Experimental study for detecting vehicle in flooding urban area using quad-pol SAR data

被引:0
|
作者
Ishikuro, Takanori [1 ]
Sato, Ryoichi [2 ]
Yamaguchi, Yoshio [3 ]
Yamada, Hiroyoshi [3 ]
机构
[1] Niigata Univ, Grad Sch Sci & Technol, Nishi Ku, 8050,2 No Cho, Ikarashi, Niigata 9502181, Japan
[2] Niigata Univ, Fac Educ, Nishi Ku, 8050,2 No Cho, Ikarashi, Niigata 9502181, Japan
[3] Niigata Univ, Fac Engn, Nishi Ku, 8050,2 No Cho, Ikarashi, Niigata 9502181, Japan
关键词
D O I
暂无
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 this paper, we examine polarimetric scattering features from a vehicle between buildings, to find out a useful polarimetric indicator for accurately detecting it under flooding condition by using polarimetric SAR (PolSAR) data. To acquire PolSAR data for a scaled vehicle model, polarimetric scattering measurement is carried out in anechoic chamber at Ku-band. The model considered is composed of a small conducting rectangular parallelepiped (vehicle) surrounded by dielectric ones (buildings). They are both set on a conducting plate (flood water surface). In the image analysis for the quad-pol SAR data acquired by the measurement, some polarimetric analysis methods are executed. It is confirmed from the results of the analyses that the phase difference of HH-VV co-pol ratio is useful to detect/identify the vehicle model not only in the lit region but also in the shadow region of the buildings valley.
引用
收藏
页码:356 / 358
页数:3
相关论文
共 50 条
  • [41] Rice Mapping Using RADARSAT-2 Dual- and Quad-Pol Data in a Complex Land-Use Watershed: Cau River Basin (Vietnam)
    Hoang, Huong Kim
    Bernier, Monique
    Duchesne, Sophie
    Tran, Y. Minh
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (07) : 3082 - 3096
  • [42] Eigenvalue-Based Urban Area Extraction Using Polarimetric SAR Data
    Quan, Sinong
    Xiong, Boli
    Xiang, Deliang
    Zhao, Lingjun
    Zhang, Siqian
    Kuang, Gangyao
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (02) : 458 - 471
  • [43] Flood Area Observation Using Quad-polarimetric SAR Data Based on Model-based Decomposition
    Sato, Ryoichi
    Kubo, Ryunosuke
    Yamada, Hiroyoshi
    2021 7TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2021,
  • [44] Comparing and combining the capability of detecting earthquake damages in urban areas using SAR and optical data
    Bignami, C
    Chini, M
    Pierdicca, N
    Stramondo, S
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 55 - 58
  • [45] Studying the benefits of carpooling in an urban area using automatic vehicle identification data
    Li, Ruimin
    Liu, Zhiyong
    Zhang, Ruibo
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 93 : 367 - 380
  • [46] Urban Area Mapping from Polarimetric SAR data using Fuzzy Inference System
    Ahluwalia, Asmeet
    Manickam, Surendar
    Bhattacharya, Avik
    Porwal, Alok
    LAND SURFACE AND CRYOSPHERE REMOTE SENSING III, 2016, 9877
  • [47] Fundamental Study on Grasping Growth State of Paddy Rice Using Quad-Polarimetric SAR Data
    Ikeuchi, Tatsuya
    Sato, Ryoichi
    Yamaguchi, Yoshio
    Yamada, Hiroyoshi
    IEICE TRANSACTIONS ON ELECTRONICS, 2023, E106C (04) : 144 - 148
  • [48] Recurrent Neural Network for Estimating Speed Using Probe Vehicle Data in an Urban Area
    Yang, Jae Hwan
    Kim, Dong-Kyu
    Kho, Seung-Young
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (01) : 518 - 531
  • [49] Experimental study on Polarimetric SAR Tomography using Pi-SAR-L2 data
    Suzuki, Kenichiro
    Yamada, Hiroyoshi
    Ohki, Masato
    Yamaguchi, Yoshio
    Sato, Ryoichi
    2018 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2018,
  • [50] Kotrupi landslide deformation study in non-urban area using DInSAR and MTInSAR techniques on Sentinel-1 SAR data
    Niraj, K. C.
    Gupta, Sharad Kumar
    Shukla, Dericks Praise
    ADVANCES IN SPACE RESEARCH, 2022, 70 (12) : 3878 - 3891