Anchor-Free SAR Ship Instance Segmentation With Centroid-Distance Based Loss

Anchor-Free SAR Ship Instance Segmentation With Centroid-Distance Based Loss

Instance segmentation methods for synthetic aperture radar (SAR) ship imaging have certain unsolved problems. 1) Most of the anchor-based detection algorithms encounter difficulties in tuning the anchor-related parameters and high computational costs. 2) Different tasks share the same features witho...

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Bibliographic Details
Main Authors: Fei Gao, Yiyang Huo, Jun Wang, Amir Hussain, Huiyu Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anchor-free
convolutional neural network (CNN)
instance segmentation
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9594445/

Internet

https://ieeexplore.ieee.org/document/9594445/

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