR data fusion IEEE Geoscience and Remote Sensing Letters, 5(3), 453 – 457.
Kooistra, L., Wamelink, G.W.W., Schaepman-Strub, G., Schaepman, M.E., Dobben, H.F. van, Aduaka, U. & Batelaan, O., 2008 Assessing and predicting biodiversity in a floodplain ecosystem: Assimilation of net primary production derived from imaging spectrometer data into a dynamic vegetation model.
Remote Sensing of Environment, 112(5), 2118-2130.
Verrelst, J., Schaepman, M.E., Kötz, B. & Kneubühler, M., 2008 Angular sensitivity of vegetation indices derived from CHRIS/PROBA data Remote Sensing of Environment, 112(5), 2341-2353.
Zurita Milla, R., Kaiser, G., Clevers, J.G.P.W., Schneider, W. & Schaepman, M.E., 2009 Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics Remote Sensing of Environment 113(9): 1874-1885.
Schaepman-Strub, G., Limpens, J., Menken, M., Bartholomeus, H.M. & Schaepman, M.E., 2009 Towards spatial assessment of carbon sequestration in peatlands: spectroscopy based estimation of fractional cover of three plant functional types.
Biogeosciences, 6, 275-284.
Milton, E.J., Schaepman, M.E., Anderson, K., Kneubühler, M. & Fox, N., 2009 Progress in field spectroscopy Remote Sensing of Environment, 113(Suppl.1), S92-S109.
Schaepman, M.E., Ustin, S.L., Plaza, A.J., Painter, T.H., Verrelst, J. & Liang, S., 2009 Earth system science related imaging spectroscopy - An assessment Remote Sensing of Environment, 113(Suppl.1), S123-S137.
Ustin, S.L., Gitelson, A.A., Jacquemoud, S., Schaepman, M.E., Asner, G.P., Gamon, J.A. & Zarco-Tejada, P., 2009 Retrieval of foliar information about plant pigment systems from high resolution spectroscopy Remote Sensing of Environment, 113(Suppl.1), S67-S77.