BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON ROOT-MUSIC ALGORITHM FOR SAR IMAGE

被引：2
|
作者：
Li, Xiaobo [1 ]
Chen, Jie [1 ]
Zhu, Yanqing [1 ]
机构：
[1] Beihang Univ, Sch Elect Informat Engn, Beijing, Peoples R China
来源：
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年
关键词：
SAR image; compressive sensing; block; root-music algorithm; signal reconstruction;
D O I：
10.1109/IGARSS.2012.6350959
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：
In order to effectively reduce the storage volume of complex image data in high-resolution synthetic aperture radar (SAR), blocked spectrum compressive framework [1][2] based on Root-MUSIC algorithm is proposed. In this paper block-wise processing [3] of SAR image method is introduced, which can effectively reduce the storage space of measurement matrix. Gaussian random matrix is employed as observation matrix [4][5] to obtain observed value of each sub-block. Model parameters can be calculated by means of Root-MUSIC algorithm. Spectrum signal is reconstructed from small amount of measurements. Simulation results with real spatial-sparse SAR image demonstrate that data storage capacity can be reduced to as low as 1.17%, which validate the effectiveness of the method.
引用
收藏
页码：2094 / 2096
页数：3
相关论文
共 50 条
  • [1] A NOVEL STRATEGY FOR IMPROVING ROOT-MUSIC BASED ON COMPRESSIVE SENSING
    Zhang, Xin
    Liu, Xiaoming
    Na, Zhenyu
    Liu, Chang
    Xu, Xiaoyan
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2015, 11 (06): : 2075 - 2087
  • [2] Research on SAR Image Reconstruction Based on Optimized Compressive Sensing Algorithm
    Tan, Linglong
    Wang, Fei
    Zhang, Fan
    TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018), 2018, 10806
  • [3] Compressive sensing based CFAR target detection algorithm for SAR image
    Zhang, Y. (yuzhang.whu@gmail.com), 1600, Editorial Board of Medical Journal of Wuhan University (39):
  • [4] Harmonic and interharmonic spectrum estimation based on root-MUSIC and GA
    Gao, Peisheng
    Gu, Xiangwen
    Wu, Weilin
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2008, 23 (06): : 109 - 113
  • [5] An Effective RCS Reconstruction Technique Based on Root-MUSIC Algorithm
    Ding, Pengcheng
    Que, Xiaofeng
    Hu, Jun
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2024, 23 (12): : 4892 - 4896
  • [6] A root-music algorithm for non circular sources
    Chargé, P
    Wang, Y
    Saillard, A
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 2985 - 2988
  • [7] An Improved Root-MUSIC Algorithm and MSE Analysis
    Wang, Dijie
    Chai, Rong
    Gao, Feifei
    2016 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2016, : 79 - 82
  • [8] Iterative root-MUSIC algorithm for DOA estimation
    Shaghaghi, Mahdi
    Vorobyov, Sergiy A.
    2013 IEEE 5TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2013), 2013, : 53 - +
  • [9] A novel block compressive sensing algorithm for SAR image formation
    Pournaghshband, Razieh
    Modarres-Hashemi, Mahmoud
    SIGNAL PROCESSING, 2023, 210
  • [10] Enhanced Root-MUSIC Algorithm Based on Matrix Reconstruction for Frequency Estimation
    Zhu, Yingjie
    Zhang, Wuxiong
    Yi, Huiyue
    Xu, Hui
    SENSORS, 2023, 23 (04)
12345