Real-World ISAR Object Recognition and Relation Discovery Using Deep Relation Graph Learning

Real-World ISAR Object Recognition and Relation Discovery Using Deep Relation Graph Learning

Real-world inverse synthetic aperture radar (ISAR) object recognition is the most critical and challenging problem in computer vision tasks. In this paper, an efficient real-world ISAR object recognition and relation discovery method are proposed, based on deep relation graph learning. It not only h...

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Bibliographic Details
Main Authors: Bin Xue, Ningning Tong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep relation graph learning
dilated deformable
multi-scale relational-regularized convolutional sparse learning
inverse-synthetic-aperture-radar
real-world object recognition
Online Access:https://ieeexplore.ieee.org/document/8678648/

Internet

https://ieeexplore.ieee.org/document/8678648/

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