The adaptive-loop-gain adaptive-scale CLEAN deconvolution of radio interferometric images

被引：0
|
作者：
L. Zhang
M. Zhang
X. Liu
机构：
[1] Chinese Academy of Sciences,Xinjiang Astronomical Observatory
[2] Chinese Academy of Sciences,Key Laboratory of Radio Astronomy
[3] University of Chinese Academy of Sciences,undefined
来源：
Astrophysics and Space Science | 2016年 / 361卷
关键词：
Methods: data analysis; Techniques: image processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
CLEAN algorithms are a class of deconvolution solvers which are widely used to remove the effect of the telescope Point Spread Function (PSF). Loop gain is one important parameter in CLEAN algorithms. Currently the parameter is fixed during deconvolution, which restricts the performance of CLEAN algorithms. In this paper, we propose a new deconvolution algorithm with an adaptive loop gain scheme, which is referred to as the adaptive-loop-gain adaptive-scale CLEAN (Algas-Clean) algorithm. The test results show that the new algorithm can give a more accurate model with faster convergence.
引用
收藏
相关论文
共 50 条
  • [1] The adaptive-loop-gain adaptive-scale CLEAN deconvolution of radio interferometric images
    Zhang, L.
    Zhang, M.
    Liu, X.
    [J]. ASTROPHYSICS AND SPACE SCIENCE, 2016, 361 (05)
  • [2] An adaptive loop gain selection for CLEAN deconvolution algorithm
    Li Zhang
    Long Xu
    Ming Zhang
    Zhong-Zu Wu
    [J]. Research in Astronomy and Astrophysics, 2019, 19 (06) : 39 - 44
  • [3] An adaptive loop gain selection for CLEAN deconvolution algorithm
    Zhang, Li
    Xu, Long
    Zhang, Ming
    Wu, Zhong-Zu
    [J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2019, 19 (06)
  • [4] ADAPTIVE DECONVOLUTION OF ASTRONOMICAL RADIO IMAGES
    CRAM, L
    YE, TS
    [J]. AUSTRALIAN JOURNAL OF PHYSICS, 1995, 48 (01): : 113 - 124
  • [5] Scale sensitive deconvolution of interferometric images - I. Adaptive Scale Pixel (Asp) decomposition
    Bhatnagar, S
    Cornwell, TJ
    [J]. ASTRONOMY & ASTROPHYSICS, 2004, 426 (02): : 747 - 754
  • [6] Adaptive-scale wide-field reconstruction for radio synthesis imaging
    Zhang, L.
    Mi, L. G.
    Zhang, M.
    Liu, X.
    He, C. L.
    [J]. ASTRONOMY & ASTROPHYSICS, 2020, 640 (640)
  • [7] Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images
    Qin, Binjie
    Shen, Zhuangming
    Fu, Zeshan
    Zhou, Zien
    Lv, Yisong
    Bao, Jinsong
    [J]. IEEE ACCESS, 2018, 6 : 330 - 343
  • [8] Robust fitting by adaptive-scale residual consensus
    Wang, HZ
    Suter, D
    [J]. COMPUTER VISION - ECCV 2004, PT 3, 2004, 3023 : 107 - 118
  • [9] An Adaptive-Scale Robust Estimator for Motion Estimation
    Thanh, Trung Ngo
    Nagahara, Hajime
    Sagawa, Ryusuke
    Mukaigawa, Yasuhiro
    Yachida, Masahiko
    Yagi, Yasushi
    [J]. ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2009, : 1673 - +
  • [10] Multiscale CLEAN Deconvolution of Radio Synthesis Images
    Cornwell, Tim J.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2008, 2 (05) : 793 - 801
12345