Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 2, 152(2024)
Automatic recognition method of ionospheric clutter and sea clutter for High Frequency Surface Wave Radar based on improved DeeplabV3+
[3] [3] SHELHAMER E, LONG J, DARRELL T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(4):640-651. doi:10. 1109/TPAMI.2016.2572683.
[4] [4] SONG Wei, ZHENG Nan, LIU Xiangchun, et al. An improved U-Net convolutional networks for seabed mineral image segmentation[J]. IEEE Access:Practical Innovations,Open Solutions, 2019(7):82744-82752. doi:10.1109/ACCESS.2019.2923753.
[5] [5] CHEN L C, PAPANDREOU G, KOKKINOS I, et al. Deeplab:semantic image segmentation with deep convolutional Nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(4): 834-848. doi:10. 1109/TPAMI.2017.2699184.
[6] [6] CHEN L C, ZHU Yukun, PAPAND R G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[M]. Cham:Springer, 2018:833-851. doi:10. 1007/978-3-030-01234-2_49.
[9] [9] CHEN Haotian, LEE S,YAO D, et al. Sea clutter image segmentation method of high frequency surface wave radar based on the improved Deeplab network[J]. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2022,E105.A(4):730-733. doi:10. 1587/transfun.2021EAL2057.
[11] [11] AHMAD F, HOU Wenguo, XIONG Jing, et al. Fully automated cardiac MRI segmentation using dilated residual network[J]. Medical Physics, 2023,50(4):2162-2175. doi:10. 1002/mp. 16108.
[12] [12] ZHU Yaolin, HUANG Jiayi,LI Yunhong,et al. Image identification of cashmere and wool fibers based on the improved Xception network[J]. Journal of King Saud University:Computer and Information Sciences, 2022,34( 10,Part B):9301-9310. doi:10. 1016/j. jksuci.2022.09.009.
[13] [13] WANG Wei, LI Yutao, ZOU Ting, et al. A novel image classification approach via Dense-MobileNet models[J]. Mobile Information Systems, 2020(2020):7602384. doi:10. 1155/2020/7602384.
[14] [14] WANG Jingjing,LUAN Zhenye,YU Zishu,et al. Superpixel segmentation with squeeze-and-excitation networks[J]. Signal Image and Video Processing, 2022, 16(5): 1161-1168. doi:10. 1007/s 11760-021-02066-2.
[15] [15] ZHAO Ruiyang,YAMAN B,ZHANG Yuxin. FastMRI+,clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data[J]. Scientific Data, 2022,9( 1): 152. doi:10. 1038/s41597-022-01255-z.
Get Citation
Copy Citation Text
SHEN Jiawei, YI Jianxin, WAN Xianrong, CHENG Feng. Automatic recognition method of ionospheric clutter and sea clutter for High Frequency Surface Wave Radar based on improved DeeplabV3+[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(2): 152
Category:
Received: Mar. 8, 2023
Accepted: --
Published Online: Aug. 14, 2024
The Author Email: YI Jianxin (jxyi@whu.edu.cn)