Infrared and Laser Engineering, Volume. 50, Issue 12, 20210165(2021)
Research on monogenic signal of application in infrared imagery target classification
[1] Zhou J M, Chen C, Tu W B, et al. Composite layer defect detection method based on infrared heat wave technology, finite element and SVM[J]. Chinese Journal of Scientific Instrument, 41, 29-38(2020).
[2] Wang H B, Wan L J. Small infrared target detection based on Contourlet transformation and target characteristic analysis[J]. Journal of Electronic Measurement and Instrumentation, 33, 120-125(2019).
[3] Jiang W, Wang X C, Yang Y. Infrared image enhancement algorithm based on structural feature priori and multi-scale non-sharpening masking mechanism[J]. Journal of Electronic Measurement and Instrumentation, 33, 1-9(2019).
[4] Wang Y Y, Zhao Y H, Luo H B, et al. Dynamic range compression and detail enhancement of sea-surface infrared image[J]. Infrared and Laser Engineering, 48, 0126003(2019).
[5] Wang H Q, Xu T F, Sun X L, et al. Infrared-visible video registration with matching motion trajectories of targets[J]. Optics and Precision Engineering, 26, 1533-1541(2018).
[6] Qiao T Y, Cai L H, Li N, et al. Opposite target measurement based on infrared radiation characteristic system[J]. Chinese Optics, 11, 804-811(2018).
[7] Wu C L, Hao Y P, Zhang L, et al. Infrared target recognition algorithm based on multi-feature fusion[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 39, 39-44(2019).
[8] Su J, Yang L, Zhang Y Y. Infrared target recognition algorithm based on fragment matching and graph searching[J]. Acta ArmamentarII, 36, 854-860(2015).
[9] Xie Z H, Liu G D. Infrared face recognition based on co-occurrence histogram of multi-scale local binary patterns[J]. Infrared and Laser Engineering, 44, 391-397(2015).
[10] Zhao A G, Wang H L, Yang X G, et al. An affine invariant method of forward looking infra-red target recognition[J]. Laser & Optoelectronics Progress, 52, 071501(2015).
[11] Zhang D, Zhang J S, Yao K M, et al. Infrared ship-target recognition based on SVM classification[J]. Infrared and Laser Engineering, 45, 0104004(2016).
[12] Su J, Yang L, Zhang Y Y, et al. An infrared target recognition method based on kernel sparse coding[J]. Infrared Technology, 38, 230-235(2016).
[13] Zhu X X, Tuia D, Mu L, et al. Deep learning in remote sensing: A comprehensive review and list of resources[J]. IEEE Geoscience and Remote Sensing Magazine, 5, 8-36(2017).
[14] Shi G J. Target recognition method of infrared imagery via joint representation of deep features[J]. Infrared and Laser Engineering, 50, 20200399(2021).
[15] D’acremont A, Fablet R, Baussard A, et al. CNN-based target recognition and identification for infrared imaging in defense systems[J]. Sensors, 19, 2040(2019).
[16] Li K M, Wang L, Yan H T, et al. Face recognition algorithm using multi-model monogenic features[J]. Application Research of Computers, 31, 1246-1251(2014).
[17] Dong G G, Kuang G Y. Classification on the monogenic scale space: application to target recognition in SAR image[J]. IEEE Transactions on Image Processing, 24, 2527-2539(2015).
[18] Dong G G, Kuang G Y, Wang N, et al. SAR target recognition via joint sparse representation of monogenic signal[J]. IEEE Journal of Selected Topics Applied Earth Observation and Remote Sensing, 8, 3316-3328(2015).
[19] Zhang H C, Nasrabadi M N, Zhang Y N, et al. Multi-view automatic target recognition using joint sparse representation[J]. IEEE Transactions on Aerospace and Electronic System, 48, 2481-2497(2012).
[20] Ding B Y, Wen G J. Exploiting multi-view SAR images for robust target recognition[J]. Remote Sensing, 9, 1150(2017).
[21] Ji S, Dunson D, Carin L. Multitask compressive sensing[J]. IEEE Transactions on Signal Processing, 57, 92-106(2009).
Get Citation
Copy Citation Text
Yazhi Yang, Jun Li. Research on monogenic signal of application in infrared imagery target classification[J]. Infrared and Laser Engineering, 2021, 50(12): 20210165
Category: Image processing
Received: May. 10, 2021
Accepted: --
Published Online: Feb. 9, 2022
The Author Email: Jun Li (junli_1@163.com)