Paper Info
Title
Optimum Graph Cuts for Pruning Binary Partition Trees of Polarimetric SAR Images.
Abstract
This paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images. BPTs group pixels to form homogeneous regions, which are hierarchically structured by inclusion in a binary tree. They provide multiple resolutions of description and easy access to subsets...
Year
DOI
Venue
2016
10.1109/TGRS.2016.2566581
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Synthetic aperture radar,Merging,Covariance matrices,Speckle,Electromagnetic scattering,Image segmentation,Noise reduction
Cut,Synthetic aperture radar,Remote sensing,Image segmentation,Artificial intelligence,Binary number,Pruning,Computer vision,Pattern recognition,Segmentation,Binary tree,Pixel,Mathematics
Journal
Volume
Issue
ISSN
54
9
0196-2892
Citations 
PageRank 
References 
7
0.46
16
Authors
2
Name
Order
Citations
PageRank
Philippe Salembier160387.65
Samuel Foucher226130.62