[1] Juncheng Sui, Dengfeng Ren, Yuge Han. Inversion and model validation method of missing parameters in infrared modeling of ground targets. Infrared and Laser Engineering, 51, 20220033(2022).

[2] Qingguo Luo, Jun Lu, Yao Zhao. Analysis of thermal flow field and infrared radiation characteristics of tank power cabin. Laser & Infrared, 50, 74-79(2020).

[3] Yao Zhao, Qingguo Luo, Jun Lu, et al. Temperature field and infrared radiation characteristics for armored vehicle engine compartment. Journal of Academy of Armored Force Engineering, 32, 34-39(2018).

[4] Junshan Li, Xia Chen, Jianhua Li. Infrared radiation charac-teristics contrast between target and background on different grounds. Infrared and Laser Engineering, 43, 424-428(2014).

[5] Zhenhua Lv, Xiaoli Pan, Guanghong Gong, et al. Research terrain background infrared radiation characteristics modeling and simulation. Journal of Journal of China Academy of Electronics and Information Technology, 12, 420-427(2017).

[6] Xiaoxia Sun, Chaofu Wei. Fast field evaluation method for ground target and background infrared characteristics test. Journal of Ordnance Equipment Engineering, 41, 196-202(2020).

[7] Shengyue Cheng, Zhaohui Liu, Zhiping Deng, et al. Research progress on infrared characteristic of military target. Infrared Technology, 36, 577-581(2014).

[8] Iliopoulos Alexandros, Shirzadeh Rasoul, Weijtjens Wout, et al. A modal decomposition and expansion approach for prediction of dynamic responses on a monopile offshore wind turbine using a limited number of vibration sensors. Mechanical Systems and Signal Processing, 68-69, 84-104(2016).

[9] Xiaohua Zhang, Haiyang Zhou. Multi-type structural responses reconstruction using limited number of sensors. Journal of Nanchang University (Engineering & Technology), 38, 147-151(2016).

[10] M Chen, S Liu, S Sun, et al. Rapid reconstruction of simulated and experimental temperature fields based on proper orthogonal decomposition. Applied Sciences, 10, 3729(2020).

[11] P Mokhasi, D Rempfer. Optimized sensor placement for urban flow measurement. Physics of Fluids, 16, 1758-1764(2004).

[12] K Manohar, B W Brunton, J N Kutz, et al. Data-driven sparse sensor placement for reconstruction: demonstrating the benefits of exploiting known patterns. IEEE Control Systems Magazine, 38, 63-86(2018).

[13] K Manohar, J N Kutz, S L Brunton. Optimal sensor and actuator selection using balanced model reduction. IEEE Transactions on Automatic Control, 67, 2108-2115(2022).

[14] K Manohar, E Kaiser, S L Brunton, et al. Optimized sampling for multiscale dynamics. Multiscale Modeling & Simulation, 17, 117-136(2019).

[15] K Nakai, K Yamada, T Nagata, et al. Effect of objective function on data-driven greedy sparse sensor optimization. IEEE Access, 9, 46731-46743(2021).

[16] [16] Lin Qunqing. Research on the effects of lets particles on thermal radiative acteristics of vehicles credibility evaluation method f thermal radiation model[D]. Nanjing: Nanjing University of Science Technology, 2018. (in Chinese)