[1] [1] ZHANG B, GAO L R. Hyperspectral image classification and target detection［M］. Beijing: Science Press, 2011:1-20(in Chinese).

[2] [2] YANG Zh J. Introduction to camouflage stealth technology for military targets［M］. Beijing: National Defense Industry Press, 2014:15-31(in Chinese).

[3] [3] MA Y P, ZHANG W, LIU D X. Characteristics of hyperspectral reconnaissance and threat to ground military targets［J］. Aerospace Shanghai, 2012, 29(1): 37-41(in Chinese).

[4] [4] LIU Zh M, HU B R, WU W J. Spectral imaging of green coating camouflage under hyperspectral detection［J］. Acta Photonica Sinica, 2009, 38(4): 885-890(in Chinese).

[5] [5] WEI Zh T, HUANG J, FANG Q. Vegetation camouflage assessment based on analysis of characteristics of vegetative landscape［J］. Journal of PLA University of Science and Technology(Natural Science Edition) , 2014, 15(1): 51-55(in Chinese).

[6] [6] HUGHES G. On the mean accuracy of statistical pattern recognizers［J］. IEEE Transactions on Information Theory, 1968, 14(1):55-63.

[7] [7] ZHANG L, SHAO Zh F. Hyperspectral remote sensing image classification based on improved OIF and SVM algorithm［J］. Science of Surveying and Mapping, 2014, 39(11): 114-117(in Chinese).

[8] [8] WANG Q, YANG G, XIANG Y J. Band selection method of hyperspectral image based on subspace partition［J］. Ship Electronic Engineering, 2017, 37(4): 98-102(in Chinese).

[9] [9] WANG Q H, HUA W Sh, HUANG F Y. Hyperspectral anomaly detection algorithm based on spectral angle background purification［J］. Laser Technology, 2020, 44(5): 623-627(in Chinese).

[10] [10] YAN Y, HUA W Sh, ZHANG Y. An improved method of hyperspectral endmember extraction based on band selection［J］. Laser Technology, 2019, 43(4): 574-578(in Chinese).

[11] [11] CHEN Zh K, GUO R, CHENG P F. Application of LIF technology-based spectral feature extraction in oil detection［J］. Laser & Optoelectronics Progress, 2020, 57(13): 133002(in Chinese).

[12] [12] HE Y, WANG J F. Rapid nondestructive identification of wood lacquer using raman spectroscopy basedon characteristic-band-fisher-k nearest neighbor［J］. Laser & Optoelectronics Progress,2020,57(1):013001(in Chinese).

[13] [13] KIRA K, RENDELL L A. The feature selection problem: Traditional methods and a new algorithm［C］//Proceedings of 10th National Conference on Artificial Intelligence.New York, USA:IEEE, 1992: 129-134.

[14] [14] HUANG X J. Relief-based feature selection algorithms［D］. Suzhou: Soochow University, 2018:81-92(in Chinese).

[15] [15] KONONENKO I. Estimating attributes: Analysis and extensions of Relief［C］//Machine Learning ECML-94. New York, USA:IEEE,1994: 171-182.