1.四川轻化工大学,人工智能四川省重点实验室,宜宾 644000; 2.成都西测防务科技有限公司,成都 610000; 3.四川轻化工大学,企业信息化与物联网测控技术四川省高校重点实验室,宜宾64400
TP391.7
企业信息化与物联网测控技术四川省高校重点实验室开放基金(2021WYY01); 人工智能四川省重点实验室(2020RZY02); 四川轻化工大学研究生课程建设项目(KA202030); 四川省科技厅项目(2020JDJQ0075,2020YFSY0027)资助
Chen Mingju
1. Sichuan University of Science and Engineering, Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, 644000, China; 3. Sichuan University of Science and Engineering, Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things, Yibin 644000, China1. Sichuan University of Science and Engineering, Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, 644000, China; 2. Chengdu Xice Defence Technology CO. LTD, Chengdu 610000, China; 3. Sichuan University of Science and Engineering, Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things, Yibin 644000, China
徐慧娴,黄坤超,陈明举,熊兴中,田洋川.基于深层次多分类生成对抗网络的红外与可见光图像融合方法[J].电子测量技术,2022,45(4):126-133
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