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dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ | es_ES |
dc.creator | Cicerchia, Lucas Benjamín | es_ES |
dc.creator | Russo, Claudia | es_ES |
dc.creator | Abasolo, María José | es_ES |
dc.date.accessioned | 2021-07-27T12:45:49Z | |
dc.date.available | 2021-07-27T12:45:49Z | |
dc.date.issued | 2020-10-24 | |
dc.identifier.citation | Cicerchia, L; Russo, C.; Abasolo, M.J. (2020). Classification of summer crops using Active Learning techniques on Landsat images in the Northwest of the Province of Buenos Aires (Jornadas de Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET) - UNLP; 7 al 11 de septiembre de 2020. La Plata). ISBN: 978-3-030-61218-4. DOI: https://doi.org/10.1007/978-3-030-61218-4_10. | es_ES |
dc.identifier.isbn | 978-3-030-61218-4 | es_ES |
dc.identifier.uri | https://repositorio.unnoba.edu.ar/xmlui/handle/23601/151 | |
dc.description.abstract | The present work aims to obtain a classifier for summer crops in the northwest of Buenos Aires province from Landsat satellite images. Active Learning (AL) was used as the classification technique since it obtains satisfactory results using a small set of labeled samples to train the algorithm. The construction of the training set is iteratively performed by means of a heuristic for the selection of the unlabeled samples to be classified by an expert. The following heuristics were used for comparison: Breaking Ties, Multiclass Level Uncertainty, Margin Sampling, and Random Sampling. The algorithm was also compared with the supervised technique Support Vector Machine (SVM). The experiments were tested on three Landsat 8 images from different dates using 6 bands per image and various vegetation indices. The results obtained using AL in combination with the different heuristics do not differ substantially from SVM. | es_ES |
dc.description.sponsorship | Fil: Cicerchia, Lucas Benjamín. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) – (Centro CICPBA); Argentina | es_ES |
dc.description.sponsorship | Fil: Russo, Claudia. Universidad Nacional del Noroeste de la Provincia de Buenos. Instituto de Investigación y Transferencia en Tecnología (ITT) – (Centro CICPBA); Argentina | es_ES |
dc.description.sponsorship | Fil: Abasolo, María José, Commission of Scientific Research of the Buenos Aires Province (CICPBA)Buenos Aires. III-LIDI, Faculty of InformaticsNational University of La Plata (UNLP)La Plata; Argentina | es_ES |
dc.format | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer, Cham. | es_ES |
dc.rights | info:eu-repo/semantics/closedAccess | es_ES |
dc.source | JCC-BD&ET 2020: Cloud Computing, Big Data & Emerging Topics | es_ES |
dc.subject | Active learning | es_ES |
dc.subject | Cropland classification | es_ES |
dc.subject | Land cover classification | es_ES |
dc.subject | Remote sensing | es_ES |
dc.subject | Multispectral Image | es_ES |
dc.subject | Big data | es_ES |
dc.title | Classification of summer crops using Active Learning techniques on Landsat images in the Northwest of the Province of Buenos Aires | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.type | info:ar-repo/semantics/artículo | es_ES |
dc.type | info:eu-repo/semantics/publishedVersion | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.type | info:ar-repo/semantics/artículo | es_ES |
dc.type | info:eu-repo/semantics/publishedVersion | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.type | info:ar-repo/semantics/artículo | es_ES |
dc.type | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.version | Con referato | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-61218-4_10 | es_ES |
dc.contributor.orcid | 0000-0003-0316-7896 | es_ES |
dc.contributor.orcid | 0000-0002-0345-4783 | es_ES |
dc.contributor.orcid | 0000-0003-4441-3264 | es_ES |