Automated method for tracing shorelines in L-band SAR images

被引:0
|
作者
Asaka, Tomohito [1 ]
Yamamoto, Yoshiyuki [2 ]
Aoyama, Sadayoshi [1 ]
Iwashita, Keishi [1 ]
Kudou, Katsuteru [1 ]
机构
[1] Nihon Univ, Coll Ind Technol, 1-2-1 Izumi, Narashino, Chiba 2758575, Japan
[2] Aichi Inst Technol, Fac Engn, Dept Urban Environm, Aichi 4700392, 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
Satellite-based optical imagery has been widely used to evaluate coastal erosion. However, it is difficult to define shoreline edges because the sand under seawater near the shoreline can often be seen in clear water in optical images. Synthetic aperture radar (SAR) images have the potential to be used to interpret the boundary between a sandy beach and seawater because of the unique characteristic of SAR image acquisition. The purpose of the present study is to propose an automated method for tracing shorelines in L-band SAR images. The automated method for tracing shorelines has three steps: 1) detection of shoreline edge detection; 2) masking of unwanted edges; and 3) automated shoreline tracing. To demonstrate the performance of the proposed algorithm a simulated shoreline was obtained from candidate shoreline edge pixels of ALOS/PALSAR amplitude imagery. Results demonstrate that the proposed algorithm can simulate shorelines with a high degree of accuracy while candidate shoreline edge pixels remain nearly unaffected by noise in L-band SAR images.
引用
收藏
页码:325 / 328
页数:4
相关论文
共 50 条
  • [1] USING L-BAND SAR IMAGES TO MAP COASTAL WETLANDS
    Storie, Joni
    Lawson, Andrew
    Storie, Christopher
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 757 - 759
  • [2] Correcting and Measuring Ionospheric Scintillation Amplitude Stripes in L-Band SAR Images
    Gan, Nan
    Ji, Yifei
    Tang, Feixiang
    Zhang, Yongsheng
    Dong, Zhen
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [3] POLARIMETRIC FEATURES ANALYSIS OF OIL SPILLS IN C-BAND AND L-BAND SAR IMAGES
    Zheng, Honglei
    Zhang, Yanmin
    Wang, Yunhua
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4683 - 4686
  • [4] L-band SAR-processor for the Chinese SAR satellite
    Ping, WJ
    Zhang, YJ
    Zhao, B
    Braun, HM
    Fritsch, B
    2004 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS AND ITS APPLICATIONS, PROCEEDINGS, 2004, : 399 - 402
  • [5] The L-band SAR pre-development
    Vogel, P
    Ludwig, M
    van't Klooster, K
    Head, A
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 769 - 773
  • [6] The L-band SAR pre-development
    Vogel, P
    Ludwig, M
    van't Klooster, K
    Head, A
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES VIII, 2004, 5570 : 124 - 132
  • [7] Measurement of sea level by L-band SAR
    Kim, SW
    Won, JS
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2106 - 2108
  • [8] Characteristic of L-band SAR ocean measurements
    Isoguchi, Osamu
    Shimada, Masanobu
    CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2013, : 144 - +
  • [9] PICTURE PROCESSING OF SAR L-BAND IMAGERY
    BRYAN, ML
    STROMBERG, WD
    FARR, T
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1977, 43 (06): : 743 - 743
  • [10] POLARIMETRIC CHARACTERISTICS OF L-BAND SAR IMAGES OF EARLY-STAGE DEFORESTATION AREAS
    Watanabe, Manabu
    Koyama, Christian
    Shimada, Masanobu
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 5330 - 5333