Real-time hyperspectral detection and cuing

被引:66
|
作者
Stellman, CM
Hazel, GG
Bucholtz, F
Michalowicz, JV
Stocker, A
Schaaf, W
机构
[1] USN, Res Lab, Div Opt Sci, Sensors & Data Anal Sect, Washington, DC 20375 USA
[2] Space Comp Corp, Santa Monica, CA 90404 USA
关键词
hyperspectral; imaging; reconnaissance; surveillance; real-time detection;
D O I
10.1117/1.602577
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The Dark HORSE 1 (Hyperspectral Overhead Reconnaissance and Surveillance Experiment 1) flight test has demonstrated autonomous, real-time visible hyperspectral detection of military ground targets with real-time cuing of a high-resolution framing camera. An overview of the Dark HORSE 1 hyperspectral sensor system is presented. The system hardware components are described in detail, with an emphasis on the visible hyperspectral sensor and the real-time processor. Descriptions of system software and processing methods are also provided. The recent field experiment in which the Dark HORSE 1 system was employed is described in detail along with an analysis of the collected data. The results evince per-pixel false-alarm rates on the order of 10(-5)/km(2), and demonstrate the improved performance obtained by operating two detection algorithms simultaneously. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)01607-X].
引用
收藏
页码:1928 / 1935
页数:8
相关论文
共 50 条
  • [1] Real-time airborne hyperspectral detection systems
    Koligman, M
    Copeland, A
    [J]. ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY VI, 2000, 4049 : 230 - 238
  • [2] A Wearable Device for Real-Time Motion Error Detection and Vibrotactile Instructional Cuing
    Lee, Beom-Chan
    Chen, Shu
    Sienko, Kathleen H.
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2011, 19 (04) : 374 - 381
  • [3] An airborne real-time hyperspectral target detection system
    Skauli, Torbjorn
    Haavardsholm, Trym V.
    Kasen, Ingebjorg
    Arisholm, Gunnar
    Kavara, Amela
    Opsahl, Thomas Olsvik
    Skaugen, Atle
    [J]. ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVI, 2010, 7695
  • [4] GPU Implementation for Real-time Hyperspectral Anomaly Detection
    Zhao, Chunhui
    You, Wei
    Wang, Yulei
    Wang, Jia
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2015, : 940 - 943
  • [5] RX architectures for real-time anomaly detection in hyperspectral images
    A. Rossi
    N. Acito
    M. Diani
    G. Corsini
    [J]. Journal of Real-Time Image Processing, 2014, 9 : 503 - 517
  • [6] RX architectures for real-time anomaly detection in hyperspectral images
    Rossi, A.
    Acito, N.
    Diani, M.
    Corsini, G.
    [J]. JOURNAL OF REAL-TIME IMAGE PROCESSING, 2014, 9 (03) : 503 - 517
  • [7] Real-Time Causal Processing of Anomaly Detection for Hyperspectral Imagery
    Chen, Shih-Yu
    Wang, Yulei
    Wu, Chao-Cheng
    Liu, Chunhong
    Chang, Chein-I
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (02) : 1510 - 1533
  • [8] A real-time CFAR thresholding method for target detection in hyperspectral images
    Huijie Zhao
    Chen Lou
    Na Li
    [J]. Multimedia Tools and Applications, 2017, 76 : 15155 - 15171
  • [9] Real-time processing algorithms for target detection and classification in hyperspectral imagery
    Chang, CI
    Ren, H
    Chiang, SS
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (04): : 760 - 768
  • [10] Fast real-time onboard processing of hyperspectral imagery for detection and classification
    Qian Du
    Reza Nekovei
    [J]. Journal of Real-Time Image Processing, 2009, 4 : 273 - 286