Multi-Scale Convolutional Neural Networks for Space Infrared Point Objects Discrimination

Multi-Scale Convolutional Neural Networks for Space Infrared Point Objects Discrimination

Object discrimination plays an important role in an infrared (IR) imaging system. However, at a long observing distance, the presence of detector noise and the absence of robust features make space objects' discrimination difficult to tackle with. In this paper, a multi-scale convolutional neur...

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Bibliographic Details
Main Authors: Qiuqun Deng, Huanzhang Lu, Huamin Tao, Moufa Hu, Fei Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
space point objects
infrared radiation
discrimination
multi-scale
Online Access:https://ieeexplore.ieee.org/document/8636952/

Internet

https://ieeexplore.ieee.org/document/8636952/

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