Feature clustering based discrimination of ship targets for SAR images

Feature clustering based discrimination of ship targets for SAR images

Synthetic aperture radar (SAR) is one of the most important and widely-used tools of large scale marine surveillance. Constant false alarm rate is tailored for maritime metallic target detection in SAR images. However, it is very difficult to distinguish ship targets from other metallic targets. Som...

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Bibliographic Details
Main Authors: Wei Ao, Feng Xu, Yutong Qian, Qian Guo
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
radar imaging
synthetic aperture radar
object detection
remote sensing by radar
pattern clustering
feature extraction
ships
image classification
geophysical image processing
manual features
sar ship targets
nonship targets
differentiate ship
11 alos-2 sar images
feature clustering based discrimination
maritime metallic target detection
metallic targets
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0564

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0564

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