• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610013 (2021)
Shijie Deng1、*, Haiyan Wang1、**, Mengai Wang2、***, and Chengzhe Fang1、****
Author Affiliations
  • 1College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an, Shaanxi 710038, China
  • 2Unit 93793, Beijing 102100, China
  • show less
    DOI: 10.3788/LOP202158.1610013 Cite this Article Set citation alerts
    Shijie Deng, Haiyan Wang, Mengai Wang, Chengzhe Fang. Spectral Matching Operator Based on Position Vector Statistics[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610013 Copy Citation Text show less
    References

    [1] Karlsson J, Georgiou T T. Uncertainty bounds for spectral estimation[J]. IEEE Transactions on Automatic Control, 58, 1659-1673(2013).

    [2] Gao N. Terrain and target detection in hyperspectral remote sensing imagery[D], 21(2019).

    [3] Su H J, Du P J, Sheng Y H. Study on feature extraction and experiment of hyperspectral data[J]. Application Research of Computers, 25, 390-394(2008).

    [4] Parker D R, Gustafson S C, Ross T D. Integrated receiver operating characteristic and confidence error metrics for assessing the performance of automatic target recognition systems[J]. Proceedings of SPIE, 5427, 354-365(2004).

    [5] Wang L, Chen J, Gong P et al. Land cover change detection with a cross-correlogram spectral matching algorithm[J]. International Journal of Remote Sensing, 30, 3259-3273(2009).

    [6] Shao T. Research on target recognition in hyperspectral in hyperspectral imagery based on spectral information[D], 21-22(2010).

    [7] Ye F. Hyperspectral identification technology research based on spectral matching[D](2013).

    [8] Gao X H. Research on technologies of hyperspectral data processing[D], 92(2013).

    [9] Lü J H. Research on hyperspectral image target detection algorithms[D], 27-28(2014).

    [10] Wang Y L. Real-time target detection algorithms for hyperspectral imagery[D], 22(2015).

    [11] Kumar R, Indrayan A. Receiver operating characteristic (ROC) curve for medical researchers[J]. Indian Pediatrics, 48, 277-287(2011).

    [12] Nasrabadi N M. Regularized spectral matched filter for target recognition in hyperspectral imagery[J]. IEEE Signal Processing Letters, 15, 317-320(2008).

    [13] He Y L, Wang J L, Li H J et al. Constrained energy minimization algorithm based on selected sample correlation matrix for hyperspectral imagery[J]. Journal of Nanchang Hangkong University (Natural Sciences), 28, 13-19(2014).

    [14] Yin J H, Sun J Y, Wang Y S et al. Sample weighting constrained energy minimization algorithm[J]. Acta Electronica Sinica, 40, 788-792(2012).

    [15] Cen K. Research on band selection method of hyperspectral image based on low rank representation[D](2020).

    [16] Fu T T, Fu X N. An improved CEM target detection algorithm for hyperspectral images[J]. Applied Physics, 9, 63-70(2019).

    [17] Yang L, Su L H, Wu B G et al. Target detection algorithm of hyperspectral remote sensing imagery combined with CEM[J]. Journal of Chongqing University of Technology (Natural Science), 31, 146-150, 172(2017).

    [18] Zhang C X, Liu C Y, Qi H X et al. Blind pixel detection algorithm using spectral matching for thermal infared hyperspectral imager[J]. Infrared and Laser Engineering, 49, 0104002(2020).

    Shijie Deng, Haiyan Wang, Mengai Wang, Chengzhe Fang. Spectral Matching Operator Based on Position Vector Statistics[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610013
    Download Citation