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Automated classification of crop types and condition in a mediterranean area using a fine-tuned convolutional neural network

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Automated classification of crop types and condition in a mediterranean area using a fine-tuned convolutional neural network

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Ruiz Fernández, LÁ.; Almonacid-Caballer, J.; Crespo-Peremarch, P.; Recio Recio, JA.; Pardo Pascual, JE.; Sánchez-García, E. (2020). Automated classification of crop types and condition in a mediterranean area using a fine-tuned convolutional neural network. ISPRS. 1061-1068. https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1061-2020

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Title: Automated classification of crop types and condition in a mediterranean area using a fine-tuned convolutional neural network
Author: Ruiz Fernández, Luis Ángel Almonacid-Caballer, J. Crespo-Peremarch, P. Recio Recio, Jorge Abel Pardo Pascual, Josep Eliseu Sánchez-García, Elena
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Crop classification based on satellite and aerial imagery is a recurrent application in remote sensing. It has been used as input for creating and updating agricultural inventories, yield prediction and land management. ...[+]
Subjects: Crop classification , Convolutional neural network , VGG-19 , Crop abandonment , Orthoimages
Copyrigths: Reconocimiento (by)
Source:
XXIV ISPRS Congress, 2020 edition, Commission II. (issn: 2194-9034 )
DOI: 10.5194/isprs-archives-XLIII-B3-2020-1061-2020
Publisher:
ISPRS
Publisher version: https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1061-2020
Conference name: XXIV Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2020)
Conference place: Online
Conference date: Agosto 31-Septiembre 02,2020
Project ID:
info:eu-repo/grantAgreement/GVA//S847000/
Thanks:
This research has been funded by the Conselleria d'Agricultura, Medi Ambient, Canvi Climàtic i Desenvolupament Rural, Generalitat Valenciana, throught the nominative line S847000. The authors also thank the Institut ...[+]
Type: Comunicación en congreso Artículo

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