Menini Nathalia, Almeida Alexandre E., Lamparelli Rubens Augusto Camargo, Le Maire Guerric, dos Santos Jefersson A., Pedrini Helio, Hirota Marina, Torres Ricardo da S.. 2019. A soft computing framework for image classification based on recurrence plots. IEEE Geoscience and Remote Sensing Letters, 16 (2) : 320-324.
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Quartile : Q1, Sujet : GEOCHEMISTRY & GEOPHYSICS / Quartile : Q1, Sujet : ENGINEERING, ELECTRICAL & ELECTRONIC / Quartile : Q2, Sujet : IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY / Quartile : Q2, Sujet : REMOTE SENSING
Résumé : Suitable time series representations play an important role in classification tasks. In this letter, we investigate the use of recurrence-plot-(RP)-based representations in the classification of eucalyptus regions in remote sensing images. The proposed framework is composed of three steps. First, time series associated with image pixels are represented by RP images; next, RP images are characterized by means of visual description approaches; finally, we use a soft computing framework based on genetic programing to discover an effective combination of time series dissimilarity functions to combine extracted features. Performed experiments in a eucalyptus classification problem demonstrated that the proposed framework is effective when compared to approaches based on the use of time series itself.
Mots-clés Agrovoc : télédétection, Eucalyptus, classification, logiciel, imagerie par satellite
Classification Agris : F30 - Génétique et amélioration des plantes
K10 - Production forestière
Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité
Auteurs et affiliations
- Menini Nathalia, UNICAMP (BRA) - auteur correspondant
- Almeida Alexandre E., UNICAMP (BRA)
- Lamparelli Rubens Augusto Camargo, UNICAMP (BRA)
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Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (BRA)
ORCID: 0000-0002-5227-958X
- dos Santos Jefersson A., UFMG (BRA)
- Pedrini Helio, UNICAMP (BRA)
- Hirota Marina, UDESC (BRA)
- Torres Ricardo da S., UNICAMP (BRA)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/589936/)
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