Now showing items 1-8 of 8

    • Alignment of Hyperspectral Images Using KAZE Features 

      Ordóñez Iglesias, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (MDPI, 2018)
      Image registration is a common operation in any type of image processing, specially in remote sensing images. Since the publication of the scale–invariant feature transform (SIFT) method, several algorithms based on feature ...
    • Exploring the Registration of Remote Sensing Images using HSI-KAZE in Graphical Units 

      Ordóñez Iglesias, Álvaro; Blanco Heras, Dora; Argüello Pedreira, Francisco Santiago (2019)
      Registration of hyperspectral remote sensing images is a common task in many image processing applications such as land use classification, environmental monitoring and change detection. The images to be registered present ...
    • Fourier–Mellin registration of two hyperspectral images 

      Ordóñez Iglesias, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (Taylor & Francis, 2017-03-21)
      Hyperspectral images contain a great amount of information which can be used to more robustly register such images. In this article, we present a phase correlation method to register two hyperspectral images that takes ...
    • GPU Accelerated FFT-Based Registration of Hyperspectral Scenes 

      Ordóñez Iglesias, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (IEEE, 2017)
      Registration is a fundamental previous task in many applications of hyperspectrometry. Most of the algorithms developed are designed to work with RGB images and ignore the execution time. This paper presents a phase ...
    • GPU Accelerated Registration of Hyperspectral Images Using KAZE Features 

      Ordóñez Iglesias, Álvaro; Blanco Heras, Dora; Argüello Pedreira, Francisco Santiago; Demir, Begüm (Springer, 2020)
      Image registration is a common task in remote sensing, consisting in aligning different images of the same scene. It is a computationally expensive process, especially if high precision is required, the resolution is high, ...
    • HSI-MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT 

      Ordóñez Iglesias, Álvaro; Acción Montes, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (IEEE, 2021)
      Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered. The Maximally Stable Extremal Regions (MSER) is a feature detection ...
    • A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration 

      Fernández Fabeiro, Jorge; Ordóñez Iglesias, Álvaro; González Escribano, Arturo; Blanco Heras, Dora (Springer, 2018)
      Hyperspectral image registration is a relevant task for real-time applications like environmental disasters management or search and rescue scenarios. Traditional algorithms were not really devoted to real-time performance, ...
    • Towards a multi-device versión of the HYFMGPU Algorithm 

      Fernández Fabeiro, Jorge; Ordóñez Iglesias, Álvaro; González Escribano, Arturo; Blanco Heras, Dora (International Conference on Computational and Mathematical Methods in Science and Engineering, 2018)
      The task consisting on estimating the translation, rotation and scaling of an image with respect to another take of the same scene obtained at different times, viewpoints and/or lightning conditions is known as image ...





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