A framework for the simulation of high temporal resolution image series

Author

Inglada, Jordi ; Hagolle, Olivier ; Dedieu, Gérard

Author_Institution

CNES, CESBIO, Toulouse, France

fYear

2011

fDate

24-29 July 2011

Firstpage

39

Lastpage

42

Abstract

This paper presents a general framework for the simulation of remote sensing image time series with spatial, textural, spectral and temporal realistic characteristics. The main goal of this work is to be able to produce data which is representative of the kind of images which will be acquired by future space Earth observation missions as for instance VENμS, Sentinel 2 or LDCM. This simulated data will be used for time series image analysis algorithm development and validation.

Keywords

geophysical image processing; image texture; remote sensing; time series; LDCM; Sentinel 2; VENμS; future space Earth observation mission; high temporal resolution image series; remote sensing image time series; spatial characteristics; spectral characteristics; temporal realistic characteristics; textural characteristics; time series image analysis algorithm; Atmospheric modeling; Biological system modeling; Data models; Sensors; Spatial resolution; Time series analysis;

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.2011.6048892

Filename

6048892