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Remote sensing image processing with graph cut of binary partition trees

Author
Salembier, P.; Foucher, S.
Type of activity
Presentation of work at congresses
Name of edition
IV International Research and Academic Congress
Date of publication
2014
Presentation's date
2014-04-09
Book of congress proceedings
Research in Computing Science: Advances in Computing Science, Control and Communications: vol. 69, 2014
First page
185
Last page
196
Publisher
Instituto Politécnico Nacional
Repository
http://hdl.handle.net/2117/85904 Open in new window
Abstract
This paper discusses the interest of hierarchical region-based representations of images such as Binary Partition Trees (BPTs) and the usefulness of graph cut to process them. BPTs can be considered as an initial abstraction from the signal in which raw pixels are grouped by similarity to form regions, which are hierarchically structured by inclusion in a tree. They provide multiple resolutions of description and easy access to subsets of regions. Their construction is often based on ...
Citation
Salembier, P., Foucher, S. Remote sensing image processing with graph cut of binary partition trees. A: International Research and Academic Congress. "Research in Computing Science: Advances in Computing Science, Control and Communications: vol. 69, 2014". Tijuana: Instituto Politécnico Nacional, 2014, p. 185-196.
Keywords
Binary partition tree, Graph cut, PolSAR images, Pruning, Super-pixel partition
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants