Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study
| Autor: | Ricardo da Silva Torres, Guerric Le Maire, Rubens Augusto Camargo Lamparelli, Danielle Dias, Nathalia Menini, Ulisses Dias |
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| Přispěvatelé: | University of Campinas [Campinas] (UNICAMP), Universidade Estadual de Campinas (UNICAMP), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Norwegian University of Science and Technology [Gjøvik] (NTNU), Norwegian University of Science and Technology (NTNU) |
| Rok vydání: | 2020 |
| Předmět: |
Télédétection
Computer science Plantations Feature extraction 0211 other engineering and technologies Time series analysis Imagerie par satellite 02 engineering and technology [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestry K01 - Foresterie - Considérations générales image representation Electrical and Electronic Engineering Time series 021101 geological & geomatics engineering Gramian matrix Vegetation mapping Eucalyptus pixelwise image classification Series (mathematics) Contextual image classification U10 - Informatique mathématiques et statistiques business.industry Deep learning Image coding Pattern recognition Remote sensing Classification Geotechnical Engineering and Engineering Geology Feature (computer vision) Task analysis Artificial intelligence time series U30 - Méthodes de recherche business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Analyse de séries chronologiques Analyse d'image |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2020, 17 (8), pp.1450-1454. ⟨10.1109/LGRS.2019.2946951⟩ |
| ISSN: | 1558-0571 1545-598X |
| Popis: | Pixelwise image classification based on time series profiles has been very effective in several applications. In this letter, we investigate recently proposed image-based time series encoding approaches [e.g., Gramian angular summation field/Gramian angular difference field (GASF/GADF) and Markov transition field (MTF)] to support the identification of eucalyptus regions in remote sensing images. We perform a comparative study concerning the combination of image-based representations suitable for encoding the most important time series patterns with the ability of state-of-the-art deep-learning-based approaches for characterizing image visual properties. The comparative study demonstrates that the evaluated image representations, combined with different deep learning feature extractors lead to highly effective classification results, which are superior to those of recently proposed methods for time-series-based eucalyptus plantation detection. |
| Databáze: | OpenAIRE |
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