A method of removing ISAR image stripe noise based on the target axis and the energy band analysis

Yuqi Yang; Xiaoguang Gao; Xiaoyi Feng; Jianping Fan

doi:10.1016/j.proenv.2011.12.008

A method of removing ISAR image stripe noise based on the target axis and the energy band analysis

Yuqi Yang, Xiaoguang Gao, Xiaoyi Feng, Jianping Fan

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

ISAR image after image forming are often mixed with various stripe noise to affect the image quality. In this paper, we propose a method based on the target axis and the target energy band analysis of ISAR, combined with curve fitting to remove the noise stripes of ISAR image. And the segmentation results of ISAR target with stripe noise removed show that the proposed method can effectively suppress Stripe Noise and protect the weak scattering points within the target area.

Original language	English
Pages (from-to)	43-49
Number of pages	7
Journal	Procedia Environmental Sciences
Volume	11
Issue number	PART A
DOIs	https://doi.org/10.1016/j.proenv.2011.12.008
State	Published - 2011
Event	2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2011 - Haikou, China Duration: 14 Dec 2011 → 15 Dec 2011

Keywords

Curve fitting
Image segmentation
ISAR imaging
Stripe Noise
Target axis

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10.1016/j.proenv.2011.12.008

Cite this

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title = "A method of removing ISAR image stripe noise based on the target axis and the energy band analysis",

abstract = "ISAR image after image forming are often mixed with various stripe noise to affect the image quality. In this paper, we propose a method based on the target axis and the target energy band analysis of ISAR, combined with curve fitting to remove the noise stripes of ISAR image. And the segmentation results of ISAR target with stripe noise removed show that the proposed method can effectively suppress Stripe Noise and protect the weak scattering points within the target area.",

keywords = "Curve fitting, Image segmentation, ISAR imaging, Stripe Noise, Target axis",

author = "Yuqi Yang and Xiaoguang Gao and Xiaoyi Feng and Jianping Fan",

year = "2011",

doi = "10.1016/j.proenv.2011.12.008",

language = "英语",

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pages = "43--49",

journal = "Procedia Environmental Sciences",

issn = "1878-0296",

number = "PART A",

note = "2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2011 ; Conference date: 14-12-2011 Through 15-12-2011",

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TY - JOUR

T1 - A method of removing ISAR image stripe noise based on the target axis and the energy band analysis

AU - Yang, Yuqi

AU - Gao, Xiaoguang

AU - Feng, Xiaoyi

AU - Fan, Jianping

PY - 2011

Y1 - 2011

N2 - ISAR image after image forming are often mixed with various stripe noise to affect the image quality. In this paper, we propose a method based on the target axis and the target energy band analysis of ISAR, combined with curve fitting to remove the noise stripes of ISAR image. And the segmentation results of ISAR target with stripe noise removed show that the proposed method can effectively suppress Stripe Noise and protect the weak scattering points within the target area.

AB - ISAR image after image forming are often mixed with various stripe noise to affect the image quality. In this paper, we propose a method based on the target axis and the target energy band analysis of ISAR, combined with curve fitting to remove the noise stripes of ISAR image. And the segmentation results of ISAR target with stripe noise removed show that the proposed method can effectively suppress Stripe Noise and protect the weak scattering points within the target area.

KW - Curve fitting

KW - Image segmentation

KW - ISAR imaging

KW - Stripe Noise

KW - Target axis

UR - http://www.scopus.com/inward/record.url?scp=84863147416&partnerID=8YFLogxK

U2 - 10.1016/j.proenv.2011.12.008

DO - 10.1016/j.proenv.2011.12.008

M3 - 会议文章

AN - SCOPUS:84863147416

SN - 1878-0296

VL - 11

SP - 43

EP - 49

JO - Procedia Environmental Sciences

JF - Procedia Environmental Sciences

IS - PART A

T2 - 2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2011

Y2 - 14 December 2011 through 15 December 2011

ER -

A method of removing ISAR image stripe noise based on the target axis and the energy band analysis

Abstract

Keywords

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