• Acta Optica Sinica
  • Vol. 42, Issue 2, 0210003 (2022)
Yu Zhang, Yan Zhang*, Zhiguang Shi, Jinghua Zhang, Di Liu, Yuchang Suo, Xiaoran Shi, and Jinming Du
Author Affiliations
  • National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
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    DOI: 10.3788/AOS202242.0210003 Cite this Article Set citation alerts
    Yu Zhang, Yan Zhang, Zhiguang Shi, Jinghua Zhang, Di Liu, Yuchang Suo, Xiaoran Shi, Jinming Du. Image Simulation Method of Infrared UAV Based on Image Derivation[J]. Acta Optica Sinica, 2022, 42(2): 0210003 Copy Citation Text show less
    References

    [1] Mitchell R, Chen I R. Adaptive intrusion detection of malicious unmanned air vehicles using behavior rule specifications[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44, 593-604(2014).

    [2] Rozantsev A, Lepetit V, Fua P. Detecting flying objects using a single moving camera[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 879-892(2017).

    [3] Zhang Y, Zhang Y, Shi Z G et al. Design and training of deep CNN-based fast detector in infrared SUAV surveillance system[J]. IEEE Access, 7, 137365-137377(2019).

    [4] Hui B W, Song Z Y, Fan H Q, small aircraft target detection et al. -08-17)[2021-06-01]. https:∥kns.cnki.net/KXReader/Detail?invoice=FnV22AbGCUCCAszzvntkn 8iY4oTa%2FpdLX6whCaI52JQI1MultRpB5ZArMHtq8 %2FHc12rF9b3PgNOhbwhw118KroeKWw4IuFSJ6xys VIDrGvMeppg7egot5Zw%2FiFlzZ6er6Xiiivrlkpygh%2F O6VQtIVWt9OQievgQDRwPCskCHPiY%3D&DBCOD E=CJFD&FileName=KXGZ202003030&TABLEName= cjfdlast2020&nonce=A4FA0D2CD9404CA18F75716 F9969CDAB&uid=&TIMESTAMP=1637643460781.(2020).

    [5] Liu Y Q, Wan X R, Tang H et al. Digital television based passive bistatic radar system for drone detection[C]∥2017 IEEE Radar Conference (RadarConf), May 8-12, 2017, Seattle, WA, USA., 1493-1497(2017).

    [6] Yi K Y, Kyeong D, Seo K. Deep learning based drone detection and classification[J]. The Transactions of the Korean Institute of Electrical Engineers, 68, 359-363(2019).

    [7] Du J M, Lu H Z, Hu M F et al. CNN-based infrared dim small target detection algorithm using target-oriented shallow-deep features and effective small anchor[J]. IET Image Processing, 15, 1-15(2021).

    [8] Liu Y Q, Wan X R, Tang H et al. Digital television based passive bistatic radar system for drone detection[C]∥2017 IEEE Radar Conference (RadarConf), May 8-12, 2017, Seattle, WA, USA., 1493-1497(2017).

    [9] Wang K D, Li S Y, Niu S S et al. Detection of infrared small targets using feature fusion convolutional network[J]. IEEE Access, 7, 146081-146092(2019).

    [10] Ma Q, Zhu B, Cheng Z D et al. Detection and recognition method of fast low-altitude unmanned aerial vehicle based on dual channel[J]. Acta Optica Sinica, 39, 1210002(2019).

    [11] Liu F, Wu Z W, Yang A Z et al. Multi-scale feature fusion based adaptive object detection for UAV[J]. Acta Optica Sinica, 40, 1015002(2020).

    [12] Zhao Y, Liu D, Zhao L J. Infrared dim and small target detection based on YOLOv3 in complex environment[J]. Aero Weaponry, 26, 29-34(2019).

    [13] Jia R M, Li T, Liu S J et al. Infrared simulation based on cascade multi-scale information fusion adversarial network[J]. Acta Optica Sinica, 40, 1810001(2020).

    [14] Hu H H, Bai T Z, Han Q et al. Infrared illumination model and infrared scene simulation based on Blinn-Phong model[J]. Acta Optica Sinica, 33, 0611003(2013).

    [15] Fang H, Li A H, Pan Y L et al. Evaluation for infrared scene simulation based on self-learning framework[J]. Systems Engineering and Electronics, 41, 266-272(2019).

    [16] Zhang J H, Zhang Y, Shi Z G. Study and modeling of infrared polarization characteristics based on sea scene in long wave band[J]. Journal of Infrared and Millimeter Waves, 37, 586-594(2018).

    [17] Zhu J Y, Krähenbühl P, Shechtman E et al. Learning a discriminative model for the perception of realism in composite images[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 3943-3951(2015).

    [18] Wu H K, Zheng S, Zhang J G et al. GP-GAN: towards realistic high-resolution image blending. [C]∥Proceedings of the 27th ACM International Conference on Multimedia, Nice, France. New York: ACM, 2487-2495(2019).

    [19] Zhu J Y, Krähenbühl P, Shechtman E et al. Generative visual manipulation on the natural image manifold[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9909, 597-613(2016).

    [20] Uyttendaele M, Eden A, Skeliski R. Eliminating ghosting and exposure artifacts in image mosaics[C]∥Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, December 8-14, 2001, Kauai, HI, USA., 7177054(2001).

    [21] Pérez P, Gangnet M, Blake A. Poisson image editing[J]. ACM Transactions on Graphics, 22, 313-318(2003).

    [22] Szeliski R, Uyttendaele M, Steedly D. Fast Poisson blending using multi-splines[C]∥2011 IEEE International Conference on Computational Photography (ICCP), April 8-10, 2011, Pittsburgh, PA, USA., 11962825(2011).

    [23] Tanaka M, Kamio R, Okutomi M. Seamless image cloning by a closed form solution of a modified Poisson problem[C]∥SIGGRAPH Asia 2012 Posters on-SA'12, November 28-December 1, 2012, Singapore, Singapore., 15(2012).

    [24] Goodfellow I J, Pouget-Abadie J, Mirza M et al. Generative adversarial nets. [C]∥Advances in Neural Information Processing Systems, Montreal, December 8-13, 2014, QC, Canada. New York: Curran Associates, 2672-2680(2014).

    [25] Denton E, Chintala S, Szlam A et al. Deep generative image models using a Laplacian pyramid of adversarial networks. [C]∥Advances in Neural Information Processing Systems, December 7-12, 2015, Montreal, QC, Canada. New York: Curran Associates, 1486-1494(2015).

    [26] Arjovsky M, Chintala S, Bottou L. Wasserstein generative adversarial networks. [C]∥34th International Conference on Machine Learning, August 6-11, 2017, Sydney, NSW, Australia. Cambridge: PMLR, 298-321(2017).

    [27] Domingos P. A few useful things to know about machine learning[J]. Communications of the ACM, 55, 78-87(2012).

    [28] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. ∥Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science. Cham: Springer, 9351, 234-241(2015).

    [29] Elder J H, Zucker S W. Local scale control for edge detection and blur estimation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 699-716(1998).

    [30] Bae S, Durand F. Defocus magnification[J]. Computer Graphics Forum, 26, 571-579(2007).

    [31] Liu Y L, Hu S H. Blind restoration based on detection and segmentation of motion blurred image[J]. Systems Engineering and Electronics, 39, 662-667(2017).

    [32] Brooks T, Barron J T. Learning to synthesize motion blur[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 6833-6841(2019).

    [33] Frankot R T, Chellappa R. A method for enforcing integrability in shape from shading algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 439-451(1988).

    [34] Redmon J. -04-08)[2020-07-16]. http:∥arxiv., org/abs/1804, 02767(2018).

    [35] Zhang Y, Zhang Y, Shi Z G et al. Research on evaluation method of image blending based image simulation[C]∥2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), April 9-11, 2021, Xi’an, China., 759-764(2021).

    Yu Zhang, Yan Zhang, Zhiguang Shi, Jinghua Zhang, Di Liu, Yuchang Suo, Xiaoran Shi, Jinming Du. Image Simulation Method of Infrared UAV Based on Image Derivation[J]. Acta Optica Sinica, 2022, 42(2): 0210003
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