Blar i NTNU Open på forfatter "Fortuna, João"

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    • A Lightweight Payload for Hyperspectral Remote Sensing using Small UAVS 

      Fortuna, João; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)
      In this paper we describe a lightweight hyperspectral imaging payload consisting of a push-broom imager, GPS and IMU sensors as well as data synchronization and acquisition systems. The payload is developed in a modular ...

    • Coordinating UAVs and AUVs for Oceanographic Field Experiments:Challenges and Lessons Learned 

      Faria, Margarida; Pinto, José; Py, Frédéric; Fortuna, João; Dias, Hugo; Martins, Ricardo; Leira, Frederik Stendahl; Johansen, Tor Arne; Sousa, João; Rajan, Kanna (Journal article, 2014)
      Obtaining synoptic observations of dynamic ocean phenomena such as fronts, eddies, oxygen minimum zones and blooms has been challenging primarily due to the large spatial scales involved. Traditional methods of observation ...

    • Do it yourself hyperspectral imager for handheld to airborne operations 

      Sigernes, Fred; Syrjäsuo, Mikko; Storvold, Rune; Fortuna, João; Grøtte, Mariusz Eivind Santora; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)
      This study describes rapid prototype construction of small and lightweight push broom Hyper Spectral Imagers (HSI). The dispersive element housings are printed by a thermoplastic 3D printer combined with S-mount optical ...

    • Hyperspectral Remote Sensing Instrument design, field campaigns and data analysis 

      Fortuna, João (Doctoral theses at NTNU;2021:225, Doctoral thesis, 2021)
      Hyperspectral remote sensing is still a young field of research, but with a lot of interest, justified by its promising ability to detect and quantify targets. Recent developments in camera technology and single-board ...

    • Multivariate data modelling for de-shadowing of airborne hyperspectral imaging 

      Fortuna, João; Martens, Harald (Journal article; Peer reviewed, 2017-02)
      Airborne hyperspectral imaging is a powerful technique for high-resolution classification of large areas of ground, applied today in fields like agriculture and environmental monitoring. Even though many classification ...

    • Multivariate Image Fusion: A Pipeline For Hyperspectral Data Enhancement 

      Fortuna, João; Martens, Harald; Johansen, Tor Arne (Journal article, 2020)
      Hyperspectral cameras provide high spectral resolution data, but their usual low spatial resolution when compared to color (RGB) instruments is still a limitation for more detailed studies. This article presents a simple ...

    • UAV Path Planning for Maximum-Information Sensing in Spatiotemporal Data Acquisition 

      Vibeto, Andreas Nordby (Master thesis, 2017)
      Fixed-wing Unmanned Aerial Vehicles are extensively used for ground observation, as they allow for effective and precise methods of collecting information. They do however, have a downside as the quality of the information ...