Search Results - "Zeggada, Abdallah"

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  1. 1

    A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery by Bejiga, Mesay Belete, Zeggada, Abdallah, Nouffidj, Abdelhamid, Melgani, Farid

    “…Following an avalanche, one of the factors that affect victims' chance of survival is the speed with which they are located and dug out. Rescue teams use…”
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    Journal Article
  2. 2

    A Deep Learning Approach to UAV Image Multilabeling by Zeggada, Abdallah, Melgani, Farid, Bazi, Yakoub

    Published in IEEE geoscience and remote sensing letters (01-05-2017)
    “…In this letter, we face the problem of multilabeling unmanned aerial vehicle (UAV) imagery, typically characterized by a high level of information content, by…”
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    Journal Article
  3. 3

    Low-Cost Handheld Spectrometry for Detecting Flavescence Dorée in Vineyards by Imran, Hafiz Ali, Zeggada, Abdallah, Ianniello, Ivan, Melgani, Farid, Polverari, Annalisa, Baroni, Alice, Danzi, Davide, Goller, Rino

    Published in Applied sciences (01-02-2023)
    “…This study was conducted to evaluate the potential of low-cost hyperspectral sensors for the early detection of Flavescence dorée (FD) from asymptomatic…”
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    Journal Article
  4. 4

    Spatial and Structured SVM for Multilabel Image Classification by Koda, Satoru, Zeggada, Abdallah, Melgani, Farid, Nishii, Ryuei

    “…We describe a novel multilabel classification approach based on a support vector machine (SVM) for the extremely high-resolution remote sensing images. Its…”
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    Journal Article
  5. 5

    Multilabel Conditional Random Field Classification for UAV Images by Zeggada, Abdallah, Benbraika, Souad, Melgani, Farid, Mokhtari, Zouhir

    Published in IEEE geoscience and remote sensing letters (01-03-2018)
    “…In this letter, we formulate the multilabeling classification problem of unmanned aerial vehicle (UAV) imagery within a conditional random field (CRF)…”
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    Journal Article
  6. 6

    Recovering the sight to blind people in indoor environments with smart technologies by Mekhalfi, Mohamed L., Melgani, Farid, Zeggada, Abdallah, De Natale, Francesco G.B., Salem, Mohammed A.-M., Khamis, Alaa

    Published in Expert systems with applications (15-03-2016)
    “…•This paper presents a prototype to assist blind people in indoor environments.•The prototype incorporates recognition and guidance units.•It comprises also a…”
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    Journal Article
  7. 7

    Convolutional neural networks for near real-time object detection from UAV imagery in avalanche search and rescue operations by Bejiga, Mesay Belete, Zeggada, Abdallah, Melgani, Farid

    “…In recent years, unmanned aerial vehicles (UAVs) have been widely used for civilian remote sensing applications. One of them is to assess damages due to…”
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    Conference Proceeding
  8. 8

    Multilabel classification of UAV images with Convolutional Neural Networks by Zeggada, Abdallah, Melgani, Farid

    “…In this paper, we present a multilabel classification method for images acquired by means of Unmanned Ariel Vehicles (UAV) over urban areas. Due to the fact…”
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    Conference Proceeding
  9. 9

    Multilabeling UAV images with Autoencoder networks by Zeggada, Abdallah, Melgani, Farid

    “…This paper describes a fast multilabel classification method for unmanned aerial vehicle (UAV) images acquired over urban areas. It starts by subdividing a…”
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    Conference Proceeding
  10. 10

    A fast screening method for detecting cars in UAV images over urban areas by Moranduzzo, Thomas, Zeggada, Abdallah, Melgani, Farid

    “…The paper presents a fast screening method to isolate asphalted areas in urban images acquired with unmanned aerial vehicles (UAV). The screening is a key…”
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    Conference Proceeding
  11. 11

    Leaf development index estimation using UAV imagery for fighting apple scab by Zeggada, Abdallah, Stella, Alessandro, Caliendo, Gennaro, Melgani, Farid, Barazzuol, Maurizio, La Porta, Nicola, Goller, Rino

    “…This paper describes the use of Unmanned Aerial Vehicle (UAV) technology to fight apple scab. Specifically, it shows how it is possible to improve the scab…”
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    Conference Proceeding