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        <item>
            <title>cva</title>
            <link>http://wiki.citius.gal/hiperespectral:cva?rev=1516193522&amp;do=diff</link>
            <description>GPU Framework for Change Detection of Multitemporal Hyperspectral Images

Experimental results related to the paper GPU Framework for Change Detection of Multitemporal Hyperspectral Images published in the International Journal of Parallel Programming.

Abstract

Nowadays, it is increasingly common to detect land cover changes using remote sensing multispectral images captured at different time-frames over the same area. A large part of the available change detection methods focus on pixel-based…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 17 Jan 2018 12:52:02 +0000</pubDate>
        </item>
        <item>
            <title>eadp_gpu</title>
            <link>http://wiki.citius.gal/hiperespectral:eadp_gpu?rev=1595258786&amp;do=diff</link>
            <description>Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery

Experimental results related to the paper Extended Anisotropic Diffusion Profiles in GPU for Hyperspectral Imagery by Álvaro Acción, Francisco Argüello, and Dora B. Heras.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 20 Jul 2020 15:26:26 +0000</pubDate>
        </item>
        <item>
            <title>elm-emp</title>
            <link>http://wiki.citius.gal/hiperespectral:elm-emp?rev=1462969238&amp;do=diff</link>
            <description>Experimental results related to the paper ELM-based Spectral-Spatial Classification of Hyperspectral Images using Extended Morphological Profiles and Composite Feature Mappings published in the International Journal of Remote Sensing.

Abstract

Extreme Learning Machine (ELM) is a supervised learning technique for a class of feed forward neural networks with random weights that has recently been used with success for the classification of hyperspectral images. In this work we show that morpholog…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 11 May 2016 12:20:38 +0000</pubDate>
        </item>
        <item>
            <title>gpu-elm-rs</title>
            <link>http://wiki.citius.gal/hiperespectral:gpu-elm-rs?rev=1463052418&amp;do=diff</link>
            <description>GPU-Based Extreme Learning Machine for the Classification of Hyperspectral Remote Sensing Images

Experimental results related to the paper Efficient ELM-based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs by Javier López-Fandiño, Pablo Quesada-Barriuso, Dora B. Heras, and Francisco Argüello, published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 12 May 2016 11:26:58 +0000</pubDate>
        </item>
        <item>
            <title>gpu-retina</title>
            <link>http://wiki.citius.gal/hiperespectral:gpu-retina?rev=1462976157&amp;do=diff</link>
            <description>GPU-Based Segmentation of Retinal Blood Vessels

Experimental results and programming code related to the paper 
GPU-Based Segmentation of Retinal Blood Vessels by Francisco Argüello, David L. Vilariño, Dora B. Heras, and Alejandro Nieto, published in the Journal of Real time Image Processing.

Abstract

In this paper a fast and accurate technique for retinal vessel tree extraction is proposed. It consists of a hybrid strategy based on global image filtering and contour tracing. With the aim of …</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 11 May 2016 14:15:57 +0000</pubDate>
        </item>
        <item>
            <title>hsi-kaze-gpu</title>
            <link>http://wiki.citius.gal/hiperespectral:hsi-kaze-gpu?rev=1631785647&amp;do=diff</link>
            <description>GPU-Accelerated Registration of Hyperspectral Images Using KAZE Features

Experimental results related to the paper GPU-Accelerated Registration of Hyperspectral Images Using KAZE Features by Álvaro Ordóñez, Francisco Argüello, Dora B. Heras, and Begüm Demir, published in Journal of Supercomputing.

Abstract

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 …</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 16 Sep 2021 09:47:27 +0000</pubDate>
        </item>
        <item>
            <title>hsi-kaze</title>
            <link>http://wiki.citius.gal/hiperespectral:hsi-kaze?rev=1707135426&amp;do=diff</link>
            <description>Alignment of Hyperspectral Images Using KAZE Features

Experimental results related to the paper Alignment of Hyperspectral Images Using KAZE Features by Álvaro Ordóñez, Francisco Argüello, and Dora B. Heras, published in Remote Sensing.

Abstract

Image registration is a common operation in any type of image processing, specially in remote sensing images. Since the publication of the scale</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 05 Feb 2024 12:17:06 +0000</pubDate>
        </item>
        <item>
            <title>hsi-surf</title>
            <link>http://wiki.citius.gal/hiperespectral:hsi-surf?rev=1631870019&amp;do=diff</link>
            <description>SURF-based registration for hyperspectral images

Experimental results related to the paper SURF-based registration for hyperspectral images by Álvaro Ordóñez, Dora B. Heras, and Francisco Argüello, published in the proceedings of the 2019 International Geoscience and Remote Sensing Symposium.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 17 Sep 2021 09:13:39 +0000</pubDate>
        </item>
        <item>
            <title>hsi_mser</title>
            <link>http://wiki.citius.gal/hiperespectral:hsi_mser?rev=1707237086&amp;do=diff</link>
            <description>HSI-MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT

Experimental results related to the paper “HSI--MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT” by Álvaro Ordóñez, Álvaro Acción, Francisco Argüello, and Dora B. Heras, published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 06 Feb 2024 16:31:26 +0000</pubDate>
        </item>
        <item>
            <title>hycnn</title>
            <link>http://wiki.citius.gal/hiperespectral:hycnn?rev=1463052389&amp;do=diff</link>
            <description>hycnn

Experimental results related to the paper Spectral-Spatial Classification of Hyperspectral Images Based on Convolutional Neural Networks (under revision).

Abstract

Hyperspectral images contain a large amount of information that can be used to improve the classification accuracy. This information is both spatial and spectral. Recently, deep learning techniques based on Convolutional Neural Networks (CNN) have started to be used for classification of hyperspectral images. In this paper we…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 12 May 2016 11:26:29 +0000</pubDate>
        </item>
        <item>
            <title>hyfm-gpu</title>
            <link>http://wiki.citius.gal/hiperespectral:hyfm-gpu?rev=1510307309&amp;do=diff</link>
            <description>GPU Accelerated FFT-based Registration of Hyperspectral Scenes

Experimental results related to the paper GPU Accelerated FFT-based Registration of Hyperspectral Scenes by Álvaro Ordóñez, Francisco Argüello, and Dora B. Heras, published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 10 Nov 2017 09:48:29 +0000</pubDate>
        </item>
        <item>
            <title>hyfm-reg</title>
            <link>http://wiki.citius.gal/hiperespectral:hyfm-reg?rev=1510307278&amp;do=diff</link>
            <description>Fourier–Mellin registration of two hyperspectral images (HYFM)

Experimental results related to the paper Fourier-Mellin registration of two hyperspectral images by Álvaro Ordóñez, Francisco Argüello, and Dora B. Heras, published in International Journal of Remote Sensing.

Abstract

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 ta…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 10 Nov 2017 09:47:58 +0000</pubDate>
        </item>
        <item>
            <title>hyperview</title>
            <link>http://wiki.citius.gal/hiperespectral:hyperview?rev=1510306385&amp;do=diff</link>
            <description>HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing

This is a repository of supplementary information related to the paper entitled “HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing” published in</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 10 Nov 2017 09:33:05 +0000</pubDate>
        </item>
        <item>
            <title>sae-cd</title>
            <link>http://wiki.citius.gal/hiperespectral:sae-cd?rev=1522746024&amp;do=diff</link>
            <description>STACKED AUTOENCODERS FOR MULTICLASS CHANGE DETECTION IN HYPERSPECTRAL IMAGES

Experimental results and addictional information related to the paper “STACKED AUTOENCODERS FOR MULTICLASS CHANGE DETECTION IN HYPERSPECTRAL IMAGES”, accepted in the International Geoscience and Remote Sensing Symposium, IGARSS 2018.</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 03 Apr 2018 09:00:24 +0000</pubDate>
        </item>
        <item>
            <title>split_and_merge</title>
            <link>http://wiki.citius.gal/hiperespectral:split_and_merge?rev=1462976188&amp;do=diff</link>
            <description>The Split-And-Merge Method in General Purpose Computation on GPUs

Code related to the paper The split-and-merge method in general purpose computation on GPUs by F. Argüello, D.B. Heras, M. Bóo, and J. Lamas-Rodríguez, published in Parallel Computing, Volume 38, Issues 6-7, June-July 2012, Pages 277-288. 

DOI: 10.1016/j.parco.2012.03.003</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 11 May 2016 14:16:28 +0000</pubDate>
        </item>
        <item>
            <title>start</title>
            <link>http://wiki.citius.gal/hiperespectral:start?rev=1464681517&amp;do=diff</link>
            <description>Páxina principal do espazo colaborativo Hiperespectrais

[nons]

Permisos de acceso

Acceso de lectura/escritura limitado a:

	*  Dora Blanco Heras (master)
	*  Jorge Alberto Suárez Garea
	*  Javier López Fandiño
	*  Pablo Quesada Barriuso
	*  Francisco Argüello Pedreira</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 31 May 2016 07:58:37 +0000</pubDate>
        </item>
        <item>
            <title>wt-emp-gpu</title>
            <link>http://wiki.citius.gal/hiperespectral:wt-emp-gpu?rev=1462976228&amp;do=diff</link>
            <description>Wavelet Based Classification of Hyperspectral Images using Extended Morphological Profiles on Graphics Processing Units

Additional information and results related to the paper Wavelet Based Classification of Hyperspectral Images using Extended Morphological Profiles on Graphics Processing Units by Pablo Quesada-Barriuso, Francisco Argüello, Dora B. Heras, and Jón Atli Benediktsson, published in the</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 11 May 2016 14:17:08 +0000</pubDate>
        </item>
        <item>
            <title>wtss-emp</title>
            <link>http://wiki.citius.gal/hiperespectral:wtss-emp?rev=1472034100&amp;do=diff</link>
            <description>WTSS-EMP

Experimental results related to the paper Exploring the Impact of Wavelet-based Denoising in the Classification of 
Remote Sensing Hyperspectral Images by Pablo Quesada-Barriuso, Dora B. Heras and Francisco Argüello, 
published in the SPIE Remote Sensing Conference (2016).

Abstract</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Wed, 24 Aug 2016 10:21:40 +0000</pubDate>
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