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A graph-based approach to detect spatiotemporal dynamics in satellite image time series

Autor
Guttler, F.; Lenco, D.; Nin, J.; Teisseire, M.; Poncelet, P.
Tipus d'activitat
Article en revista
Revista
ISPRS journal of photogrammetry and remote sensing
Data de publicació
2017-08-01
Volum
130
Pàgina inicial
92
Pàgina final
107
DOI
https://doi.org/10.1016/j.isprsjprs.2017.05.013 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0924271616306396?via%3Dihub Obrir en finestra nova
Resum
Enhancing the frequency of satellite acquisitions represents a key issue for Earth Observation community nowadays. Repeated observations are crucial for monitoring purposes, particularly when intra-annual process should be taken into account. Time series of images constitute a valuable source of information in these cases. The goal of this paper is to propose a new methodological framework to automatically detect and extract spatiotemporal information from satellite image time series (SITS). Exi...
Paraules clau
Data mining, Graph-based techniques, Land-cover, Monitoring, OBIA, Satellite image time series

Participants

  • Guttler, Fabio  (autor)
  • Lenco, Dino  (autor)
  • Nin, Jordi  (autor)
  • Teisseire, Maguelonne  (autor)
  • Poncelet, Pascal  (autor)