Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Optimal Scale in a Hierarchical Segmentation Method for Satellite Images
Año:2014
Áreas de investigación
  • Neuroimagen,
  • Procesado y análisis de la señal,
  • Procesamiento de imágenes
Datos
Descripción
Even though images with high and very high spatial resolution exhibit higher levels of detailed features, traditional image processing algorithms based on single pixel analysis are often not capable of extracting all their information. To solve this limitation, object-based image analysis approaches (OBIA) have been proposed in recent years. One of the most important steps in the OBIA approach is the segmentation process; whose aim is grouping neighboring pixels according to some homogeneity criteria. Different segmentations will allow extracting different information from the same image in multiples scales. Thus, the major challenge is to determine the adequate scale segmentation that allows to characterize different objects or phenomena, in a single image. In this work, an adaptation of SLIC algorithm to perform a hierarchical segmentation of the image is proposed. An evaluation method consisting of an objective function that considers the intra-variability and inter-heterogeneity of the object is implemented to select the optimal size of each region in the image. The preliminary results show that the proposed algorithm is capable to detect objects at different scale and represent in a single image, allowing a better comprehension of the land-cover, their objects and phenomena.
Internacional
Si
DOI
10.1007/978-3-319-08729-0_36
Edición del Libro
8537
Editorial del Libro
Springer Link
ISBN
978-3-319-08728-3
Serie
Lecture Notes in Computer Science
Título del Libro
Rough Sets and Intelligent Systems Paradigms
Desde página
351
Hasta página
358
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: David Fonseca (Universidad de Concepción, Chile)
  • Autor: Angel Mario García Pedrero (UPM)
  • Autor: Mario Fernando Lillo Saavedra (UPM)
  • Autor: Roberto Costumero Moreno (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)