Texture analysis for the segmentation of sugar cane multispectral images

In this paper is presented an analysis of the impact of texture features for segmentation of multispectral aerial images of sugar cane. Currently there are no precise techniques to estimate objectively areas of fallen cane and this causes significant losses in crop productivity and industrialization...

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Detalles Bibliográficos
Autores principales: Solano, Agustin, Schneider, Gerardo, Kemerer, Alejandra, Hadad, Alejandro Javier
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
Ciencias Agrarias
sugar cane
multiespectral images
texture features
principal components analysis
Image databases
decision trees
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/41995
http://43jaiio.sadio.org.ar/proceedings/CAI/8.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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