[1] |
王钟宽, 粟萌萌, 黄欣, 等. 不同坡度隧道火灾自熄现象试验研究[J]. 中国安全科学学报, 2021, 31(1): 186-191.
doi: 10.16265/j.cnki.issn 1003-3033.2021.01.027
|
|
WANG Zhongkuan, SU Mengmeng, HUANG Xin, et al. Experimental study on fire self-extinction phenomenon in tunnel with different slopes[J]. China Safety Science Journal, 2021, 31(1): 186-191.
doi: 10.16265/j.cnki.issn 1003-3033.2021.01.027
|
[2] |
肖潇, 孔凡芝, 刘金华. 基于动静态特征的监控视频火灾检测算法[J]. 计算机科学, 2019, 46(增1): 284-286,299.
|
|
XIAO Xiao, KONG Fanzhi, LIU Jinhua. Fire detection algorithm based on dynamic and static characteristics of surveillance video[J]. Computer Science, 2019, 46(S1): 284-286,299.
|
[3] |
颜礼彬. 基于独立分量分析和颜色特征的视频火焰图像分割法[J]. 传感器与微系统, 2022, 41(4): 149-152.
|
|
YAN Libin. Video flame image segmentation method based on Independent component analysis and color feature[J]. Sensors and Microsystems, 2022, 41(4): 149-152.
|
[4] |
MONIR T, HOSSEIN P, HOMAYOUN M-N. Fire detection based on fractal analysis and spatio-temporal features[J]. Fire Technology, 2021, 57(5): 2583-2614.
doi: 10.1007/s10694-021-01129-7
|
[5] |
邓实强, 丁浩, 杨孟, 等. 基于视频图像的公路隧道火灾烟雾检测[J]. 隧道建设:中英文, 2022, 42(2): 291-302.
|
|
DENG Shiqiang, DING Hao, YANG Meng, et al. Fire smoke detection in highway tunnels based on video image[J]. Tunnel Construction, 2022, 42(2):291-302.
|
[6] |
王琳, 姚新, 雷丹. 公路隧道火灾初期视频火焰检测[J]. 中国公路学报, 2018, 31(11): 121-129.
|
|
WANG Lin, YAO Xin, LEI Dan. Video-based recognition of early fire flame in road tunnel[J]. China Journal of Highway and Transport, 2018, 31(11): 121-129.
|
[7] |
晋耀, 张为. 采用Anchor-Free网络结构的实时火灾检测算法[J]. 浙江大学学报:工学版, 2020, 54(12): 2430-2436.
|
|
JI Yao, ZHANG Wei. Real-time fire detection algorithm with Anchor-Free network architecture[J]. Journal of Zhejiang University:Engineering Science, 2020, 54(12): 2430-2436.
|
[8] |
KIM J, RYU J, KWAK D, et al. A study on flame detection using faster R-CNN and image augmentation techniques[J]. Journal of IKEEE, 2018, 22(4): 1079-1087.
|
[9] |
崔艳鹏, 王元皓, 胡建伟. 一种改进YOLOv3的动态小目标检测方法[J]. 西安电子科技大学学报, 2020, 47(3): 1-7.
|
|
CUI Yanpeng, WANG Yuanhao, HU Jianwei. Detection method for a dynamic small target using the improved YOLOv3[J]. Journal of Xidian University, 2020, 47(3): 1-7.
|
[10] |
吴凡, 王惠琴, 王可. 时空域深度学习火灾烟雾检测[J]. 液晶与显示, 2021, 36(8): 1186-1195.
|
|
WU Fan, WANG Huiqin, WANG Ke. Spatio-temporal deep learning fire smoke detection[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(8): 1186-1195.
doi: 10.37188/CJLCD.2020-0239
|
[11] |
HONG Zhonghua, TANG Zhizhou, PAN Haiyan, et al. Active fire detection using a novel convolutional neural network based on himawari-8 satellite images[J]. Frontiers in Environmental Science, 2022,10:DOI: 10.3389/fenvs.2022.794028.
|
[12] |
杨帆, 吴浩宇, 郭雅婷, 等. 基于联邦学习的火灾图像检测算法[J]. 陕西科技大学学报, 2022, 40(6): 184-191.
|
|
YANG Fan, WU Haoyu, GUO Yating, et al. Fire image detection algorithm based on federated learning[J]. Journal of Shaanxi University of Science & Technology, 2022, 40(6): 184-191.
|
[13] |
LIU Hua, LI Jian, DU Jia, et al. Identification of smoke from straw burning in remote sensing images with the improved YOLOv5s algorithm[J]. Atmosphere, 2022, 13(6): DOI: 10.3390/atmos13060925.
|
[14] |
TAN Mingxing, PANG Ruoming, LE Q V. EfficientDet: scalable and efficient object detection[C]. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 10778-10787.
|