An Algorithm to Retrieve Precipitation with Synthetic Aperture Radar

被引:5
作者
Xie Ya'nan [1 ]
Liu Zhikun [1 ]
An Dawei [2 ]
机构
[1] Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China
[2] Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
关键词
microwave remote sensing; precipitation; retrieval algorithm; synthetic aperture radar; SIR-C/X-SAR; LAND; INVERSION; CLOUDS;
D O I
10.1007/s13351-016-5090-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper presents a new type of rainfall retrieval algorithm, called the model-oriented statistical and Volterra integration. It is a combination of the model-oriented statistical (MOS) and Volterra integral equation (VIE) approaches. The steps involved in this new algorithm can be briefly illustrated as follows. Firstly, information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar (SAR). Secondly, the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain. Finally, the rain rate can be calculated by using the MOS retrieval algorithm. Simulation results show that the proposed algorithm is effective and simple, and can lead to time savings of nearly 50% compared with MOS. An example of application of SAR data is also discussed, involving the retrieval of precipitation information over the South China Sea.
引用
收藏
页码:401 / 411
页数:11
相关论文
共 50 条
  • [21] MICROLOCAL ANALYSIS OF DOPPLER SYNTHETIC APERTURE RADAR
    Felea, Raluca
    Gaburro, Romina
    Greenleaf, Allan
    Nolan, Clifford
    INVERSE PROBLEMS AND IMAGING, 2019, 13 (06) : 1283 - 1307
  • [22] Principles Of Synthetic Aperture Radar
    R. Bamler
    Surveys in Geophysics, 2000, 21 : 147 - 157
  • [23] Quantum Synthetic Aperture Radar
    Lanzagorta, Marco
    Jitrik, Oliverio
    Uhlmann, Jeffrey
    Venegas-Andraca, Salvador E.
    RADAR SENSOR TECHNOLOGY XXI, 2017, 10188
  • [24] A Panoramic Synthetic Aperture Radar
    Nan, Yijiang
    Huang, Xiaojing
    Guo, Y. Jay
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [25] Autofocus algorithm for synthetic aperture radar imaging with large curvilinear apertures
    Bleszynski, E.
    Bleszynski, M.
    Jaroszewicz, T.
    INVERSE PROBLEMS, 2013, 29 (05)
  • [26] Adaptive compression algorithm results for complex synthetic aperture radar data
    Cirillo, FR
    Poehler, PL
    Ziemba, N
    ALGORITHM FOR SYNTHETIC APERTURE RADAR IMAGERY X, 2003, 5095 : 26 - 32
  • [27] A Novel Algorithm for Synthetic Aperture Radar Imaging Based on Compressed Sensing
    Bu, Hongxia
    Bai, Xia
    Tao, Ran
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 2210 - 2213
  • [28] Polar format algorithm of synthetic aperture radar imaging on spiral trajectory
    Li, Feng
    Yang, Wengu
    Wang, Zhou
    Yao, Di
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (19): : 5580 - 5583
  • [29] Synthetic Aperture Radar Image Denoising Algorithm Based on Deep Learning
    Fu Xiangwei
    Shan Huilin
    Lu Zongkui
    Wang Xingtao
    ACTA OPTICA SINICA, 2023, 43 (06)
  • [30] Enhanced Azimuth Resolution in Synthetic Aperture Radar Using the MUSIC Algorithm
    Oveis, Amir Hosein
    Martorella, Marco
    Sebt, Mohammad Ali
    Noroozi, Ali
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021, : 140 - 143