Now showing items 1-10 of 20
Estrategias de sostenibilidad y responsabilidad social en las universidades españolas: una herramienta para su evaluación
(Universidad de Granada. Facultad de Ciencias de la Educación, 2012)
Towards a multi-device versión of the HYFMGPU Algorithm
(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 ...
A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration
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, ...
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
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 ...
Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery
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, ...
Alignment of Hyperspectral Images Using KAZE Features
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 ...
TCANet for Domain Adaptation of Hyperspectral Images
The use of Convolutional Neural Networks (CNNs) to solve Domain Adaptation (DA) image classification problems in the context of remote sensing has proven to provide good results but at high computational cost. To avoid ...
Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification
Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based techniques can be applied to DL, significantly decreasing training ...