Target recognition from limited-angle backscatter data

被引：4
|
作者：
Marr, RA
Pommet, DA
Lammers, UHW
McGahan, RV
Fiddy, MA
机构：
[1] USAF, Res Lab, Bedford, MA 01731 USA
[2] Univ Massachusetts, Dept Elect & Comp Engn, Lowell, MA 01854 USA
来源：
IEEE ANTENNAS AND PROPAGATION MAGAZINE | 1999年 / 41卷 / 01期
关键词：
electromagnetic scattering inverse problems; electromagnetic imaging; image reconstruction;
D O I：
10.1109/74.755023
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With a certain number of data points, and a certain degree of detail in one's prior knowledge of a target set, it is possible to determine whether the best course of action is to shape the target or to form an image. To this end, a procedure has been developed that extrapolates these data in k space, thus improving the estimate of the target. By using some examples, it has been shown how to use this method to infer information about the target when very little backscatter data are available.
引用
收藏
页码：36 / 40
页数：5
相关论文
共 50 条
  • [31] Euler's Elastica Strategy for Limited-Angle Computed Tomography Image Reconstruction
    Zhang, Hanming
    Wang, Linyuan
    Duan, Yuping
    Li, Lei
    Hu, Guoen
    Yan, Bin
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2017, 64 (08) : 2395 - 2405
  • [32] Image reconstruction based on nonlinear diffusion model for limited-angle computed tomography
    Zhao, Xuying
    Jiang, Wenjin
    Zhang, Xinting
    Guo, Wenxiu
    Zhao, Yunsong
    Zhao, Xing
    INVERSE PROBLEMS, 2024, 40 (04)
  • [33] A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few-views and limited-angle data
    Hou, Xiaowen
    Teng, Yueyang
    Kang, Yan
    Qi, Shouliang
    MEDICAL PHYSICS, 2018, 45 (02) : 535 - 548
  • [34] TLIR: Two-layer iterative refinement model for limited-angle CT reconstruction
    Li, Qing
    Wang, Tao
    Li, Runrui
    Qiang, Yan
    Zhang, Bin
    Sun, Jijie
    Zhao, Juanjuan
    Wu, Wei
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 100
  • [35] Projection extrapolation routine for tight-frame limited-angle optical diffraction tomography
    Makowski, Piotr L.
    Ziemczonok, Michal
    OPTICS LETTERS, 2019, 44 (14) : 3442 - 3445
  • [36] Multi-scale dilated dense reconstruction network for limited-angle computed tomography
    Zhou, Haichuan
    Zhu, Yining
    Zhang, Huitao
    Zhao, Xing
    Zhang, Peng
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (07)
  • [37] QUANTITATIVE THREE-DIMENSIONAL RECONSTRUCTION OF LIMITED-ANGLE EXPERIMENTAL MEASUREMENTS IN DIFFRACTION TOMOGRAPHY
    Chang, Chen-Hao
    Su, Jing-Wei
    Hsu, Wei-Chen
    Sung, Kung-Bin
    Chou, Cheng-Ying
    2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2012, : 1667 - 1670
  • [38] Review of Sparse- View or Limited-Angle CT Reconstruction Based on Deep Learning
    Di, Jianglei
    Lin, Juncheng
    Zhong, Liyun
    Qian, Kemao
    Qin, Yuwen
    LASER & OPTOELECTRONICS PROGRESS, 2023, 60 (08)
  • [39] A neural network with encoded visible edge prior for limited-angle computed tomography reconstruction
    Ma, Genwei
    Zhang, Yinghui
    Zhao, Xing
    Wang, Tong
    Li, Hongwei
    MEDICAL PHYSICS, 2021, 48 (10) : 6464 - 6481
  • [40] Image reconstruction method for segmental limited-angle CT based on coupled relative structure
    Gong, Changcheng
    Song, Qiang
    Liu, Jianxun
    APPLIED MATHEMATICAL MODELLING, 2025, 144
12345