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C. Paris PhD (Claudia)

Universitair docent

Expertises

Engineering & Materials Science
Fusion Reactions
Optical Radar
Remote Sensing
Satellites
Time Series
Triangulation
Earth & Environmental Sciences
Detection
Learning

Publicaties

Recent
Sedona, R. , Paris, C., Cavallaro, G., Bruzzone, L., & Riedel, M. (2021). A high-performance multispectral adaptation GAN for harmonizing dense time series of Landsat-8 and Sentinel-2 images. IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 10134 - 10146. https://doi.org/10.1109/jstars.2021.3115604
Weikmann, G. , Paris, C., & Bruzzone, L. (2021). TimeSen2Crop: A million labeled samples dataset of Sentinel 2 image time series for crop-type classification. IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 4699-4708. [9408357]. https://doi.org/10.1109/JSTARS.2021.3073965
Hagos, D. H., Kakantousis, T., Vlassov, V., Sheikholeslami, S., Wang, T., Dowling, J. , Paris, C., Marinelli, D., Weikmann, G., Bruzzone, L., Khaleghian, S., Krmer, T., Eltoft, T., Marinoni, A., Pantazi, D-A., Stamoulis, G., Bilidas, D., Papadakis, G., Mandilaras, G., ... Cziferszky, A. (2021). ExtremeEarth meets satellite data from space. IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 9038-9063. https://doi.org/10.1109/JSTARS.2021.3107982
Paris, C., Weikmann, G., & Bruzzone, L. (2020). A study of the robustness of the long short-term memory classifier to cloudy time series of multispectral images. 1-10. Paper presented at Image and signal processing for remote sensing XXVI. https://doi.org/10.1117/12.2574383
Gregorio, L. D., Bovolo, F., Callegari, M., Günther, D., Marin, C., Niroumand-Jadidi, M. , Paris, C., Podsiadlo, I., Strasser, U., Zebisch, M., Bruzzone, L., & Notarnicola, C. (2020). Snow Parameters Estimation Through New Data Fusion Approaches Involving a Hydrological Model and Remote Sensing Products. 1. Abstract from International Conference on Snow Hydrology., Bolzano, Italy. https://snowhydro.eurac.edu/
Podsialdo, I. , Paris, C., Callegari, M., Marin, C., Gunter, D., Strasser, U., Notarnicola, C., & Bruzzone, L. (2020). Integrating models and remote sensing data for distributed glacier mass balance estimation. IEEE Journal of selected topics in applied earth observations and remote sensing, 6177-6194. https://doi.org/10.1109/jstars.2020.3028653
Paris, C., & Bruzzone, L. (2020). A novel approach to the unsupervised extraction of reliable training samples from thematic products. IEEE transactions on geoscience and remote sensing, 59(3), 1930-1948. [9121728]. https://doi.org/10.1109/tgrs.2020.3001004
Harikumar, A. , Paris, C., Bovolo, F., & Bruzzone, L. (2020). A crown quantization-based approach to tree-species classification using high-density airborne laser scanning data. IEEE transactions on geoscience and remote sensing, 59(5), 4444-4453. https://doi.org/10.1109/tgrs.2020.3012343
Paris, C., Bioucas-Dias, J., & Bruzzone, L. (2019). A Novel Sharpening Approach for Superresolving Multiresolution Optical Images. IEEE transactions on geoscience and remote sensing, 57(3), 1545-1560. [8472286]. https://doi.org/10.1109/TGRS.2018.2867284
Marinelli, D. , Paris, C., & Bruzzone, L. (2019). An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. IEEE geoscience and remote sensing letters, 16(11), 1771-1775. [8698891]. https://doi.org/10.1109/LGRS.2019.2908314
Paris, C., & Bruzzone, L. (2019). A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data. IEEE transactions on geoscience and remote sensing, 57(1), 76-92. [8428490]. https://doi.org/10.1109/TGRS.2018.2852364
Podsiadlo, I. , Paris, C., Bovolo, F., Callegari, M., De Gregorio, L., Günther, D., Marin, C., Marke, T., Niroumand-Jadidi, M., Notarnicola, C., Strasser, U., Zebisch, M., & Bruzzone, L. (2019). Integration of hydro-climatological model and remote sensing for glacier mass balance estimation. Paper presented at SPIE Remote Sensing 2019, Strasbourg, France. https://doi.org/10.1117/12.2533232
Koubarakis, M., Bereta, K., Bilidas, D., Giannousis, K., Ioannidis, T., Pantazi, D-A., Stamoulis, G., Haridi, S., Vlassov, V., Bruzzone, L. , Paris, C., Eltoft, T., Krämer, T., Charalabidis, A., Karkaletsis, V., Konstantopoulos, S., Dowling, J., Kakantousis, T., Datcu, M., ... Fleming, A. (2019). From copernicus big data to extreme earth analytics. In EDBT/ICDT 2019 Joint Conference (pp. 690-693). [321] https://doi.org/10.5441/002/edbt.2019.88
Bovolo, F., Bruzzone, L., Fernández-Prieto, D. , Paris, C., Solano-Correa, Y. T., Volden, E., & Zanetti, M. (2019). Big Data from Space for Precision Agriculture Applications. In S. Nativi, C. Wang, G. Landgraf, M. A. Liberti, P. Mazzetti, & Z. S. Mohamed-Ghouse (Eds.), 11th International Symposium on Digital Earth (ISDE 11) (Vol. 509, pp. 1-3). [012004] IOP. https://doi.org/10.1088%2F1755-1315%2F509%2F1%2F012004
Paris, C., & Bruzzone, L. (2019). Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. In 2019 IEEE International Geoscience & Remote Sensing Symposium: Proceedings (pp. 5722-5725). [8900649] IEEE. https://doi.org/10.1109/IGARSS.2019.8900649
Marinelli, D. , Paris, C., & Bruzzone, L. (2019). An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. In 2019 IEEE International Geoscience & Remote Sensing Symposium: Proceedings (pp. 94-97). [8899772] IEEE. https://doi.org/10.1109/IGARSS.2019.8899772
Bertoluzza, M. , Paris, C., & Bruzzone, L. (2019). A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images. In 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) [8866920] IEEE. https://doi.org/10.1109/Multi-Temp.2019.8866920
Paris, C., Bruzzone, L., & Diego, F-P. (2019). A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images. IEEE transactions on geoscience and remote sensing, 57(7), 4259-4277. [8635553]. https://doi.org/10.1109/TGRS.2018.2890404
Paris, C., & Bruzzone, L. (2018). A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images. IEEE transactions on geoscience and remote sensing, 56(3), 1308-1324. [8088346]. https://doi.org/10.1109/TGRS.2017.2761839
Marinelli, D. , Paris, C., & Bruzzone, L. (2018). Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. In 2018 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 3999-4002). [8518441] IEEE. https://doi.org/10.1109/IGARSS.2018.8518441
Harikumar, A. , Paris, C., Bovolo, F., & Bruzzone, L. (2018). A novel data-driven approach to tree species classification using high density multireturn airborne lidar data. In L. Bruzzone, & F. Bovolo (Eds.), Image and Signal Processing for Remote Sensing XXIV (Vol. XXIV). [107890E] SPIE. https://doi.org/10.1117/12.2325634
Marinelli, D. , Paris, C., & Bruzzone, L. (2018). A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas. IEEE transactions on geoscience and remote sensing, 56(6), 3030-3046. [8272508]. https://doi.org/10.1109/TGRS.2018.2789660
Paris, C., Bruzzone, L., & Fernandez-Prieto, D. (2018). A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images. In 2018 IEEE International Geoscience and Remote Sensing Symposium: Observing, understanding and forecasting the dynamics of our planet (pp. 3619-3622). [8517458] IEEE. https://doi.org/10.1109/IGARSS.2018.8517458

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