Papers 
  • new! VOLPI, M., TUIA, D. (2017), Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. IEEE Trans. Geosci. Remote Sens., 55(2): 881-893 (preprint, code).
  • TUIA, D., MARCOS, D., CAMPS-VALLS, G. (2016), Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. ISPRS J. Int. Soc. Photo. Remote Sens., 120:1-12 (pdf - preperint, code).  
  • COURTY, N., FLAMARY, R., TUIA, D., RAKOTOMAMONJY, A. (in press). Optimal transport for domain adaptation, IEEE Trans. Pattern Anal. Mach. Intell. (pdf - preprint, code)
  • TUIA, D., CAMPS-VALLS, G. (2016). Kernel manifold alignment for domain adaptation. PLoS One, 11(2): e0148655 (pdf open access, code)
  • TUIA, D., PERSELLO, C., BRUZZONE, L. (2016). Recent advances in domain adaptation for the classification of remote sensing data. IEEE Geosci. Remote Sens. Mag., 4(2): 41-57 (pdf - preprint).
  • TUIA, D., FLAMARY, R., BARLAUD, M. (2016). Non-convex regularization in remote sensing. IEEE Trans. Geosci. Remote Sens. 54(11): 6470-6480 (pdf - preprint; code)
  • CAMPOS-TABERNER, M., ROMERO-SORIANO, A., GATTA, C., CAMPS-VALLS, G., LAGRANGE, A., LE SAUX, B., BEAUPÈRE, A., BOULCH, A., CHAN-HON-TONG, A., HERBIN, S., RANDRIANARIVO, H., FERECATU, M., SHIMONI, M., MOSER, M., TUIA, D. (in press). Processing of extremely high resolution LiDAR and optical data: Outcome of the 2015 IEEE GRSS Data Fusion Contest. Part A: 2D contest. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 9(12): 5547-5559 (pdf - open access).
  • VO, A.V., TROUNG-HONG, L., LAEFER, D., TIEDE, D., D'OLEIRE-OLTMANNS, S:, BARALDI, A., SHIMONI, M., MOSER, G., TUIA, D. (2016). Processing of extremely high resolution LiDAR and optical data: Outcome of the 2015 IEEE GRSS Data Fusion Contest. Part B: 3D contest. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 9(12): 5560-5575 (pdf - open access).
  • TUIA., D., WEGNER, J., MALLET, C., YANG, M. (2016). Foreword to the special issue "Geovision: Computer Vision For Geospatial Applications". IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 9(7):2840-2843.
  • WANG, Q., GU, Y., TUIA, D. (2016). Discriminative multiple kernel learning for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens., 54(7): 3912-3927 (pdf - preprint).
  • OFLI, F., MEIER, P., IMRAN, M., CASTILLO, C., TUIA, D., REY, N., BRIANT, J., MILLET, P., REINHARD, F., PARKAN, M., JOOST, S. (2016). Combining human computing and machine learning to make sense of big (aerial) data for disaster response. Big Data, 4(1): 47-59. (pdf).
  • DE MORSIER, F., BORGEAUD, M., GASS, V., THIRAN, J.-PH, TUIA, D. (2016). Kernel low rank and sparse graph for unsupervised and semi-supervised classification of hyperspectral images. 54(6): 3410-3420. IEEE Trans. Geosci. Remote Sens.
  • GOMEZ-CHOVA, L., TUIA; D., MOSER, G., CAMPS-VALLS, G. (2015). Multimodal classification of remote sensing images: a review and future directions. Proceedings of the IEEE, 103(9): 1560-1584 (preprint - pdf).
  • TUIA, D., LOPEZ, S., SCHAEPMAN, M. and CHANUSSOT, J,. (2015). Foreword to the special issue on hyperspectral image and signal processing. IEEE J. Sel. Topics Appl. Earth Observ., 8(6): 2337-2340 (preprint - pdf).
  • TUIA, D. and MOSER, G. (2015). Foreword to the special issue on data fusion in remote sensing. IEEE Geosci. Remote Sens. Mag., 3(3): 6-7 (preprint - pdf). 
  • TUIA, D., COURTY, N., and FLAMARY, R. (2015). Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. ISPRS J. Int. Soc. Photo. Remote Sens., 105: 272-285 (preprint - pdf, code).  U.V. HELAVA prize, best paper 2012-2015 of the Journal of the ISPRS!
  • VOLPI, M., CAMPS-VALLS, G., TUIA, D. (2015). Spectral aligment of cross sensor images with automated kernel canonical correlation analysis. ISPRS J. Int. Soc. Photo. Remote Sens., 107:50-63 (preprint - pdf, code).
  • MATASCI, G., LONGBOTHAM, N., PACIFICI, F., KANEVSKI, M., TUIA, D. (2015). Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: a study of two multi-angle in-track image sequences. ISPRS J. Int. Soc. Photo. Remote Sens., 107:99-111. (preprint - pdf)
  • LIAO, W. HUANG, X., VAN COLLIE, F., GAUTAMA, A., PHILIPS, W., LIU, H., ZHU, T., SHIMONI, M., MOSER, G. AND TUIA, D. (2015). Processing of thermal hyperspectral and digital color cameras: outcome of the 2014 data fusion contest. IEEE J. Sel. Topics Appl. Earth Observ., 8(6): 2984-2996 (Open Access paper) 

  • STAMENKOVIC, J., FERRAZZOLI, P., GUERRIERO, L. TUIA, D., THIRAN, J.-PH. AND BORGEAUD, M. (2015). Joining a discrete radiative transfer model and a kernel retrieval algorithm for soil moisture estimation from SAR data. IEEE J. Sel. Topics Appl. Earth Observ., 8(7): 3463-3475. 

  • TUIA, D., VOLPI, M., TROLLIET, M., CAMPS-VALLS, G. (2014). Semisupervised manifold alignment of multimodal remote sensing images. IEEE Trans. Geosci. Remote Sens., 52(12): 7708-7720 (preprint - pdf, code).
  • MATASCI, G., VOLPI, M., KANEVSKI, M., BRUZZONE, L. and TUIA, D. (2015). Semisupervised transfer component analysis for domain adaptation in remote sensing image classification. IEEE Trans. Geosci. Remote Sens., 53(7): 3550-3564 (preprint - pdf).
  • HUO, L. Z., TANG, P., ZHANG, Z. and TUIA, D. (2015). Semisupervised classification of remote sensing images with hierarchical spatial similarity. IEEE Geosci. Remote Sens. Letters, 12(1):150–154 (preprint - pdf). 

  • GRAZIOLI, J., TUIA, D., and BERNE, A. (2015). Hydrometeor classification from polarimetric radar mea- surements: a clustering approach. Atmos. Meas. Tech., 8: 149-170 (open access pdf).
  • DE MORSIER, F., TUIA, D., BORGEAUD, M., GASS, V., and THIRAN, J. PH. (2015). Cluster validity measure and merging system for hierarchical clustering considering outliers. Pattern Recogn, 48(4): 1478-1489.
  • LAPARRA, V., JIMENEZ, S., TUIA, D., CAMPS-VALLS, G., and MALO, J. (2014). Principal polynomial analysis. Int. J. Neural Sys., 24(7).
  • GRAZIOLI, J., TUIA, D., MONHART, S., SCHNEEBLI, M., RAUPACH, T. and BERNE, A. (2014). Hydrometeor classification from two-dimensional video disdrometer datas. Atmos. Meas. Tech., 7:2869– 2882 (open access pdf). 
  • TUIA, D.MUNOZ-MARI, J., ROJO-ALVAREZ, J.-L., MARTINEZ-RAMON, M., and CAMPS-VALLS, G. (2014). Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces. IEEE Trans. Neural Networks, 25(7):1413-1419
  • CAMPS-VALLS, TUIA, D., BRUZZONE, L. and BENEDIKTSSON, J.A. (2014). Advances in hyperspectral image classification, IEEE Signal Processing Magazine, 31:45-54 (preprint - pdf).
  • TUIA

    , D., VOLPI, M., DALLA MURA, M., RAKOTOMAMONJY, A., and FLAMARY, R. (2014). Automatic feature learning for spatio-spectral image classification with sparse SVM. IEEE Trans. Geosci. Remote Sens, 52: 6062-6074(preprint - pdf, code).

  • PASOLLI, E., MELGANI, F., TUIA, D., PACIFICI, F., EMERY, W.J. (2014). SVM active learning using spatial information, IEEE Transactions on Geoscience and Remote Sensing, 52(4):2217-2233.

  • CRAWFORD, M., TUIA, D., YANG, L. H. (2013). Active learning: any value for remote sensing image classification?, Proceedings of the IEEE, 101(3): 593-608 (preprint - pdf).

  • TUIA, D., MUNOZ-MARI, J. (2013). Learning user's confidence for active learning, 

    IEEE Transactions on Geoscience and Remote Sensing, 51(2): 872-880 (preprint - pdf).

  • DE MORSIER, F., TUIA, D., BORGEAUD, M., GASS, V., THIRAN, J.P. (2013). Semi supervised novelty detection using SVM entire solution path, 

    IEEE Transactions on Geoscience and Remote Sensing, 51(4): 1939-1950 (preprint - pdf).

  • TUIA, D., MUNOZ-MARI, J., GOMEZ-CHOVA, L., MALO, J. (2013). Graph matching for adaptation in remote sensing, 

    IEEE Transactions on Geoscience and Remote Sensing, 51(1): 329-341 (preprint - pdf).

  • VOLPI, M., TUIA, D., BOVOLO, F., KANEVSKI, M., BRUZZONE, L. (2013). Supervised change detection in VHR images using contextual information and support vector machines, International Journal of Applied Earth Observation and Geoinformation, 20: 77-85 (preprint - pdf).

  • MATASCI, G., TUIA, D., KANEVSKI, M. (2012), SVM-based boosting of active learning for efficient domain adaptation, 

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(5): 1335-1343 (preprint - pdf).

  • TUIA, D., MUNOZ-MARI, J., CAMPS-VALLS, G. (2012). Remote sensing image segmentation by active queries, Pattern Recognition, 45, 2180-2192 (preprint - pdf). 

  • MUNOZ-MARI, J.

    TUIA, D., CAMPS-VALLS, G. (2012). Semisupervised segmentation of remote sensing images with active queries, 

    IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3751-3763 (preprint - pdf).

  • VOLPI, M., TUIA, D., CAMPS-VALLS, G., KANEVSKI, M. (2012). Unsupervised change detection with kernels, IEEE Geoscience and remote sensing Letters, 9(6), 1026-1030 (preprint - pdf).

  • LONGBOTHAM N., PACIFICI, F., GLENN, T., ZARE, A., VOLPI, M., TUIA, D., CHRISTOPHE, E., MICHEL, J., INGLADA, J., CHANUSSOT, J., DU Q. (2012). Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(1):331-342 (preprint - pdf).

  • VOLPI, M., TUIA, D., KANEVSKI, M. (2012). Memory-based cluster sampling for remote sensing image classification. IEEE Transactions on Geoscience and Remote Sensing, 50(8), 3096-3106 (preprint - pdf).

  • FLAMARY, R., TUIA, D., LABBE, B., CAMPS-VALLS, G. and RAKOTOMAMONJY, A. (2012). Large margin filtering. IEEE Transactions on Signal Processing, 60(2):648-659 (preprint - pdf).

  • KALBERMATTEN, M., VAN DE VILLE, D., TURBERG, P., TUIA, D. and JOOST, S. (2012). Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform. Geomorphology, 138(1), 352-363.

  • TUIA, D., PASOLLI, E., EMERY, W.J. (2011). Using active learning to adapt remote sensing image classifiers, Remote Sensing of Environment, 115(9), 2232-2242 (preprint - pdf).
  • TUIA, D., VOLPI, M., COPA, L., KANEVSKI, M., MUNOZ-MARI, J. (2011). A survey of active learning algorithms for supervised remote sensing image classification, IEEE Journal of Selected Topincs in Signal Processing, 5(3), 606-617 (preprint - pdf). 
  • TUIA, D., VERRELST, J., ALONSO-CHORDA, L., PEREZ-CRUZ, F., CAMPS-VALLS, G. (2011). Multioutput support vector regression for remote sensing biophysical parameter estimation, IEEE Geoscience and Remote Sensing Letters, 8(4): 804-808 (preprint - pdf).
  • TUIA, D., CAMPS-VALLS, G. (2011). Urban image classification with semisupervised multiscale cluster kernels, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 65-74 (preprint - pdf).
  • TUIA, D., MUÑOZ-MARI, J., KANEVSKI, M., CAMPS-VALLS, G. (2011). Structured output SVM for remote sensing image classification, Journal of Signal Processing Systems, 65(3):457-468. (preprint - pdf)
  • FORESTI, L., TUIA, D., KANEVSKI, M., POZDNOUKHOV, A. (2011). Learning wind fields with multiple kernels, Stochastic Environmental Research and Risk Assessment SERRA, 25(1), 51-66.
  • TUIA, D., CAMPS-VALLS, G., MATASCI, G., KANEVSKI, M. (2010). Learning the relevant image features with multiple kernels classification, IEEE Transactions on Geoscience and Remote Sensing, 48(10), 3780-3791 (preprint - pdf).
  • TUIA, D., RATLE, F., POZDNOUKHOV, A., CAMPS-VALLS, G. (2010). Multi-source composite kernels for urban image classification, IEEE Geoscience and Remote Sensing Letters, 7 (1), 88-92 (preprint - pdf)
  • TUIA, D., KAISER, C., DA CUNHA, A., KANEVSKI, M. (2010). Socio-economic spatio-temporal data: clustering and hot spot detection. Transactions on Computational Sciences VI, LNCS 5730: 234-250.
  • TUIA, D., CAMPS-VALLS, G. (2009). Semi-supervised remote sensing image classification with cluster kernels, IEEE Geoscience and Remote Sensing Letters, 6 (2), 224-228. (preprint - pdf).   
  • TUIA, D., RATLE, F., PACIFICI, F., KANEVSKI, M., EMERY, W.J. (2009). Active Learning methods for remote sensing image classification, IEEE Transactions on Gesocience and Remote Sensing, 47(7), 2218-2232.
  • TONINI, M., TUIA, D., RATLE, F. (2009). Detection of wildfire clusters with space-time scan statistics, Int. Journal of Wildland Fire, 18, 830-836. 
  • TUIA, D., PACIFICI, F., KANEVSKI, M., EMERY, W.J. (2009). Classification of very high spatial resolution imagery using mathematical morphology and support vector machines, IEEE Transactions on Gesocience and Remote Sensing, IGARSS08 Special Issue. 47 (11), 3866-3879.
  • LICCIARDI, G., PACIFICI, F.,TUIA, D., PRASAD, S., WEST, T., GIACCO, F., INGLADA, J., CHRISTOPHE, E., CHANUSSOT, J., GAMBA, P. (2009). Decision fusion for the classification of hyperspectral data: outcome of the 2008 GRS-S data fusion contest, IEEE Transactions on Gesocience and Remote Sensing, IGARSS08 Special Issue. 47(11), 3857-3865.

  • FASBENDER, D., TUIA, D., BOGAERT, P., KANEVSKI, M. (2008). Support-based implementation of bayesian data fusion for spatial enhancement: applications to ASTER thermal images, IEEE Geoscience and Remote Sensing Letters, 5 (4), 589-602 (pdf).
  • TUIA, D., LASAPONARA, R., TELESCA, L., KANEVSKI, M. (2008). Emergence of spatio-temporal patterns in forest-fire sequences, Physica A, 387, 3271-3280. (pdf)    
  • TUIA, D., KANEVSKI, M. (2008). Indoor radon distribution in Switzerland: lognormality and Extreme value theory, Journal of Environmental Radioactivity, 99, 649-657.  (pdf)     
  • TUIA, D., OSSES, M., ZAH, R., OSSES, M., CLAPPIER, A., ZARATE, E. (2007). Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-Sized cities, Atmospheric Environment, 41, 3658-3671. (pdf)

Magazine articles

    • TUIA, D., WEGNER, J. D., SCHINDLER, K., ZERUBIA, J., MOSER, G. (2015). Report on the IEEE/ISPRS workshop EarthVision @ CVPR 2015 (Boston, MA). IEEE Geosci. Remote Sens. Mag., 3(3): 121-129.
    • MOSER, G., TUIA, D., SHIMONI, M. (2015). Report on the 2015 IEEE GRSS data fusion contest: Extremely high resolution LiDAR and optical data: A data fusion challenge. IEEE Geosci. Remote Sens. Mag., 3(3): 118-121. 
    • MOSER, G., SHIMONI, M., TUIA, D. (2015). 2015 IEEE GRSS Data Fusion Contest: Extremely High Resolution LiDAR and Optical Data. IEEE Geosci. Remote Sens. Mag., 3(1):40-41. 
    • MOSER, G., TUIA, D., and SHIMONI, M. (2014). Report on the 2014 IEEE GRSS Data Fusion Contest: Multiresolution fusion of thermal hyperspectral and VIS datas. IEEE Remote Sens. Mag., 37-39.
    • MOSER, G., TUIA, D., SHIMONI, M. (2014). 2014 IEEE GRSS data fusion contest: multiresolution fusion of thermal hyperspectral and VIS data. IEEE Geosci. Remote Sens. Mag., 2(1):21-22,. 


    Books 

    • CAMPS-VALLS, G., TUIA, D., GOMEZ-CHOVA, L., JIMENEZ, S., MALO, J. (2011). Remote Sensing Image Processing, Morgan Claypool Synthesis Lectures on Image, Video and Multimedia.