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dc.contributor.authorSuárez Garea, Jorge Alberto
dc.contributor.authorOrdóñez Iglesias, Álvaro
dc.contributor.authorBlanco Heras, Dora
dc.contributor.authorArgüello Pedreira, Francisco Santiago
dc.date.accessioned2018-12-05T08:29:04Z
dc.date.available2018-12-05T08:29:04Z
dc.date.issued2016
dc.identifier.citationGarea, A., Ordóñez, Á., Heras, D., & Argüello, F. (2016). HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing. International Journal Of Remote Sensing, 37(23), 5533-5550. doi: 10.1080/01431161.2016.1244363
dc.identifier.issn0143-1161
dc.identifier.urihttp://hdl.handle.net/10347/17880
dc.description.abstractIn 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 interface. Regarding the classification ability, the different classification schemes are implemented by using a chain structure as a base. It consists of five configurable stages that must be executed in a fixed order: preprocessing, spatial processing, pixel-wise classification, combination, and post-processing. The modular implementation makes its extension easy by adding new algorithms for each stage or new classification chains. The tool has been designed as a platform that is open to the incorporation of algorithms by the users interested in comparing classification schemes. As an example of use, a classification scheme based on the Quick Shift (QS) algorithm for segmentation and on Extreme Learning Machines (ELMs) or Support Vector Machines (SVMs) for classification is also proposed. The application is license-free, runs on the Linux operating system, and was developed in C language using the GTK library, as well as other free libraries to build the graphical user interfaces (GUIs)
dc.description.sponsorshipThis work was supported by the Xunta de Galicia, Programme for Consolidation of Competitive Research Groups [2014/008]; Ministry of Science and Innovation, Government of Spain, cofounded by the FEDER funds of European Union [TIN2013-41129-P]
dc.language.isoeng
dc.publisherTaylor & Francis
dc.rights© 2017 Taylor & Francis Group, LLC
dc.subjectTool
dc.subjectRemote sensing
dc.subjectClassification
dc.subjectRegistration
dc.subjectHyperspectral data
dc.titleHypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing
dc.typejournal article
dc.identifier.doi10.1080/01431161.2016.1244363
dc.relation.publisherversionhttps://doi.org/10.1080/01431161.2016.1244363
dc.type.hasVersionAM
dc.identifier.essn1366-5901
dc.rights.accessRightsopen access
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computación
dc.description.peerreviewedSI
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2013-41129-P/ES/SOLUCIONES HARDWARE Y SOFTWARE PARA LA COMPUTACION DE ALTAS PRESTACIONES


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