Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
A machine learning approach for agricultural parcel delimitation through agglomerative segmentation
Year:2015
Research Areas
  • Agriculture,
  • Remote sensing,
  • Processing and signal analysis
Information
Abstract
In this work, a methodology to automatically delineate agricultural parcels is proposed. It combines superpixel and supervised classification in order to determine which adjacent superpixel should be merged, transforming the segmentation issue into a machine learning matter. Results of the methodology applied to two areas of a high-resolution satellite image of fragmented agricultural landscape are shown.
International
Si
European Remote Sensing: Progress, Challenges and
Book Edition
1
Book Publishing
IOS PRESS
ISBN
00-0000-0000
Series
European Association of Remote Sensing Laboratories Proceedings
Book title
European Remote Sensing: Progress, Challenges and Opportunities
From page
68
To page
73
Participants
  • Autor: Angel Mario García Pedrero (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Mario Fernando Lillo Saavedra (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 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)