Hybrid Artificial Neural Networks for Modeling Shallow-Water Bathymetry via Satellite Imagery

被引：0
|
作者：
Kaloop, Mosbeh R. [1 ,2 ,3 ]
El-Diasty, Mohammed [4 ,5 ]
Hu, Jong Wan [6 ,7 ]
Zarzoura, Fawzi [8 ]
机构：
[1] Incheon National University, Department of Civil and Environmental Engineering, Incheon,22012, Korea, Republic of
[2] Incheon National University, Incheon Disaster Prevention Research Center, Incheon,22012, Korea, Republic of
[3] Mansoura University, Public Works and Civil Engineering Department, Mansoura,35516, Egypt
[4] Mansoura University, Public Works and Civil Engineering Department, Mansoura,35516, Egypt
[5] Sultan Qaboos University, Civil and Architectural Engineering Department, Muscat,123, Oman
[6] Incheon National University, Department of Civil and Environmental Engineering, Incheon,22012, Korea, Republic of
[7] Incheon National University, Incheon Disaster Prevention Research Center, Incheon,22012, Korea, Republic of
[8] Mansoura University, Public Works and Civil Engineering Department, Mansoura,35516, Egypt
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2022年 / 60卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Particle swarm optimization (PSO) - Satellite imagery - Maps - Regression analysis - Infrared devices - Bathymetry - Machine learning - Mapping - Neural networks - Optical radar
引用
收藏
相关论文
共 50 条
  • [21] Shallow water bathymetry through two-medium photogrammetry using high resolution satellite imagery
    [J]. 2016, SinoMaps Press (45):
  • [22] Physics-informed neural networks for the shallow-water equations on the sphere
    Bihlo, Alex
    Popovych, Roman O.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 456
  • [23] Multiphase Echosounder to Improve Shallow-Water Surveys Hybrid Approach to Produce Bathymetry and Side Scan Data
    Brisson, Lisa
    Hiller, Tom
    [J]. SEA TECHNOLOGY, 2015, 56 (08) : 10 - 14
  • [24] ARTIFICIAL NEURAL NETWORKS FOR THE CLASSIFICATION OF SHRIMP FARM FROM SATELLITE IMAGERY
    Aroonsri, Ilada
    Sangpradid, Satith
    [J]. GEOGRAPHIA TECHNICA, 2021, 16 (02): : 149 - 159
  • [25] Fusion of Bathymetric LiDAR and Hyperspectral Imagery for Shallow Water Bathymetry
    Pan, Zhigang
    Glennie, Craig
    Fernandez-Diaz, Juan Carlos
    Shrestha, Ramesh
    Carter, Bill
    Hauser, Darren
    Singhania, Abhinav
    Sartori, Michael
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 3792 - 3795
  • [26] Modal Perturbation Theory in the Case of Bathymetry Variations in Shallow-Water Acoustics
    P. S. Petrov
    M. Yu. Trofimov
    A. D. Zakharenko
    [J]. Russian Journal of Mathematical Physics, 2021, 28 : 257 - 262
  • [27] High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery
    Eugenio, Francisco
    Marcello, Javier
    Martin, Javier
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (07): : 3539 - 3549
  • [28] Modal Perturbation Theory in the Case of Bathymetry Variations in Shallow-Water Acoustics
    Petrov, P. S.
    Trofimov, M. Yu.
    Zakharenko, A. D.
    [J]. RUSSIAN JOURNAL OF MATHEMATICAL PHYSICS, 2021, 28 (02) : 257 - 262
  • [29] STOCHASTIC MODELING OF DISPERSION IN SHALLOW-WATER
    HEEMINK, AW
    [J]. STOCHASTIC HYDROLOGY AND HYDRAULICS, 1990, 4 (02): : 161 - 174
  • [30] SHALLOW-WATER BOTTOM TOPOGRAPHY FROM RADAR IMAGERY
    VALENZUELA, GR
    CHEN, DT
    GARRETT, WD
    KAISER, JAC
    [J]. NATURE, 1983, 303 (5919) : 687 - 689
12345