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dc.contributor.authorHerrera, Lucas
dc.contributor.authorAuccahuasi, Wilver
dc.contributor.authorRojas, Karin
dc.contributor.authorUrbano, Kitty
dc.contributor.authorCuzcano, Abilio
dc.contributor.authorDel Carpio, Jorge
dc.contributor.authorFlores, Edward
dc.contributor.authorFlores, Pedro
dc.contributor.authorBenites, Nicanor
dc.contributor.authorZamalloa, Leonidas
dc.contributor.authorSernaque, Fernando
dc.date.accessioned2023-10-18T23:15:24Z
dc.date.available2023-10-18T23:15:24Z
dc.date.issued2023-04-04
dc.identifier.citationHerrera, L., Auccahuasi, W., Rojas, K., Urbano, K., Cuzcano, A., Del Carpio, J., Flores, E., Flores, P., Benites, N., Zamalloa, L., & Sernaque, F. (2023). Method to classify vegetation cover using satellite images and artificial intelligence. AIP Conference Proceedings, 2725(1), 050005. https://doi.org/10.1063/5.0125500es_PE
dc.identifier.other.es_PE
dc.identifier.urihttps://hdl.handle.net/11537/34623
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.es_PE
dc.description.abstractSpace technology is being used with greater emphasis in monitoring land cover, where the use of satellite images is used to analyze large areas of land, we can find optical satellite images that cover large areas of land, we present a methodology to be able to classify areas of vegetation cover present in the cadastre by means of satellite images, the classification is carried out by analyzing the chromatic characteristics that are extracted from the images. For which, two groups of images are created, corresponding to areas with the presence of vegetation and no vegetation. For the classification, the Matlab tool was used, from where a neural network was implemented to perform the classification, as well as a user interface for the use, manipulation and classification of the image, the results allow evaluating through the user interface of such that the neural network will be able to classify it.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherAmerican Institute of Physicses_PE
dc.rightsinfo:eu-repo/semantics/closedAccesses_PE
dc.sourceUniversidad Privada del Nortees_PE
dc.sourceRepositorio Institucional - UPNes_PE
dc.subjectMATLABes_PE
dc.subjectArtificial intelligencees_PE
dc.subjectArtificial neural networkses_PE
dc.subjectSpace technologyes_PE
dc.subjectUser interfaceses_PE
dc.subjectCommunication satelliteses_PE
dc.titleMethod to classify vegetation cover using satellite images and artificial intelligencees_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.publisher.countryPEes_PE
dc.identifier.journalAIP Conference Proceedingses_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.description.sedeChorrilloses_PE
dc.identifier.doihttps://doi.org/10.1063/5.0125500


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