[1] Millan-Garcia L, Sanchez-Perez G, Nakano M, et al. An early fire detection algorithm using IP cameras[J]. Sensors, 2012, 12(5): 5670-5686.

[2] Favorskaya M, Pyataeva A, Popov A. Verification of smoke detection in video sequences based on spatio-temporal local binary patterns[J]. Procedia Computer Science, 2015, 60: 671-680.

[3] Zhou Z Q, Shi Y S, Gao Z F, et al. Wildfire smoke detection based on local extremal region segmentation and surveillance[J]. Fire Safety Journal, 2016, 85: 50-58.

[4] Dimitropoulos K, Barmpoutis P, Grammalidis N. Higher order linear dynamical systems for smoke detection in video surveillance applications[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(5): 1143-1154.

[5] 李笋, 石永生, 汪渤, 等. 基于颜色增强变换和MSER检测的烟雾检测算法[J]. 北京理工大学学报, 2016, 36(10): 1072-1078.

    Li S, Shi Y S, Wang B, et al. Video smoke detection based on color transformation and MSER[J]. Transactions of Beijing Institute of Technology, 2016, 36(10): 1072-1078.

[6] Jia Y, Yuan J, Wang J J, et al. A saliency-based method for early smoke detection in video sequences[J]. Fire Technology, 2016, 52(5): 1271-1292.

[7] Cruz H, Eckert M, Meneses J, et al. Efficient forest fire detection index for application in unmanned aerial systems (UASs)[J]. Sensors, 2016, 16(6): 893.

[8] Ye S P, Bai Z C, Chen H F, et al. An effective algorithm to detect both smoke and flame using color and wavelet analysis[J]. Pattern Recognition and Image Analysis, 2017, 27(1): 131-138.

[9] 史劲亭, 袁非牛, 夏雪. 视频烟雾检测研究进展[J]. 中国图象图形学报, 2018, 23(3): 303-322.

    Shi J T, Yuan F N, Xia X. Video smoke detection: a literature survey[J]. Journal of Image and Graphics, 2018, 23(3): 303-322.

[10] Appana DK, IslamR, Khan SA, et al. A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems[J]. Information Sciences, 2017, 418/419: 91- 101.

[11] Emmy Prema C, Vinsley S S, Suresh S. Multi feature analysis of smoke in YUV color space for early forest fire detection[J]. Fire Technology, 2016, 52(5): 1319-1342.

[12] Zhao Y Q, Li Q J, Gu Z. Early smoke detection of forest fire video using CS Adaboost algorithm[J]. Optik - International Journal for Light and Electron Optics, 2015, 126(19): 2121-2124.

[13] Yuan F N, Fang Z J, Wu S Q, et al. Real-time image smoke detection using staircase searching-based dual threshold AdaBoost and dynamic analysis[J]. IET Image Processing, 2015, 9(10): 849-856.

[14] 陈洋, 范荣双, 王竞雪, 等. 基于深度学习的资源三号卫星遥感影像云检测方法[J]. 光学学报, 2018, 38(1): 0128005.

    Chen Y, Fan R S, Wang J X, et al. Cloud detection of ZY-3 satellite remote sensing images based on deep learning[J]. Acta Optica Sinica, 2018, 38(1): 0128005.

[15] 陈俊周, 汪子杰, 陈洪瀚, 等. 基于级联卷积神经网络的视频动态烟雾检测[J]. 电子科技大学学报, 2016, 46(6): 992-996.

    Chen J Z, Wang Z J, Chen H H, et al. Dynamic smoke detection using cascaded convolutional neural network for surveillance videos[J]. Journal of University of Electronic Science and Technology of China, 2016, 46(6): 992-996.

[16] Xu G, Zhang Y M, Zhang Q X, et al. Deep domain adaptation based video smoke detection using synthetic smoke images[J]. Fire Safety Journal, 2017, 93: 53-59.

[17] 周飞燕, 金林鹏, 董军. 卷积神经网络研究综述[J]. 计算机学报, 2017, 40(6): 1229-1251.

    Zhou F Y, Jin L P, Dong J. Review of convolutional neural network[J]. Chinese Journal of Computers, 2017, 40(6): 1229-1251.

[18] 寇添, 周中良, 刘宏强, 等. 空中点目标机动模式的双色比特征空间特性及辨识[J]. 光学学报, 2018, 38(12): 1204001.

    Kou T, Zhou Z L, Liu H Q, et al. Dual-color-ratio-feature spatial characteristics and recognition of aerial point target maneuvering modes[J]. Acta Optica Sinica, 2018, 38(12): 1204001.

[19] 李泉, 程效军, 田芮, 等. 多站地面三维激光扫描强度数据纠正与归一化[J]. 激光与光电子学进展, 2017, 54(12): 122802.

    Li Q, Cheng X J, Tian R, et al. Correction and normalization of multi-scan terrestrial three-dimensional laser scanning intensity[J]. Laser & Optoelectronics Progress, 2017, 54(12): 122802.

[20] Stauffer C. Grimson W E L. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 747-757.

[21] 刘让, 王德江, 贾平, 等. 基于全方位形态学滤波和局部特征准则的点目标检测[J]. 光学学报, 2017, 37(11): 1104001.

    Liu R, Wang D J, Jia P, et al. Point target detection based on omnidirectional morphology filtering and local characteristic criterion[J]. Acta Optica Sinica, 2017, 37(11): 1104001.

[22] 张思雨, 李从利. 基于改进Criminisi算法的航拍图像厚云修复[J]. 激光与光电子学进展, 2018, 55(12): 121012.

    Zhang S Y, Li C L. Thick cloud restoration of aerial images based on improved Criminisi algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121012.

[23] AbadiM, AgarwalA, BarhamP, et al. TensorFlow: large-scale machine learning on heterogeneous distributed systems[J/OL]. ( 2016-03-16)[2018-03-01]. https:∥arxiv.org/abs/1603. 04467.

[24] Computer vision based fire detection software[Z]. [2018-03-01].http:∥signal.ee.bilkent.edu.tr/Visi-Fire.

[25] Video surveillance online repository[Z]. [2018-03-01].http:∥imagelab.ing.unimore.it/visor/.

[26] State Key Laboratory of Fire Science Research of USTC. Research webpage about smoke detection for fire alarm[EB/OL].[2018-03-01].http:∥smoke.ustc.edu.cn/index.htm.

[27] 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 特种火灾探测器: GB 15631-2008[S]. 北京: 中国标准出版社, 2008.

    General administration of quality supervision, inspectionandquarantine of the people's republic of China, Standardizationadministration. Special type fire detectors: GB 15631-2008[S]. Beijing: Standards Press of China, 2008.