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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, ...
Exploring the Registration of Remote Sensing Images using HSI-KAZE in Graphical Units
(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 ...
Comparing area–based and feature–based methods for co–registration of multispectral bands on GPU
(IEEE, 2021)
Registration is required as a previous step for processing multispectral images. The different bands captured by each sensor for each image, as well as the different images corresponding to the same area, need to be aligned. ...
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 ...
Transformada de Fourier aplicada al alineamiento de imágenes multidimensionales en GPU
(Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2017)
La alineación de imágenes es una tarea previa fundamental en numerosas aplicaciones de imágenes. La gran cantidad de información que contienen las imágenes multidimensionales puede ser utilizada para conseguir alineaciones ...
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. ...