ISAR Images Segmentation Based on Spatially Variant Mixture Multiscale Autoregressive Model

ISAR images segmentation play a key role for characteristic extraction, target recognition, and target surveillance. This paper proposes a novel segmentation method of Inverse synthetic aperture radar (ISAR) images, which employees a spatially variant mixture multiscale autoregressive (SVMMAR) model...

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Bibliographic Details

Published in:	2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) pp. 2170 - 2174
Main Authors:	Ju, Yanwei, Zhang, Yan, Guo, Feng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2018
Subjects:	Computational modeling Estimation Image segmentation Inverse synthetic aperture radar ISAR images least square estimation Noise Spatial resolution Speckle Stochastic processes Surveillance SVMMAR model Target recognition
Online Access:	Get full text
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