Hyperspectral Target Detection - An Experimental Study

被引：0

作者：

Gunyel, Bertan ^{[1
]}

Cinbis, Ramazan Gokberk ^{[1
]}

Ture, Sedat ^{[1
]}

Gurbuz, Ali Cafer ^{[2
]}

机构：

[1] Milsoft Yazilim Teknol, Ankara, Turkey

[2] TOBB Ekon & Teknol Univ, Elekt Elekt Muhendisligi Bolumu, Ankara, Turkey

来源：

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

关键词：

hyperspectral target detection; spectral signature; machine learning; DETECTION ALGORITHMS;

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：

In hyperspectral imaging, the measured spectra are affected by the materials and objects that reside within or in close vicinity of the pixel which is being imaged. The detection of a material or object of interest in an imaged region is a common problem in various application areas. In this work, an experimental study is performed for target detection in hyperspectral images, supported by a performance comparison.

引用

页码：2627 / 2630

页数：4

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