Blar i forfatter Artikler, rapporter og annet (fysikk og teknologi) "Gamba, Paolo"

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    • Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR 

      Marinoni, Andrea; Espeseth, Martine; Gamba, Paolo; Brekke, Camilla; Eltoft, Torbjørn (Peer reviewed; Chapter; Bokkapittel, 2019-11-14)
      In this paper, we introduce a new approach for investigation of polarimetric Synthetic Aperture Radar (PolSAR) images for oil slick analysis. Our method aims at enhancing discrimination of oil types by exploring the polarimetric features that can be produced by processing PolSAR scenes without dimensionality reduction. Taking advantage of a mixture description of the interactions among classes within ...

    • Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection 

      Chlaily, Saloua; Mura, Mauro Della; Chanussot, Jocelyn; Jutten, Christian; Gamba, Paolo; Marinoni, Andrea (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-17)
      Although multimodal remote sensing data analysis can strongly improve the characterization of physical phenomena on Earth's surface, nonidealities and estimation imperfections between records and investigation models can limit its actual information extraction ability. In this article, we aim at predicting the maximum information extraction that can be reached when analyzing a given data set. By ...

    • A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation 

      Bayer, Fábio M.; Bayer, Débora M.; Marinoni, Andrea; Gamba, Paolo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-02-19)
      This article introduces the Rayleigh autoregressive moving average (RARMA) model, which is useful to interpret multiple different sets of remotely sensed data, from wind measurements to multitemporal synthetic aperture radar (SAR) sequences. The RARMA model is indeed suitable for continuous, asymmetric, and nonnegative signals observed over time. It describes the mean of Rayleigh-distributed ...

    • Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization 

      Khachatrian, Eduard; Chlaily, Saloua; Eltoft, Torbjørn; Gamba, Paolo; Marinoni, Andrea (Journal article; Tidsskriftartikkel, 2021)
      The vast amount of spectral information provided by hyperspectral images can be useful for different applications. However, the presence of redundant bands will negatively affect application performance. Therefore, it is crucial to select a relevant subset that preserves the information of the original set. In this paper, we present an automatic and accurate band selection method based on Graph ...