Superpixel cosegmentation algorithm for synthetic aperture radar image change detection

Superpixel cosegmentation algorithm for synthetic aperture radar image change detection

Image segmentation has gained increasing popularity and has been widely applied in various image processing tasks recently. A simple linear iterative clustering (SLIC) superpixel generating algorithm for optical images based on k-means clustering approach works well in terms of computational simplic...

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Bibliographic Details
Main Authors: Ningyuan Shao, Huanxin Zou, Cheng Chen, Meilin Li, Jiachi Sun, Xianxiang Qin
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:The Journal of Engineering
Subjects:
optical images
image segmentation
radar imaging
pattern clustering
iterative methods
synthetic aperture radar
image colour analysis
speckle
synthetic aperture radar image change detection
image processing tasks
SLIC
computational simplicity
segmentation speed
inherent speckle noise
synthetic aperture radar images
improved similarity measure
pixel intensity
location similarity
CIELAB colour space
local clustering
constructed image
SAR image pairs
generated superpixels
subsequent change detection
superpixel cosegmentation algorithm
linear iterative clustering superpixel generating algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0193

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0193

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