Citation: | ZHU Guang-ming, ZHANG Wei, JIA Zan, LUO Zhi-bin, YANG Fan, WANG Min, ZHU Hong-yang, CUI Guang-de. Research on Implementation of External Synchronization in Scanning Thermal Imager Based on 288×4 Detector[J]. Infrared Technology , 2015, (3): 240-247. |
[1] | YE Zhihui, WU Jian, ZHAO Xiaozhong, WANG Wenjuan, SHAO Xinguang. Multimodal Object Detection Based on Feature Interaction and Adaptive Grouping Fusion[J]. Infrared Technology , 2025, 47(4): 468-474. |
[2] | LI Minglu, WANG Xiaoxia, HOU Maoxin, YANG Fengbao. An Object Detection Algorithm Based on Infrared-Visible Feature Enhancement and Fusion[J]. Infrared Technology , 2025, 47(3): 385-394. |
[3] | SUN Hongyu, LI Jun, YUAN Bo, ZHOU Yuchao. Deep Learning-Based Polarization Image Fusion Method[J]. Infrared Technology , 2025, 47(2): 193-200. |
[4] | CHEN Chaoyang, JIANG Yuanyuan. Infrared and Visible Image Fusion Based on Deep Image Decomposition[J]. Infrared Technology , 2024, 46(12): 1362-1370. |
[5] | ZHAO Songpu, YANG Liping, ZHAO Xin, PENG Zhiyuan, LIANG Dongxing, LIANG Hongjun. Object Detection in Visible Light and Infrared Images Based on Adaptive Attention Mechanism[J]. Infrared Technology , 2024, 46(4): 443-451. |
[6] | DUAN Jin, ZHANG Hao, SONG Jingyuan, LIU Ju. Review of Polarization Image Fusion Based on Deep Learning[J]. Infrared Technology , 2024, 46(2): 119-128. |
[7] | NING Dahai, ZHENG Sheng. An Object Detection Algorithm Based on Decision-Level Fusion of Visible and Infrared Images[J]. Infrared Technology , 2023, 45(3): 282-291. |
[8] | WANG Tianyuan, LUO Xiaoqing, ZHANG Zhancheng. Infrared and Visible Image Fusion Based on Self-attention Learning[J]. Infrared Technology , 2023, 45(2): 171-177. |
[9] | WU Yuanyuan, WANG Zhishe, WANG Junyao, SHAO Wenyu, CHEN Yanlin. Infrared and Visible Image Fusion Using Attention- Based Generative Adversarial Networks[J]. Infrared Technology , 2022, 44(2): 170-178. |
[10] | DING Jian, GAO Qingwei, LU Yixiang, SUN Dong. Infrared and Visible Image Fusion Algorithm Based on the Decomposition of Robust Principal Component Analysis and Latent Low Rank Representation[J]. Infrared Technology , 2022, 44(1): 1-8. |
1. |
邓长征,刘明泽,付添,弓萌庆,骆冰洁. 基于改进YOLOv7-Tiny的变电设备红外图像识别. 红外技术. 2025(01): 44-51 .
![]() | |
2. |
万军,周凯,何文磊. 基于分组特征提取的轻量型多源目标检测. 红外技术. 2025(03): 307-315 .
![]() | |
3. |
秦伟,段俊阳. 基于特征相似性的红外与可见光图像融合方法. 激光杂志. 2024(02): 119-123 .
![]() | |
4. |
关晓丹,郑东平,肖成. 基于全卷积网络的复杂背景红外弱小目标检测研究. 激光杂志. 2024(04): 254-258 .
![]() | |
5. |
吴建华,白永福,谢永生,秦会会. 多源信息融合的巡检机器人目标检测算法研究. 无线电工程. 2023(08): 1925-1933 .
![]() | |
6. |
王文霞,张文,何凯. 基于双模态特征增强的目标检测算法研究与应用. 激光与红外. 2023(09): 1364-1374 .
![]() | |
7. |
陈茹,雷旭,杨琦. 激光超声技术下的运动损伤非接触检测方法. 内蒙古师范大学学报(自然科学汉文版). 2023(06): 638-644 .
![]() |