Publication
Title
SAR image segmentation using region growing and spectral cluster
Author
Abstract
In this paper a new method based on Region Growing (RG) and Spectral Cluster (SC) for segmentation of synthetic aperture radar (SAR) images is introduced. In the proposed method first RG is applied to the SAR images in order to find the edge and then segmentation is done using SC method. The proposed method (RG+SC) is compared with some state-of-the-art segmentation algorithms on real SAR image. Obtained results show the efficiency of the proposed approach.
Language
English
Source (journal)
2017 3RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (IPRIA)
Source (book)
3rd International Conference on Pattern Analysis and Image Analysis, (IPRIA), APR 19-20, 2017, Shahrekord Univ, Faculty Technol & Eng, Shahrekord Univ, Faculty Technol & Eng, Shahrekord, IRAN
Publication
New york : Ieee , 2017
ISBN
978-1-5090-6454-0
978-1-5090-6454-0
DOI
10.1109/PRIA.2017.7983052
Volume/pages
(2017) , p. 229-232
ISI
000426933500041
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 29.03.2018
Last edited 17.06.2024
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