Superpixel-based classification of SAR images

被引：0

作者：

Arisoy, Sertac ^{[1
]}

Kayabol, Koray ^{[1
]}

机构：

[1] Gebze Tekn Univ, Elekt Muhendisligi Bolumu, Gebze, Turkey

来源：

2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年

关键词：

Superpixel classification; SAR image; finite mixture models; SEGMENTATION; AMPLITUDE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：783 / 786

页数：4

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