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MULS-Net: A multilevel supervised network for ship tracking from low-resolution remote-sensing image sequences
Yuan Li,
Qizhi Xu
*
, Ziyang Kong,
Wei Li
*
此作品的通讯作者
机电学院
信息与电子学院
Beijing Institute of Technology
科研成果
:
期刊稿件
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文章
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同行评审
3
引用 (Scopus)
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探究 'MULS-Net: A multilevel supervised network for ship tracking from low-resolution remote-sensing image sequences' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Image Sequence
100%
Target Tracking
50%
Tasks
25%
Frame Rate
25%
Joints (Structural Components)
25%
Detecting Target
25%
Input Data
25%
Image Enhancement
25%
Texture Feature
25%
Network Component
25%
Computer Science
Remote Sensing Image
100%
Image Sequence
100%
Complex Task
25%
Tracking Method
25%
Image Enhancement
25%
Texture Feature
25%
Multiple Component
25%
Network Component
25%
Earth and Planetary Sciences
Remote Sensing
100%
Tracking (Position)
50%
State of the Art
25%
Image Enhancement
25%
Ship Detection
25%