An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes

Yanjiao Yang; Zegang Ding; Jingyun Liu; Qiang Gao; Xinzhe Yuan; Xiaojun Lu

doi:10.1109/IGARSS.2017.8127650

An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes

Yanjiao Yang
, Zegang Ding^*
, Jingyun Liu
, Qiang Gao
, Xinzhe Yuan
, Xiaojun Lu

^*此作品的通讯作者

Beijing Institute of Technology
National Satellite Ocean Application Service

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

In order to reduce speckle noise and maintain targets' characteristics in SAR image with low signal to noise(SNR), an adaptive speckle reduction algorithm based on the wavelet threshold de-noising and the Forward and Back(FAB) diffusion equation for marine scenes is proposed. First, a new wavelet thresholding de-noising function which can avoid shortcomings of other wavelet de-noising function such as Hard-thresholding, Soft-thresholding and Firm-thresholding function is proposed to filter part of noise and reduce the impact of noise on the FAB operation. Second, how to select suitable constant parameters is analyzed and the improved FAB operation is used to eliminate the influence of discontinuous points generated in wavelet operation, suppress the residual noise and stress targets such as bright points and edge. The effectiveness of the algorithm is verified by the experiments with the GF-3 image.

源语言	英语
主期刊名	2017 IEEE International Geoscience and Remote Sensing Symposium
主期刊副标题	International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
页	3082-3085
页数	4
ISBN（电子版）	9781509049516
DOI	https://doi.org/10.1109/IGARSS.2017.8127650
出版状态	已出版 - 1 12月 2017
已对外发布	是
活动	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, 美国期限: 23 7月 2017 → 28 7月 2017

丛书

姓名	International Geoscience and Remote Sensing Symposium (IGARSS)
卷	2017-July
ISSN（电子版）	2153-7003

会议

会议	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
国家/地区	美国
市	Fort Worth
时期	23/07/17 → 28/07/17

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 14 水下生物

访问文件

10.1109/IGARSS.2017.8127650

其它文件与链接

链接到 Scopus 的出版物

引用此

Yang, Y., Ding, Z., Liu, J., Gao, Q., Yuan, X., & Lu, X. (2017). An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes. 在 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (页码 3082-3085). 期刊论文 8127650 (International Geoscience and Remote Sensing Symposium (IGARSS) ; 卷 2017-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2017.8127650

Yang, Yanjiao ; Ding, Zegang ; Liu, Jingyun 等. / An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 3082-3085 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

@inproceedings{6951591caeec46149c8d7337d11af6b9,

title = "An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes",

abstract = "In order to reduce speckle noise and maintain targets' characteristics in SAR image with low signal to noise(SNR), an adaptive speckle reduction algorithm based on the wavelet threshold de-noising and the Forward and Back(FAB) diffusion equation for marine scenes is proposed. First, a new wavelet thresholding de-noising function which can avoid shortcomings of other wavelet de-noising function such as Hard-thresholding, Soft-thresholding and Firm-thresholding function is proposed to filter part of noise and reduce the impact of noise on the FAB operation. Second, how to select suitable constant parameters is analyzed and the improved FAB operation is used to eliminate the influence of discontinuous points generated in wavelet operation, suppress the residual noise and stress targets such as bright points and edge. The effectiveness of the algorithm is verified by the experiments with the GF-3 image.",

keywords = "FAB, GF-3, adaptive speckle reduction, wavelet transform",

author = "Yanjiao Yang and Zegang Ding and Jingyun Liu and Qiang Gao and Xinzhe Yuan and Xiaojun Lu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

year = "2017",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2017.8127650",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

}

Yang, Y, Ding, Z, Liu, J, Gao, Q, Yuan, X & Lu, X 2017, An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes. 在 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings., 8127650, International Geoscience and Remote Sensing Symposium (IGARSS) , 卷 2017-July, Institute of Electrical and Electronics Engineers Inc., 页码 3082-3085, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, 美国, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8127650

An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes. / Yang, Yanjiao; Ding, Zegang; Liu, Jingyun 等.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 3082-3085 8127650 (International Geoscience and Remote Sensing Symposium (IGARSS) ; 卷 2017-July).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes

AU - Yang, Yanjiao

AU - Ding, Zegang

AU - Liu, Jingyun

AU - Gao, Qiang

AU - Yuan, Xinzhe

AU - Lu, Xiaojun

PY - 2017/12/1

Y1 - 2017/12/1

N2 - In order to reduce speckle noise and maintain targets' characteristics in SAR image with low signal to noise(SNR), an adaptive speckle reduction algorithm based on the wavelet threshold de-noising and the Forward and Back(FAB) diffusion equation for marine scenes is proposed. First, a new wavelet thresholding de-noising function which can avoid shortcomings of other wavelet de-noising function such as Hard-thresholding, Soft-thresholding and Firm-thresholding function is proposed to filter part of noise and reduce the impact of noise on the FAB operation. Second, how to select suitable constant parameters is analyzed and the improved FAB operation is used to eliminate the influence of discontinuous points generated in wavelet operation, suppress the residual noise and stress targets such as bright points and edge. The effectiveness of the algorithm is verified by the experiments with the GF-3 image.

AB - In order to reduce speckle noise and maintain targets' characteristics in SAR image with low signal to noise(SNR), an adaptive speckle reduction algorithm based on the wavelet threshold de-noising and the Forward and Back(FAB) diffusion equation for marine scenes is proposed. First, a new wavelet thresholding de-noising function which can avoid shortcomings of other wavelet de-noising function such as Hard-thresholding, Soft-thresholding and Firm-thresholding function is proposed to filter part of noise and reduce the impact of noise on the FAB operation. Second, how to select suitable constant parameters is analyzed and the improved FAB operation is used to eliminate the influence of discontinuous points generated in wavelet operation, suppress the residual noise and stress targets such as bright points and edge. The effectiveness of the algorithm is verified by the experiments with the GF-3 image.

KW - FAB

KW - GF-3

KW - adaptive speckle reduction

KW - wavelet transform

UR - https://www.scopus.com/pages/publications/85041844070

U2 - 10.1109/IGARSS.2017.8127650

DO - 10.1109/IGARSS.2017.8127650

M3 - Conference contribution

AN - SCOPUS:85041844070

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3082

EP - 3085

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Yang Y, Ding Z, Liu J, Gao Q, Yuan X, Lu X. An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes. 在 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 3082-3085. 8127650. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS.2017.8127650

An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此