Infrared Image Fusion Algorithm Selection Based on Joint Drop Shadow of Possibility Distributions

Linna JI; Xiaoming GUO; Fengbao YANG; Yaling ZHANG

doi:10.3788/gzxb20215004.0410001

[1] Jin DUAN, Qiang FU, Chunhe MO等. Review of polarization imaging technology for international military application I. Infrared Technology, 36, 190-195(2014).

[2] Pingli HAN. Research in target recognition employing polarization signatures of thermal emission(2014).

[3] Pan ZHU. Study on fusion algorithm for infrared and infrared polarization/visible images(2017).

[4] S Z LIU, D J WANG, X H ZHU et al. Fusion of infrared intensity and polarization images using embedded multi-scale transform. Optik-International Journal for Light and Electron Optics, 126, 5127-5133(2015).

[5] J MA, Y MA, C LI. Infrared and visible image fusion methods and applications： A survey. Information Fusion, 45, 153-178(2019).

[6] Sheng LV, Fengbao YANG, Linna JI等. Combination fusion of multi-types mimic variables of infrared intensity and polarization image. Infrared and Laser Engineering, 47, 63-72(2018).

[7] Lei ZHANG, Fengbao YANG, Linna JI. Multi algorithm fusion of infrared polarization and intensity image based on difference feature exponential measure. Fire Control & Command Control, 43, 49-54+59(2018).

[8] Zhe GUO. Study on synthesis of fusion validity distribution of bimodal infrared images(2018).

[9] Tao NIU, Fengbao YANG, Xiaoxia WANG等. Establishment of set-valued mapping between difference characteristics and fusion algorithms. Infrared and Laser Engineering, 44, 1073-1079(2015).

[10] D F LI, Y C WANG, S LIU et al. Fractional programming methodology for multi-attribute group decision-making using IFS. Applied Soft Computing, 9, 219-225(2009).

[11] M P ASUQUO, J WANG, L ZHANG et al. Application of a multiple attribute group decision making （MAGDM） model for selecting appropriate maintenance strategy for marine and offshore machinery operations. Ocean Engineering, 179, 246-260(2019).

[12] Yaling ZHANG, Linna JI, Fengbao YANG等. Characterization of dual-mode infrared images fusion based on cosine similarity. Opto-Electronic Engineering, 46, 82-92(2019).

[13] G BIAU, F CHAZAL, D COHEN-STEINER et al. A weighted k-nearest neighbor density estimate for geometric inference. Electronic Journal of Statistics, 5, 204-237(2011).

[14] Yaling ZHANG, Linna JI, Fengbao YANG等. Bimodal infrared images of frequency distribution of difference features based on nonparametric estimation. Infrared Technology, 42, 361-369(2020).

[15] Linna JI. Research on fusion theory of possibility distribution and its engineering application(2015).

[16] Haitao LIU, Sicong GUO. Set-valued markov chain and properties of its falling shadows. Journal of Mathematics in Practice and Theory, 46, 265-272(2016).

[17] X HAN, T LV, X SONG et al. An adaptive two-scale image fusion of visible and infrared images. IEEE Access, 7, 56341-56352(2019).