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Alignment of Hyperspectral Images Using KAZE Features
(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 ...
GPU Accelerated Registration of Hyperspectral Images Using KAZE Features
(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, ...
Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery
(IEEE, 2019)
Morphological profiles are a common approach for extracting spatial information from remote sensing hyperspectral images by extracting structural features. Other profiles can be built based on different approaches such as, ...
A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration
(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, ...
GPU Accelerated FFT-Based Registration of Hyperspectral Scenes
(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 ...
HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing
(Taylor & Francis, 2016)
In this article, we present a desktop application for the analysis, reference data generation, registration, and supervised spatial-spectral classification of hyperspectral remote-sensing images through a simple and intuitive ...
Fourier–Mellin registration of two hyperspectral images
(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 ...
Wavelet-Based Multicomponent Denoising Profile for the Classification of Hyperspectral Images
(IEEE, 2019)
The high resolution of the hyperspectral remote sensing images available allows the detailed analysis of even small spatial structures. As a consequence, the study of techniques to efficiently extract spatial information ...
Simulating transport pathways of pelagic Sargassum from the Equatorial Atlantic into the Caribbean Sea
(Elsevier, 2018)
Since 2011, beach inundation of massive amounts of pelagic Sargassum algae has occurred around the Caribbean nations and islands. Previous studies have applied satellite ocean color to determine the origins of this phenomenon. ...
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images
(Springer, 2022)
Domain Adaptation (DA) is a technique that aims at extracting information from a labeled remote sensing image to allow classifying a different image obtained by the same sensor but at a different geographical location. ...