Citation: | SHENG Dajun, ZHANG Qiang. Infrared Armored Target Detection Based on Edge-perception in Deep Neural Network[J]. Infrared Technology , 2021, 43(8): 784-791. |
[1] |
陈国胜, 胡福东, 周成宝, 等. 基于BIRD网络的智能红外全景识别系统[J]. 红外技术, 2018, 40(8): 765-770. http://hwjs.nvir.cn/article/id/hwjs201808008
CHEN Guosheng, HU Fudong, ZHOU Chenbao, et al. Intelligent infrared panoramic recognition system based on BIRD network[J]. Infrared Technology, 2018, 40(8): 765-770. http://hwjs.nvir.cn/article/id/hwjs201808008
|
[2] |
刘博文, 戴永寿, 金久才, 等. 基于空间分布与统计特性的海面远景目标检测方法[J]. 海洋科学, 2018, 42(1): 88-92. DOI: 10.3969/j.issn.1671-6647.2018.01.008
LIU B, DAI Y, JIN J, et al. Long-range object detection on sea surface based on spatial distribution and statistical characteristics[J]. Marine Science, 2018, 42 (1): 88-92 DOI: 10.3969/j.issn.1671-6647.2018.01.008
|
[3] |
骆清国, 赵耀, 俞长贺, 等. 某型装甲车辆红外辐射信号的建模与仿真[J]. 装甲兵工程学院学报, 2019, 33(1): 31-36. DOI: 10.3969/j.issn.1672-1497.2019.01.006
LUO Q, ZHAO Y, YUC, et al. Modeling and simulation of infrared radiation signal of an armored vehicle[J]. Journal of Armored Force Engineering College, 2019, 33(1): 31-36. DOI: 10.3969/j.issn.1672-1497.2019.01.006
|
[4] |
DONG X, HUANG X, ZHENG Y, et al. A novel infrared small moving target detection method based on tracking interest points under complicated background[J]. Infrared Phys. Technol., 2014, 65: 36-42. DOI: 10.1016/j.infrared.2014.03.007
|
[5] |
HE Y, LI M, ZHANG J, et al. Small infrared target detection based on low-rank and sparse representation[J]. Infrared Phys. Technol. , 2015, 68: 98-109. DOI: 10.1016/j.infrared.2014.10.022
|
[6] |
GUO J, Hsia C, LIU Y, et al. Fast background subtraction based on a multilayer codebook model for moving object detection[C]//IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(10): 1809-1821.
|
[7] |
彭博, 臧笛. 基于深度学习的红外车辆识识别方法研究[J]. 计算机科学, 2015, 42(4): 268-273.
PENG Bo, ZANG Di. Vehicle logo recognition based on deep learning[J]. Computer Science, 2015, 42(4): 268-273.
|
[8] |
XIA K J, CHENG J, TAO D, et al. Liver detection algorithm based on an improved deep network combined with edge perception[J]. IEEE ACCESS, 2019, 12: 175135-17514. http://ieeexplore.ieee.org/document/8901142
|
[9] |
Redmon J, Farhadi A. YOLO9000: Better, Faster, Stronger[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2017: 6517-6525.
|
[10] |
YU Z, FENG C, LIU M Y, et al. CASENet: Deep category-aware semantic edge detection[C]// Computer Vision & Pattern Recognition of IEEE, 2017: 1761-1770(doi: 10.1109/CVPR.2017.191).
|
[11] |
Neubeck A, Gool L V. Efficient non-maximum suppression[C]// International Conference on Pattern Recognition, IEEE Computer Society, 2006: 850-855.
|
[12] |
焦安波, 何淼, 罗海波. 一种改进的HED网络及其在边缘检测中的应用[J]. 红外技术, 2019, 41(1): 72-77. http://hwjs.nvir.cn/article/id/hwjs201901011
JIAO Anbo, HE Miao, LUO Haibo. Research on significant edge detection of infrared image based on deep learning[J]. Infrared Technology, 2019, 41(1): 72-77. http://hwjs.nvir.cn/article/id/hwjs201901011
|
[13] |
杨眷玉. 基于卷积神经网络的物体识别研究与实现[D]. 西安: 西安电子科技大学, 2016.
YANG J. Research and Implementation of Object Detection Based on Convolutional Neural Networks[D]. Xi'an: Xidian University, 2016.
|
[14] |
丁文秀, 孙悦, 闫晓星. 基于分层深度学习的鲁棒行人分类[J]. 光电工程, 2015, 42(9): 21-27. https://www.cnki.com.cn/Article/CJFDTOTAL-GDGC201509005.htm
DING W, SUN Y, YAN Xiaoxing. Robust pedestrian classification based on hierarchical deep learning[J]. Opto-Electronic Engineering, 2015, 42(9): 21-27. https://www.cnki.com.cn/Article/CJFDTOTAL-GDGC201509005.htm
|
[15] |
CHEN S, CHEN Z, XU X, et al. Nv-Net: efficient infrared image segmentation with convolutional neural networks in the low illumination environment[J]. Infrared Physics & Technology, 2020, 105: 103184. http://www.sciencedirect.com/science/article/pii/S1350449519310357
|
[16] |
HOSANG J, BENENSON R, SCHIELE B. A convnet for non-maximum suppression[C]//German Conference on Pattern Recognition, Cham: Springer, 2016: 192-204.
|
[17] |
REDMON J, FARHADI A. YOLO9000: Better, faster, stronger[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York: IEEE Press, 2017: 7263-7271.
|
[18] |
LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector[C]//European Conference on Computer Vision. Cham: Springer, 2016: 21-37.
|
[19] |
HUANG G, LIU Z, VAN DER MAATEN L, et al. Densely connected convolutional networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 4700-4708.
|
[20] |
HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770-778.
|
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