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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Vydané v:	2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) s. 2170 - 2174
Hlavní autori:	Ju, Yanwei, Zhang, Yan, Guo, Feng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	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
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