Multi-task fully convolutional networks for building segmentation on SAR image

Multi-task fully convolutional networks for building segmentation on SAR image

Fully convolutional networks (FCN) and related advanced variants have attached outstanding performance on optical image semantic segmentation. However, they do not obtain similar performance gain on synthetic aperture radar (SAR) image if they are directly applied due to the differences between opti...

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Bibliographic Details
Main Authors: Zenghui Zhang, Weiwei Guo, Wenhao Yu, Wenxian Yu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
radar imaging
image classification
image segmentation
synthetic aperture radar
branched sub-task
entire networks
main network
related sub-task
particular buildings targets
multitask fully convolutional networks
building segmentation
sar image
optical image semantic segmentation
similar performance gain
synthetic aperture radar image
missing alarm rate
building targets
multitask fcn
original fcn
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0569

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0569

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