Hyperspectral Image Segmentation Using Normalized Cuts

被引：0
|
作者：
Torun, Orhan [1 ,2 ]
Yuksel, Seniha Esen [1 ]
机构：
[1] Hacettepe Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey
[2] TOBITAK BILGEM ILTAREN, Ankara, Turkey
来源：
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年
关键词：
hyperspectral image; spectral-spatial segmentation; graph; normalized cuts;
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：
The segmentation of hyperspectral images based on spatial and spectral information is being used in many fields from target detection to classification. In this paper, the normalized cuts algoritm is extended for the segmentation of hyperspectral images. The affinity matrix of the normalized cuts algorithm is modified such that it uses both the spatial and spectral information. The effect of the parameters on the segmentation results is investigated, and it is shown that with proper parameter selection, the proposed method can segment the spectrally similar materials, and also extract the targets that we are after.
引用
收藏
页码：1717 / 1720
页数：4
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