Research on De-noising of SAR Image based on Wavelet Transform

被引:0
|
作者
Wu, Di [1 ]
Cheng, Hong [1 ]
Zhang, Feng-Jing [1 ]
Wang, Zhi-Qiang
Bai, Xin-Wei
Yu, Guang
机构
[1] Air Force Aviat Univ, Changchun, Jilin Province, Peoples R China
关键词
SAR; wavelet transform; noise;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the technology developing, the war of information becomes the most important reasons of the victory of the war nowadays. The SAR image is the major way of scout, it is a very hot topic of the research. SAR makes the picture based on the microwave coherent, so that it always has noise. And the noise makes large impact on the image. Therefore it does make sense that removing the noise of SAR image. In this paper, the method of SAR image noise removing is based on wavelet transform. Make the noise variance of large scale equal to the noise variance of fine scale. And we find out the wavelet coefficient of the noise manifest as a high value in the horizontal, vertical and diagonal high frequency coefficient. Finally do fuzzy threshold processing of wavelet coefficient.
引用
收藏
页码:584 / 589
页数:6
相关论文
共 50 条
  • [1] SAR image de-noising by wavelet transform based on lifting scheme
    Ding, Xianwen
    Huang, Weigen
    [J]. MIPPR 2007: MULTISPECTRAL IMAGE PROCESSING, 2007, 6787
  • [2] The Research of Underwater Image De-noising Method Based on Adaptive Wavelet Transform
    Lei Fei
    Wang Yingying
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 2521 - 2525
  • [3] Image De-noising using Discrete Wavelet transform
    Mohideen, S. Kother
    Perumal, S. Arumuga
    Sathik, M. Mohamed
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (01): : 213 - 221
  • [4] De-noising of digital image correlation based on stationary wavelet transform
    Guo, Xiang
    Li, Yulong
    Suo, Tao
    Liang, Jin
    [J]. OPTICS AND LASERS IN ENGINEERING, 2017, 90 : 161 - 172
  • [5] Research of the Signal De-noising in Life Detection Based on Wavelet Transform
    Zhang Zhen
    Ru Yi
    [J]. 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 2, PROCEEDINGS, 2009, : 15 - 18
  • [6] Improving de-noising by coefficient de-noising and dyadic wavelet transform
    Zhu, HL
    Kwok, JI
    Qu, LS
    [J]. 16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 273 - 276
  • [7] Reducer vibration de-noising signal research based on wavelet transform
    Yu, Guangbin
    Huang, Long
    Dai, Bing
    Wu, Xuemei
    Ma, Wensheng
    [J]. MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING, 2013, 274 : 225 - +
  • [8] De-noising algorithm for SAR image based on enhanced contourlet transform domain
    Lu, Changhua
    Sheng, Liuqing
    Liu, Shousheng
    [J]. INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
  • [9] Microarray image de-noising using stationary wavelet transform
    Wang, XH
    Istepanian, RSH
    Song, YH
    [J]. ITAB 2003: 4TH INTERNATIONAL IEEE EMBS SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY APPLICATIONS IN BIOMEDICINE, CONFERENCE PROCEEDINGS: NEW SOLUTIONS FOR NEW CHALLENGES, 2003, : 15 - 18
  • [10] A De-noising Algorithm of Medical Ultrasonic Image Based on Morphology and Wavelet Transform
    Wang, Shao-bo
    Guo, Ye-cai
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 70 - 73