Paper Info
Title
Discontinuity adaptive MRF model for the analysis of synthetic aperture radar images
Abstract
In this paper, a novel approach is presented for the segmentation of synthetic aperture radar (SAR) images. The method integrates the gamma distribution, appropriate for SAR data, in an objective function that exploits the discontinuity adaptive MRF model proposed by Li (1995). After a straightforward initialization routine that computes for each class the mean intensity value, the objective function is minimized using deterministic relaxation. Results are shown on real-world data.
Year
DOI
Venue
1997
10.1109/ICIP.1997.648094
ICIP (1)
Keywords
Field
DocType
real-world data,novel approach,gamma distribution,sar data,discontinuity adaptive mrf model,deterministic relaxation,objective function,synthetic aperture radar image,straightforward initialization routine,mean intensity value,synthetic aperture radar,image segmentation,geometry,adaptive signal processing,image sensors,random processes,radar imaging,image processing,speckle,markov processes,spatial resolution,image analysis,labeling,image resolution
Computer vision,Radar imaging,Synthetic aperture radar,Computer science,Segmentation,Discontinuity (linguistics),Image segmentation,Adaptive filter,Artificial intelligence,Initialization,Gamma distribution
Conference
ISBN
Citations 
PageRank 
0-8186-8183-7
2
0.66
References 
Authors
2
2
Name
Order
Citations
PageRank
P. C. Smits111517.06
S. G. Dellepiane2759.19