DER: Dynamic Evidential Reasoning applied to hyperspectral images classification

This paper describes a new classification method (DER) based on evidential reasoning to which a series of modifications are added [1]. DER allows including new evidence for the classification process and defines a different decision rule. The evidential reasoning algorithm provides a means to combin...

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Detalles Bibliográficos
Autores principales: Sanz, Cecilia Verónica, Jordán, Ramiro
Formato: Articulo
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
Image processing software
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9430
http://journal.info.unlp.edu.ar/wp-content/uploads/p21.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9430
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Image processing software
spellingShingle Ciencias Informáticas
Image processing software
Sanz, Cecilia Verónica
Jordán, Ramiro
DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
topic_facet Ciencias Informáticas
Image processing software
description This paper describes a new classification method (DER) based on evidential reasoning to which a series of modifications are added [1]. DER allows including new evidence for the classification process and defines a different decision rule. The evidential reasoning algorithm provides a means to combine evidence from different data sources. It is a supervised classification technique that uses a training samples set. This novel method (DER) offers a learning stage to introduce new evidence in case the classifier requires so. Moreover, it uses the plausibility measure in order to define the decision rule as a way to incorporate data-associated uncertainty. The proposed method is applied in order to classify crops in hyperspectral images of the area of Nebraska (USA). Some results obtained are presented in order to assess DER precision.
format Articulo
Articulo
author Sanz, Cecilia Verónica
Jordán, Ramiro
author_facet Sanz, Cecilia Verónica
Jordán, Ramiro
author_sort Sanz, Cecilia Verónica
title DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
title_short DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
title_full DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
title_fullStr DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
title_full_unstemmed DER: Dynamic Evidential Reasoning applied to hyperspectral images classification
title_sort der: dynamic evidential reasoning applied to hyperspectral images classification
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/9430
http://journal.info.unlp.edu.ar/wp-content/uploads/p21.pdf
work_keys_str_mv AT sanzceciliaveronica derdynamicevidentialreasoningappliedtohyperspectralimagesclassification
AT jordanramiro derdynamicevidentialreasoningappliedtohyperspectralimagesclassification
bdutipo_str Repositorios
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