Title :
Sampling strategies for unsupervised classification of multitemporal high resolution optical images over very large areas
Author :
Rodes, I. ; Inglada, J. ; Hagolle, O. ; Dejoux, J.F. ; Dedieu, G.
Author_Institution :
CESBIO, Toulouse, France
Abstract :
Efficient unsupervised production of large-area land cover maps with the volumes of data to be generated by the forthcoming Earth observation missions is challenging in terms of computation costs and data variability. As a solution, introduction of non-spectral knowledge for data reduction and selection is proposed here. Analysis of intra-strata variability and inter-strata correlation for different stratified sampling approaches is presented, and valuable variables for both stratification and classification are identified.
Keywords :
geophysical image processing; image classification; image sampling; terrain mapping; Earth observation mission; computation cost; data reduction; data selection; data variability; interstrata correlation analysis; intrastrata variability analysis; multitemporal high resolution optical image; nonspectral knowledge; sampling strategy; stratified sampling approach; unsupervised classification; unsupervised large-area land cover map production; Agriculture; Correlation; Earth; Remote sensing; Satellites; Sociology;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352553