Target detection of hyperspectral image based on spectral saliency

doi:10.1049/iet-ipr.2017.1173

IEECAS OpenIR > 黄土与第四纪地质国家重点实验室（2010~）

	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	被引频次：5[WOS] [WOS记录] [WOS相关记录]
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.