Knowledge Management System Of Institute of Earth Environment, CAS
Target detection of hyperspectral image based on spectral saliency | |
Zhang, XR (Zhang, Xiaorong)1,1,2; Pan, ZB (Pan, Zhibin)1; Hu, BL (Hu, Bingliang)2; Zheng, X (Zheng, Xi)3; Liu, WH (Liu, Weihua)2 | |
通讯作者 | Zhang, Xiaorong(zhangxiaorong@opt.ac.cn) |
2019-02-07 | |
发表期刊 | IET IMAGE PROCESSING |
ISSN | 1751-9659 |
卷号 | 13期号:2页码:316-322 |
产权排序 | 4 |
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. |
关键词 | hyperspectral imaging object detection remote sensing geophysical image processing hyperspectral image remote sensing unsupervised target detection spectral saliency target detection HSI set spectral matching algorithm SSD algorithm |
DOI | 10.1049/iet-ipr.2017.1173 |
关键词[WOS] | EFFECTIVE FEATURE-EXTRACTION ; ANOMALY DETECTION |
收录类别 | SCI ; SCIE |
语种 | 英语 |
资助项目 | West Light Foundation of the Chinese Academy of Sciences[XAB2016B20] |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
项目资助者 | West Light Foundation of the Chinese Academy of Sciences |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000459477400011 |
出版者 | INST ENGINEERING TECHNOLOGY-IET |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ieecas.cn/handle/361006/10955 |
专题 | 黄土与第四纪地质国家重点实验室(2010~) |
作者单位 | 1.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China; 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China; 3.Chinese Acad Sci, Inst Earth Environm, Xian 710061, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, XR ,Pan, ZB ,Hu, BL ,et al. Target detection of hyperspectral image based on spectral saliency[J]. IET IMAGE PROCESSING,2019,13(2):316-322. |
APA | Zhang, XR ,Pan, ZB ,Hu, BL ,Zheng, X ,&Liu, WH .(2019).Target detection of hyperspectral image based on spectral saliency.IET IMAGE PROCESSING,13(2),316-322. |
MLA | Zhang, XR ,et al."Target detection of hyperspectral image based on spectral saliency".IET IMAGE PROCESSING 13.2(2019):316-322. |
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