Title :
The 𝒢0A distribution as the true model for SAR images
Author :
Jacobo-Berlles, Julio ; Mejail, Marta E. ; Frery, Alejandro C.
Author_Institution :
Dept. de Comput., Buenos Aires Univ., Argentina
Abstract :
For many synthetic aperture radar (SAR) sensors, urban areas, forests and pasture areas have a growing degree of homogeneity, and for each one of these region types there is a distribution class that fits the data best. In this paper, the feasibility of using the 𝒢0 A distribution as a general model is studied, and the practical usefulness of this proposal is shown. The 𝒢0 A distribution is adopted as the true model, and its locally estimated parameters are used for classification of synthetic and real SAR images
Keywords :
image classification; probability; radar imaging; radar theory; statistics; synthetic aperture radar; terrain mapping; 𝒢0A distribution; SAR images; SAR sensors; data fitting; distribution class; forests; image classification; locally estimated parameters; pasture areas; region types; synthetic aperture radar; terrain homogeneity; urban areas; Parameter estimation; Proposals; Synthetic aperture radar; Urban areas;
Conference_Titel :
Computer Graphics and Image Processing, 1999. Proceedings. XII Brazilian Symposium on
Conference_Location :
Campinas
Print_ISBN :
0-7695-0481-7
DOI :
10.1109/SIBGRA.1999.805742
