DocumentCode
2909386
Title
Meta features for remote sensing image content indexing
Author
Seidel, Klaus ; Schröder, Michael ; Rehrauer, Hubert ; Datcu, Mihai
Author_Institution
Commun. Technol. Lab., Fed. Inst. of Technol., Zurich, Switzerland
Volume
2
fYear
1998
fDate
6-10 Jul 1998
Firstpage
1022
Abstract
In this paper we present a general formalism to model several levels of meta information on spatial content. In particular, we expand on a two-level procedure of Bayesian inference: model fitting and model selection. We study five cases of extraction of spatial information from remote sensing images using this scheme. In this way, we put together pieces of information obtained from different levels of interpretation of the original image data
Keywords
Bayes methods; geophysical signal processing; image processing; indexing; inference mechanisms; remote sensing; Bayesian inference; extraction; image data; meta features; model fitting; model selection; remote sensing image content indexing; spatial content; spatial information; two-level procedure; Bayesian methods; Communications technology; Data mining; Design for disassembly; Equations; Indexing; Mathematical model; Pixel; Remote sensing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.699660
Filename
699660
Link To Document