DocumentCode :
714420
Title :
Superpixel-based classification of SAR images
Author :
Arisoy, Sertac ; Kayabol, Koray
Author_Institution :
Elektron. Muhendisligi Bolumu, Gebze Teknik Univ., Gebze, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
783
Lastpage :
786
Abstract :
We propose a superpixel-based classification method for finding area such as urban, land, lake etc. in SAR image. For classification, we use superpixel histograms as features. We compare the results of state-of-the-art superpixel methods with the one of recently proposed SAR image specific superpixel method. The test results obtained from a real TerraSAR-X image show that the SAR image specific method outperforms the state-of-the-art ones.
Keywords :
feature extraction; image classification; image resolution; radar imaging; synthetic aperture radar; SAR images; TerraSAR-X image; superpixel histograms; superpixel methods; superpixel-based classification method; Computer vision; Image segmentation; Nakagami distribution; Radar imaging; Remote sensing; Synthetic aperture radar; SAR image; Superpixel classification; finite mixture models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7129945
Filename :
7129945
Link To Document :
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