Target detection of hyperspectral imagebased on spectral saliency
文献类型：期刊论文
| 作者 | Pan,ZB(Pan, Zhibin)2; Hu, BL(Hu, Bingliang)1; Liu, WH(Liu,Weihua)1; Zhang, Xiaorong; Zheng,X(Zheng,Xi)4; Zhang, XR(Zhang, Xiaorong)2,3 |
| 刊名 | IET Image Processing
 |
| 出版日期 | 2018-02 |
| 期号 | 2018 |
| DOI | 10.1049/iet-ipr.2017.1173 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Target detection of hyperspectral image (HSI) is a research hotspot in the field of remote sensing. It is of particular importance in many domains, especially in military application. Unsupervised target detection is usually more difficult because there is no prior information about target. Traditional algorithms exploit spectral information, only. This study introduces the idea of saliency detection from the visual technique into HSI processing domain and proposes a novel approach named spectral saliency target detection (SSD). It establishes a novel salient model, which utilises both spatial saliency and spectral saliency. In the framework of SSD, it combines the model with spectral matching algorithm to make it perform well even in situations where the target is concealed and small. A HSI set comprised of eight different scenes with complex background is setup to evaluate the performance of the proposed algorithm. The final visible detection results demonstrate that the SSD algorithm outperforms the others. The receiver operation characteristic (ROC) curve and area under the ROC curve are applied to evaluate the results. The proposed algorithm shows superior and stable performance. |
| 项目编号 | XAB2016B20 |
| 语种 | 英语 |
| 资助机构 | West Light Foundation ofthe Chinese Academy of Sciences ; West Light Foundation ofthe Chinese Academy of Sciences |
| 源URL | [http://ir.ieecas.cn/handle/361006/5302]  |
| 专题 | 地球环境研究所_黄土与第四纪地质国家重点实验室（2010~） |
| 通讯作者 | Zhang, Xiaorong |
| 作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an 710119, People's Republic of China 2.School of Electronic & Information Engineering, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China 3.University of Chinese Academy of Sciences, Beijing 100039, People's Republic of China 4.Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, People's Republic of China |
| 推荐引用方式 GB/T 7714 | Pan,ZB,Hu, BL,Liu, WH,et al. Target detection of hyperspectral imagebased on spectral saliency[J]. IET Image Processing,2018(2018). |
| APA | Pan,ZB,Hu, BL,Liu, WH,Zhang, Xiaorong,Zheng,X,&Zhang, XR.(2018).Target detection of hyperspectral imagebased on spectral saliency.IET Image Processing(2018). |
| MLA | Pan,ZB,et al."Target detection of hyperspectral imagebased on spectral saliency".IET Image Processing .2018(2018). |
入库方式： OAI收割
来源：地球环境研究所
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