Modelling and simulation of bidimensional processes for remote sensing applications

Author

Conte, E. ; Bisceglie, M. Di ; Galdi, C.

Author_Institution

Dipartimento di Ingegneria Elettrica, Naples Univ., Italy

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1993

Abstract

Stochastic simulation of the sea surface as imaged by a remote sensing system is considered. The sensed image is modelled as a compound random field with K distributed amplitude and arbitrary correlation properties. Texture simulation is obtained by resorting to the infinite divisibility of the gamma distribution. Theoretical analysis shows that some limitations exist for the maximum correlation coefficient which can be prescribed to the generated field. First and second-order statistics of sample images have been measured and ergodic properties have been validated

Keywords

image texture; oceanographic techniques; probability; remote sensing; K-distributed amplitude; arbitrary correlation properties; bidimensional processes; compound random field; ergodic properties; first-order statistics; gamma distribution; infinite divisibility; maximum correlation coefficient; remote sensing applications; sea surface; second-order statistics; stochastic simulation; texture simulation; Aging; Classification algorithms; Clustering algorithms; Fluctuations; Integrated circuit modeling; Remote sensing; Sea surface; Shape; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322364

Filename

322364