Polsar RADARSAT-2 Satellite Image Time Series mining over the Chamonix Mont-Blanc test site

Author

Julea, A. ; Ledo, F. ; Méger, N. ; Trouvé, E. ; Bolon, Ph ; Rigotti, C. ; Fallourd, R. ; Nicolas, J.-M. ; Vasile, G. ; Gay, M. ; Harant, O. ; Ferro-Famil, L. ; Lodge, F.

Author_Institution

Lab. d´´Inf., Syst., Traitement de l´´Inf. et de la Connaissance, Univ. de Savoie, Annecy-le-Vieux, France

fYear

2011

fDate

24-29 July 2011

Firstpage

1191

Lastpage

1194

Abstract

This paper presents a data mining approach for describing Satellite Image Time Series (SITS) spatially and temporally. It relies on pixel-based evolution and sub-evolution extraction. These evolutions, namely the {frequent grouped sequential patterns}, are required to cover a minimum surface and to affect pixels that are sufficiently connected. These spatial constraints are actively used to face large data volumes and to select evolutions making sense for end-users. In this paper, a specific application to fully polarimetric SAR image time series is presented. Experiments performed on a RADARSAT-2 SITS covering the Chamonix Mont Blanc test-site are used to illustrate the proposed approach.

Keywords

data mining; geophysical image processing; geophysical techniques; time series; Chamonix Mont-Blanc test site; POLSAR RADARSAT-2 satellite image time series; data mining approach; frequent grouped sequential pattern; fully polarimetric SAR image time series; pixel-based evolution extraction method; pixel-based subevolution extraction method; Data mining; Feature extraction; Image color analysis; Laboratories; Satellites; Scattering; Time series analysis; Data mining; Frequent grouped sequential patterns.; Polarimetric SAR images; Satellite Image Times Series (SITS);

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049411

Filename

6049411