Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging

	Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging
	Yang, Bin 1; Yang, Minhua 1; Plaza, Antonio 1; Gao, Lianru 1; Zhang, Bing 1
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2015
卷号	8 期号:6(SI)页码:536-546
关键词	Field programmable gate arrays (FPGAs) hyperspectral imaging real-time processing streaming background statistics (SBS) target and anomaly detection
通讯作者	Zhang, B (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.
英文摘要	Target and anomaly detection are important techniques for remotely sensed hyperspectral data interpretation. Due to the high dimensionality of hyperspectral data and the large computational complexity associated to processing algorithms, developing fast techniques for target and anomaly detection has received considerable attention in recent years. Although several high-performance architectures have been evaluated for this purpose, field programmable gate arrays (FPGAs) offer the possibility of onboard hyperspectral data processing with low-power consumption, reconfigurability and radiation tolerance, which make FPGAs a relevant platform for hyperspectral processing. In this paper, we develop a novel FPGA-based technique for efficient target detection in hyperspectral images. The proposed method uses a streaming background statistics (SBS) approach for optimizing the constrained energy minimization (CEM) and Reed-Xiaoli (RX) algorithms, which are widely used techniques for target and anomaly detection, respectively. Specifically, these two algorithms are implemented in streaming fashion on FPGAs. Most importantly, we present a dual mode that implements a flexible datapath to decide in real time which one among these two algorithms should be used, thus allowing for the dynamic adaptation of the hardware to either target detection or anomaly detection scenarios. Our experiments, conducted with several well-known hyperspectral scenes, indicate the effectiveness of the proposed implementations.
研究领域[WOS]	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000359264000055
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38426]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Yang, Bin 2.Yang, Minhua] Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China 3.[Yang, Bin 4.Gao, Lianru 5.Zhang, Bing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 6.[Plaza, Antonio] Univ Extremadura, Dept Technol Comp & Commun, Hyperspectral Comp Lab, Caceres 10071, Spain
推荐引用方式 GB/T 7714	Yang, Bin,Yang, Minhua,Plaza, Antonio,et al. Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(6(SI)):536-546.
APA	Yang, Bin,Yang, Minhua,Plaza, Antonio,Gao, Lianru,&Zhang, Bing.(2015).Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(6(SI)),536-546.
MLA	Yang, Bin,et al."Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.6(SI)(2015):536-546.