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CCNet: A high-speed cascaded convolutional neural network for ship detection with multispectral images
ZHANG Zhong-Xing;   LI Hong-Long;   ZHANG Guang-Qian;   ZHU Wen-Ping;   LIU Li-Yuan;   LIU Jian;   WU Nan-Jian
2019
Source PublicationJournal of Infrared and Millimeter Waves (JIRMW)
Volume38Issue:3Pages:290-295
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.semi.ac.cn/handle/172111/29550
Collection半导体超晶格国家重点实验室
Recommended Citation
GB/T 7714
ZHANG Zhong-Xing; LI Hong-Long; ZHANG Guang-Qian; ZHU Wen-Ping; LIU Li-Yuan; LIU Jian; WU Nan-Jian. CCNet: A high-speed cascaded convolutional neural network for ship detection with multispectral images[J]. Journal of Infrared and Millimeter Waves (JIRMW),2019,38(3):290-295.
APA ZHANG Zhong-Xing; LI Hong-Long; ZHANG Guang-Qian; ZHU Wen-Ping; LIU Li-Yuan; LIU Jian; WU Nan-Jian.(2019).CCNet: A high-speed cascaded convolutional neural network for ship detection with multispectral images.Journal of Infrared and Millimeter Waves (JIRMW),38(3),290-295.
MLA ZHANG Zhong-Xing; LI Hong-Long; ZHANG Guang-Qian; ZHU Wen-Ping; LIU Li-Yuan; LIU Jian; WU Nan-Jian."CCNet: A high-speed cascaded convolutional neural network for ship detection with multispectral images".Journal of Infrared and Millimeter Waves (JIRMW) 38.3(2019):290-295.
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CCNet_面向多光谱图像的高速船只检测(603KB)期刊论文作者接受稿限制开放CC BY-NC-SAApplication Full Text
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