激光与光电子学进展, 2020, 57 (8): 081015, 网络出版: 2020-04-03   

基于监督学习的全卷积神经网络多聚焦图像融合算法 下载: 1086次

Multi-Focus Image Fusion Algorithm Based on Supervised Learning for Fully Convolutional Neural Networks
作者单位
1 兰州交通大学电子与信息工程学院, 甘肃 兰州 730070
2 兰州交通大学测绘与地理信息学院, 甘肃 兰州 730070
3 地理国情监测技术应用国家地方联合工程研究中心, 甘肃 兰州 730070
引用该论文

李恒, 张黎明, 蒋美容, 李玉龙. 基于监督学习的全卷积神经网络多聚焦图像融合算法[J]. 激光与光电子学进展, 2020, 57(8): 081015.

Heng Li, Liming Zhang, Meirong Jiang, Yulong Li. Multi-Focus Image Fusion Algorithm Based on Supervised Learning for Fully Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081015.

参考文献

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李恒, 张黎明, 蒋美容, 李玉龙. 基于监督学习的全卷积神经网络多聚焦图像融合算法[J]. 激光与光电子学进展, 2020, 57(8): 081015. Heng Li, Liming Zhang, Meirong Jiang, Yulong Li. Multi-Focus Image Fusion Algorithm Based on Supervised Learning for Fully Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081015.

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