Search Results - "Heras, Dora B."

Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images by Cardama, F. Javier, Heras, Dora B., Argüello, Francisco

“…Change detection in very-high-spatial-resolution (VHR) remote sensing images is a very challenging area with applicability in many problems ranging from damage…”
Get full text

GPU Framework for Change Detection in Multitemporal Hyperspectral Images by López-Fandiño, Javier, B. Heras, Dora, Argüello, Francisco, Dalla Mura, Mauro

“…Nowadays, it is increasingly common to detect land cover changes using remote sensing multispectral images captured at different time-frames over the same…”
Get full text

ResBaGAN: A Residual Balancing GAN with Data Augmentation for Forest Mapping by Dieste, Alvaro G., Arguello, Francisco, Heras, Dora B.

“…Although deep learning techniques are known to achieve outstanding classification accuracies, remote sensing datasets often present limited labeled data and…”
Get full text

HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT by Ordonez, Alvaro, Accion, Alvaro, Arguello, Francisco, Heras, Dora B.

“…Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered…”
Get full text

A New Multispectral Data Augmentation Technique Based on Data Imputation by Acción, Álvaro, Argüello, Francisco, Heras, Dora B.

“…Deep Learning (DL) has been recently introduced into the hyperspectral and multispectral image classification landscape. Despite the success of DL in the…”
Get full text

Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification by Acción, Álvaro, Argüello, Francisco, Heras, Dora B.

“…Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based…”
Get full text

Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels by Blanco, Sergio R., Heras, Dora B., Argüello, Francisco

“…Texture information allows characterizing the regions of interest in a scene. It refers to the spatial organization of the fundamental microstructures in…”
Get full text

Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods by Argüello, Francisco, Heras, Dora B., Garea, Alberto S., Quesada-Barriuso, Pablo

“…Watershed management is the study of the relevant characteristics of a watershed aimed at the use and sustainable management of forests, land, and water…”
Get full text

TCANet for Domain Adaptation of Hyperspectral Images by S. Garea, Alberto S., Heras, Dora B., Argüello, Francisco

“…The use of Convolutional Neural Networks (CNNs) to solve Domain Adaptation (DA) image classification problems in the context of remote sensing has proven to…”
Get full text

ResNeTS: A ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction by Dieste, Alvaro G., Arguello, Francisco, Heras, Dora B., Magdon, Paul, Linstadter, Anja, Dubovyk, Olena, Muro, Javier

“…Analyzing time series from remote sensing data can aid in understanding spectral-temporal phenomena in ecosystems, such as the seasonal variation of plant…”
Get full text

Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata by Quesada-Barriuso, Pablo, B. Heras, Dora, Argüello, Francisco

“…[Display omitted] •We present a cellular automata based watershed that exploits the GPU architecture.•We propose a block-asynchronous strategy that maps the…”
Get full text

GPU Accelerated FFT-Based Registration of Hyperspectral Scenes by Ordonez, Alvaro, Arguello, Francisco, Heras, Dora B.

“…Registration is a fundamental previous task in many applications of hyperspectrometry. Most of the algorithms developed are designed to work with RGB images…”
Get full text

Exploring ELM-based spatial-spectral classification of hyperspectral images by Heras, Dora B., Argüello, Francisco, Quesada-Barriuso, Pablo

“…Among the different computational intelligence techniques avalaible for hyperspectral data classification, support vector machines (SVMs) have played a…”
Get full text

Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images by López-Fandiño, Javier, Heras Dora, B, Argüello, Francisco

“…This paper proposes a parallel algorithm exploiting heterogeneous computing and edge computing for anomaly detection (AD) in remotely sensed multispectral…”
Get full text

Caffe CNN-based classification of hyperspectral images on GPU by Garea, Alberto S., Heras, Dora B., Argüello, Francisco

“…Deep learning techniques based on Convolutional Neural Networks (CNNs) are extensively used for the classification of hyperspectral images. These techniques…”
Get full text

Spectral-Spatial Classification of Hyperspectral Images Using Wavelets and Extended Morphological Profiles by Quesada-Barriuso, Pablo, Arguello, Francisco, Heras, Dora B.

“…This paper deals with hyperspectral image classification in remote sensing. The proposed scheme is a spectral-spatial technique based on wavelet transforms and…”
Get full text

Parallel and distributed Processing: advances on architectures and applications of parallel systems by Llanos, Diego R., Heras, Dora B.

Get full text

Correction to: Parallel and distributed Processing: advances on architectures and applications of parallel systems by Llanos, Diego R., Heras, Dora B.

Get full text

Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery by Accion, Alvaro, Arguello, Francisco, Heras, Dora B.

“…Morphological profiles are a common approach for extracting spatial information from remote sensing hyperspectral images by extracting structural features…”
Get full text

Fourier-Mellin registration of two hyperspectral images by Ordóñez, Álvaro, Argüello, Francisco, Heras, Dora B.

“…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…”
Get full text