Search Results - "Paoletti, E."

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  1. 1

    Impact of ozone on Mediterranean forests: A review by Paoletti, E.

    Published in Environmental pollution (1987) (01-11-2006)
    “…Ozone impact on Mediterranean forests remains largely under-investigated, despite strong photochemical activity and harmful effects on crops. As representative…”
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    Journal Article
  2. 2

    Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification by Paoletti, Mercedes E., Haut, Juan Mario, Fernandez-Beltran, Ruben, Plaza, Javier, Plaza, Antonio J., Pla, Filiberto

    “…Convolutional neural networks (CNNs) exhibit good performance in image processing tasks, pointing themselves as the current state-of-the-art of deep learning…”
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    Journal Article
  3. 3

    Capsule Networks for Hyperspectral Image Classification by Paoletti, Mercedes E., Haut, Juan Mario, Fernandez-Beltran, Ruben, Plaza, Javier, Plaza, Antonio, Li, Jun, Pla, Filiberto

    “…Convolutional neural networks (CNNs) have recently exhibited an excellent performance in hyperspectral image classification tasks. However, the straightforward…”
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    Journal Article
  4. 4

    A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution by Haut, Juan Mario, Fernandez-Beltran, Ruben, Paoletti, Mercedes E., Plaza, Javier, Plaza, Antonio, Pla, Filiberto

    “…Super-resolution (SR) brings an excellent opportunity to improve a wide range of different remote sensing applications. SR techniques are concerned about…”
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    Journal Article
  5. 5

    Morphological Convolutional Neural Networks for Hyperspectral Image Classification by Roy, Swalpa, Mondal, Ranjan, Paoletti, Mercedes E., Haut, Juan M., Plaza, Antonio

    “…Convolutional neural networks (CNNs) have become quite popular for solving many different tasks in remote sensing data processing. The convolution is a linear…”
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    Journal Article
  6. 6

    Simultaneous measurements of above and below canopy ozone fluxes help partitioning ozone deposition between its various sinks in a Mediterranean Oak Forest by Fares, S., Savi, F., Muller, J., Matteucci, G., Paoletti, E.

    Published in Agricultural and forest meteorology (01-11-2014)
    “…•Water vapour and ozone fluxes were measured above and below a canopy of Holm Oak.•We modelled ozone deposition to soil, stomata, and cuticles.•Stomata…”
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    Journal Article
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    BVOC responses to realistic nitrogen fertilization and ozone exposure in silver birch by Carriero, G., Brunetti, C., Fares, S., Hayes, F., Hoshika, Y., Mills, G., Tattini, M., Paoletti, E.

    Published in Environmental pollution (1987) (01-06-2016)
    “…Emission of BVOC (Biogenic Volatile Organic Compounds) from plant leaves in response to ozone exposure (O3) and nitrogen (N) fertilization is poorly…”
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    Journal Article
  9. 9

    Metrics of ozone risk assessment for Southern European forests: Canopy moisture content as a potential plant response indicator by De Marco, A., Sicard, P., Vitale, M., Carriero, G., Renou, C., Paoletti, E.

    Published in Atmospheric environment (1994) (01-11-2015)
    “…Present standards for protecting ecosystems from ozone (O3), such as AOT40, use atmospheric concentrations. A stomatal flux-based approach (Phytotoxic O3 Dose,…”
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    Journal Article
  10. 10

    Adaptable Convolutional Network for Hyperspectral Image Classification by Paoletti, Mercedes E., Haut, Juan M.

    Published in Remote sensing (Basel, Switzerland) (01-09-2021)
    “…Nowadays, a large number of remote sensing instruments are providing a massive amount of data within the frame of different Earth Observation missions. These…”
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    Journal Article
  11. 11

    A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification by Paoletti, Mercedes E., Haut, Juan M., Tao, Xuanwen, Miguel, Javier Plaza, Plaza, Antonio

    Published in Remote sensing (Basel, Switzerland) (01-04-2020)
    “…The storage and processing of remotely sensed hyperspectral images (HSIs) is facing important challenges due to the computational requirements involved in the…”
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    Journal Article
  12. 12

    Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection by Haut, J. M., Moreno-Alvarez, S., Pastor-Vargas, R., Perez-Garcia, A., Paoletti, M. E.

    “…Spectral indices are of fundamental importance in providing insights into the distinctive characteristics of oil spills, constituting them indispensable tools…”
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    Journal Article
  13. 13

    Exploring new strategies for ozone-risk assessment: A dynamic-threshold case study by Conte, A., Otu-Larbi, F., Alivernini, A., Hoshika, Y., Paoletti, E., Ashworth, K., Fares, S.

    Published in Environmental pollution (1987) (15-10-2021)
    “…Tropospheric ozone is a dangerous atmospheric pollutant for forest ecosystems when it penetrates stomata. Thresholds for ozone-risk assessment are based on…”
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    Journal Article
  14. 14

    Ozone-induced stomatal sluggishness changes stomatal parameters of Jarvis-type model in white birch and deciduous oak by Hoshika, Y, Watanabe, M, Carrari, E, Paoletti, E, Koike, T

    Published in Plant biology (Stuttgart, Germany) (01-01-2018)
    “…Stomatal ozone flux is closely related to ozone injury to plants. Jarvis-type multiplicative model has been recommended for estimating stomatal ozone flux in…”
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    Journal Article
  15. 15

    Chronic ozone exposure preferentially modifies root rather than foliar metabolism of date palm (Phoenix dactylifera) saplings by Arab, L., Hoshika, Y., Müller, H., Cotrozzi, L., Nali, C., Tonelli, M., Ache, P., Paoletti, E., Alfarraj, S., Albasher, G., Hedrich, R., Rennenberg, H.

    Published in The Science of the total environment (01-02-2022)
    “…In their natural environment, date palms are exposed to chronic atmospheric ozone (O3) concentrations from local and remote sources. In order to elucidate the…”
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    Journal Article
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    A New Deep Convolutional Network for Effective Hyperspectral Unmixing by Tao, Xuanwen, Paoletti, Mercedes E., Han, Lirong, Wu, Zhaoyue, Ren, Peng, Plaza, Javier, Plaza, Antonio, Haut, Juan M.

    “…Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most…”
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    Journal Article
  18. 18

    Promoting the O3 flux concept for European forest trees by Matyssek, R, Bytnerowicz, A, Karlsson, P.E, Paoletti, E, Sanz, M, Schaub, M, Wieser, G

    Published in Environmental pollution (1987) (01-04-2007)
    “…Tropospheric ozone (O3) levels are predicted to stay high, being a factor within "global change" with potential effects on the carbon sink strength of forest…”
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    Journal Article Conference Proceeding
  19. 19

    UV-B and Mediterranean forest species: Direct effects and ecological consequences by Paoletti, E.

    Published in Environmental pollution (1987) (01-10-2005)
    “…Experimental results from plants receiving elevated doses of UV-B radiation generally show that Mediterranean forest species are well protected against…”
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    Journal Article
  20. 20

    Deep Dense Convolutional Neural Network for Hyperspectral Image Classification by Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, Antonio Plaza

    Published in Remote sensing (Basel, Switzerland) (01-09-2018)
    “…Deep neural networks (DNNs) have emerged as a relevant tool for the classification of remotely sensed hyperspectral images (HSIs), with convolutional neural…”
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    Journal Article