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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.699660
