Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Optimizing Panchromatic Image Change Detection Based on Change Index Multiband Image Analysis
Year:2015
Research Areas
  • Remote sensing,
  • Image processing
Information
Abstract
This work proposes an optimization of a semi-supervised Change Detection methodology based on a combination of Change Indices (CI) derived from an image multitemporal data set. For this purpose, SPOT 5 Panchromatic images with 2.5 m spatial resolution have been used, from which three Change Indices have been calculated. Two of them are usually known indices; however the third one has been derived considering the Kullbak-Leibler divergence. Then, these three indices have been combined forming a multiband image that has been used in as input for a Support Vector Machine (SVM) classifier where four different discriminant functions have been tested in order to differentiate between change and no_change categories. The performance of the suggested procedure has been assessed applying different quality measures, reaching in each case highly satisfactory values. These results have demonstrated that the simultaneous combination of basic change indices with others more sophisticated like the Kullback-Leibler distance, and the application of non-parametric discriminant functions like those employees in the SVM method, allows solving efficiently a change detection problem.
International
Si
JCR
Si
Title
Ieee Latin America Transactions
ISBN
1548-0992
Impact factor JCR
0,186
Impact info
Datos JCR del año 2013
Volume
13
Journal number
3
From page
870
To page
875
Month
MARZO
Ranking
Participants
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
  • Autor: Agueda Arquero Hidalgo (UPM)
  • Autor: Iñigo Molina Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Geovisualización, Espacios Singulares y Patrimonio
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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