Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (8): 2483-2487.doi: 10.12305/j.issn.1001-506X.2022.08.12
• Sensors and Signal Processing • Previous Articles Next Articles
Caiyun WANG1,*, Yida WU1, Jianing WANG2, Lu MA2, Huanyue ZHAO1
Received:
2021-05-21
Online:
2022-08-01
Published:
2022-08-24
Contact:
Caiyun WANG
CLC Number:
Caiyun WANG, Yida WU, Jianing WANG, Lu MA, Huanyue ZHAO. SAR image target recognition based on combinatorial optimization convolutional neural network[J]. Systems Engineering and Electronics, 2022, 44(8): 2483-2487.
Table 4
Recognition results of ten kinds of targets"
目标类别 | 识别输出类别 | 识别率 | 平均识别率 | |||||||||
BMP2 | BTR70 | T72 | 2S1 | BRDM2 | BTR60 | D7 | T62 | ZIL 131 | ZSU 234 | |||
BMP2 | 193 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.989 7 | 0.992 0 |
BTR70 | 0 | 196 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
T72 | 1 | 0 | 195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.994 9 | |
2S1 | 0 | 0 | 0 | 274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
BRDM2 | 0 | 0 | 0 | 0 | 274 | 0 | 0 | 0 | 0 | 0 | 1 | |
BTR60 | 0 | 0 | 0 | 0 | 4 | 191 | 0 | 0 | 0 | 0 | 0.979 5 | |
D7 | 0 | 0 | 0 | 0 | 2 | 0 | 272 | 0 | 0 | 0 | 0.992 7 | |
T62 | 0 | 0 | 0 | 4 | 2 | 0 | 0 | 267 | 0 | 0 | 0.978 0 | |
ZIL131 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 272 | 0 | 0.992 7 | |
ZSU234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 272 | 0.992 7 |
1 | 贺丰收, 何友, 刘准钆, 等. 卷积神经网络在雷达自动目标识别中的研究进展[J]. 电子与信息学报, 2020, 42 (1): 119- 131. |
HE F S , HE Y , LIU H G , et al. Research progress of convolution neural network in radar automatic target recognition[J]. Journal of Electronics and Information Technology, 2020, 42 (1): 119- 131. | |
2 |
KRIZHEVSKY A , SUTSKEVER I , HINTON G . ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60 (6): 84- 90.
doi: 10.1145/3065386 |
3 | 田壮壮, 占荣辉, 胡杰民, 等. 基于卷积神经网络的SAR图像目标识别研究[J]. 雷达学报, 2016, 5 (3): 320- 325. |
TIAN Z Z , ZHAN R H , HU J M , et al. Research on SAR image target recognition based on convolution neural network[J]. Journal of Radars, 2016, 5 (3): 320- 325. | |
4 |
王彩云, 胡允侃, 李晓飞, 等. 基于卷积稀疏编码与多分类器融合的雷达HRRP目标识别方法[J]. 系统工程与电子技术, 2018, 40 (11): 2433- 2437.
doi: 10.3969/j.issn.1001-506X.2018.11.07 |
WANG C Y , HU Y K , LI X F , et al. Radar HRRP target re-cognition method based on convolutional sparse coding and multi classifier fusion[J]. Systems Engineering and Electronics, 2018, 40 (11): 2433- 2437.
doi: 10.3969/j.issn.1001-506X.2018.11.07 |
|
5 | 李君宝, 杨文慧, 许剑清, 等. 基于深度卷积网络的SAR图像目标检测识别[J]. 导航定位与授时, 2017, 4 (1): 60- 66. |
LI J B , YANG W H , XU J Q , et al. SAR image target detection and recognition based on deep convolution network[J]. Navigation Positioning and Timing, 2017, 4 (1): 60- 66. | |
6 | 刘晨, 曲长文, 周强, 等. 基于CNN的SAR图像目标分类优化算法[J]. 雷达科学与技术, 2017, 15 (4): 362- 367. |
LIU C , QU C W , ZHOU Q , et al. Target classification optimization algorithm of SAR image based on CNN[J]. Radar Science and Technology, 2017, 15 (4): 362- 367. | |
7 | 高志帮, 刘以安. 多尺度分解结合卷积神经网络的SAR图像识别[J]. 火控雷达技术, 2019, 48 (1): 1- 6. |
GAO Z B , LIU Y A . SAR image recognition based on multiscale decomposition and convolutional neural network[J]. Fire Control Radar Technology, 2019, 48 (1): 1- 6. | |
8 |
任硕良, 索继东, 佟禹. 卷积神经网络结合迁移学习的SAR目标识别[J]. 电光与控制, 2020, 27 (10): 37- 41.
doi: 10.3969/j.issn.1671-637X.2020.10.008 |
REN S L , SUO J D , TONG Y . SAR target recognition based on convolution neural network and transfer learning[J]. Electronics Opitics & Control, 2020, 27 (10): 37- 41.
doi: 10.3969/j.issn.1671-637X.2020.10.008 |
|
9 | LI J W , QU C W , PENG S J . Ship classification for unbalanced SAR dataset based on convolutional neural network[J]. Journal of Applied Remote Sensing, 2018, |
10 | 陈欣, 陈明逊. 基于增强数据集卷积神经网络的SAR目标识别方法[J]. 重庆理工大学学报(自然科学), 2020, 34 (1): 86- 93. |
CHEN X , CHEN M X . SAR target recognition method based on convolutional neural network of enhanced dataset[J]. Journal of Chongqing University of Technology(Natural Science), 2020, 34 (1): 86- 93. | |
11 | 满凤环, 陈秀宏, 何佳佳. 改进的Dropout正则化卷积神经网络[J]. 传感器与微系统, 2018, 37 (4): 44- 47. |
MAN F H , CHEN X H , HE J J . Improved dropout regularized convolutional neural network[J]. Transducer and Microsystem Technologies, 2018, 37 (4): 44- 47. | |
12 |
王博威, 潘宗序, 胡玉新, 等. 少量样本下基于孪生CNN的SAR目标识别[J]. 雷达科学与技术, 2019, 17 (6): 603- 609.603-609, 615
doi: 10.3969/j.issn.1672-2337.2019.06.003 |
WANG B W , PAN Z X , HU Y X , et al. SAR target recognition based on twin CNN with few samples[J]. Radar Science and Technology, 2019, 17 (6): 603- 609.603-609, 615
doi: 10.3969/j.issn.1672-2337.2019.06.003 |
|
13 | 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 networks[J]. Chinese Journal of Computers, 2017, 40 (6): 1229- 1251. | |
14 |
张琴. 基于CNN的图像分类中激活函数的研究[J]. 现代计算机, 2020, (32): 43- 47.
doi: 10.3969/j.issn.1007-1423.2020.32.009 |
ZHANG Q . Research on activation function in image classification based on CNN[J]. Modern Computer, 2020, (32): 43- 47.
doi: 10.3969/j.issn.1007-1423.2020.32.009 |
|
15 |
姬壮伟. 神经网络过拟合问题的Dropout优化[J]. 长治学院学报, 2020, 37 (2): 37- 39.
doi: 10.3969/j.issn.1673-2014.2020.02.011 |
JI Z W . Dropout optimization of neural network over fitting problem[J]. Journal of Changzhi University, 2020, 37 (2): 37- 39.
doi: 10.3969/j.issn.1673-2014.2020.02.011 |
|
16 | BURDEN F , WINKLER D . Bayesian regularization of neural networks[J]. Methods in Molecular Biology, 2008, 458, 25- 44. |
17 |
TICKNOR J L . A Bayesian regularized artificial neural network for stock market forecasting[J]. Expert Systems with Applications, 2013, 40 (14): 5501- 5506.
doi: 10.1016/j.eswa.2013.04.013 |
18 | 高友文, 周本君, 胡晓飞. 基于数据增强的卷积神经网络图像识别研究[J]. 计算机技术与发展, 2018, (8): 62- 65. |
GAO Y W , ZHOU B J , HU X F . Convolution neural network image recognition based on data enhancement[J]. Computer Technology and Development, 2018, (8): 62- 65. | |
19 |
XIA S , YU Z , YU J D . Adaptive convolutional network for SAR image classification[J]. The Journal of Engineering, 2019, 2019 (20): 6868- 6872.
doi: 10.1049/joe.2019.0565 |
20 | 王源源. 一种基于多分辨率表示的SAR图像识别方法[J]. 电光与控制, 2020, 27 (10): 31- 36. |
WANG Y Y . SAR image recognition method based on multi resolution representation[J]. Electronics Optics & Control, 2020, 27 (10): 31- 36. | |
21 | 应自炉, 宣晨, 翟懿奎, 等. 面向小样本SAR图像识别的自注意力多尺度特征融合网络[J]. 信号处理, 2020, 36 (11): 1846- 1858. |
YING Z L , XUAN C , ZHAI Y K , et al. Self attention multi scale feature fusion network for small sample SAR image recognition[J]. Journal of Signal Processing, 2020, 36 (11): 1846- 1858. |
[1] | Tian MIAO, Hongcheng ZENG, He WANG, Jie CHEN. A fast extraction method of flood areas based on iterative threshold segmentation using spaceborne SAR data [J]. Systems Engineering and Electronics, 2022, 44(9): 2760-2768. |
[2] | Zhuling QIU, Yufei ZHA, Zhenyu LI, Yuming LI, Peng ZHANG, Chuan ZHU. Temporal regularized correlation filter tracking algorithm based on multi-model distillation [J]. Systems Engineering and Electronics, 2022, 44(8): 2448-2456. |
[3] | Jingming SUN, Shengkang YU, Jun SUN. Radar small sample target recognition method based on meta learning and its improvement [J]. Systems Engineering and Electronics, 2022, 44(6): 1839-1845. |
[4] | Dongning FU, Guisheng LIAO, Yan HUANG, Bangjie ZHANG, Xing WANG. Time-varying narrow-band interference suppression algorithm for SAR based on graph Laplacian embedding [J]. Systems Engineering and Electronics, 2022, 44(6): 1846-1853. |
[5] | Minghui GAI, Su ZHANG, Weitian SUN, Yude NI, Lei YANG. Structural-feature enhancement of SAR targets based on complex value compatible total variation [J]. Systems Engineering and Electronics, 2022, 44(6): 1862-1872. |
[6] | Penghui JI, Dahai DAI, Shiqi XING, Dejun FENG. Dense false moving targets generation method [J]. Systems Engineering and Electronics, 2022, 44(5): 1502-1511. |
[7] | Shuai WANG, Jianjun XIANG, Fang PENG, Shujuan TANG. Target tracking algorithm based on a new steepest descent method [J]. Systems Engineering and Electronics, 2022, 44(5): 1512-1519. |
[8] | Dong CHEN, Yanwei JU. Ship object detection SAR images based on semantic segmentation [J]. Systems Engineering and Electronics, 2022, 44(4): 1195-1201. |
[9] | Jingming SUN, Shengkang YU, Jun SUN. Pose sensitivity analysis of HRRP recognition based on deep learning [J]. Systems Engineering and Electronics, 2022, 44(3): 802-807. |
[10] | Lei YANG, Su ZHANG, Minghui GAI, Cheng FANG. High-resolution SAR imagery with enhancement of directional structure feature [J]. Systems Engineering and Electronics, 2022, 44(3): 808-818. |
[11] | Hengyan LIU, Limin ZHANG, Wenjun YAN, Zhaogen ZHONG, Qing LING, Xiaojun LIANG. LDPC decoding based on WBP-CNN algorithm [J]. Systems Engineering and Electronics, 2022, 44(3): 1030-1035. |
[12] | Kai SHAO, Miaomiao ZHU, Guangyu WANG. Modulation recognition method based on generative adversarial andconvolutional neural network [J]. Systems Engineering and Electronics, 2022, 44(3): 1036-1043. |
[13] | Shiyan SUN, Gang ZHANG, Weige LIANG, Bo SHE, Fuqing TIAN. Remaining useful life prediction method of rolling bearing based on time series data augmentation and BLSTM [J]. Systems Engineering and Electronics, 2022, 44(3): 1060-1068. |
[14] | Xi ZHANG, Zhengmeng JIN, Yaqin JIANG. Total variation algorithm with depth image priors for image colorization [J]. Systems Engineering and Electronics, 2022, 44(2): 385-393. |
[15] | Junjie WANG, Dejun FENG, Weidong HU. Two-dimensional SAR image modulation method based on time-varying materials [J]. Systems Engineering and Electronics, 2022, 44(2): 455-462. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||