USING MULTIBEAM ACOUSTIC REMOTELY SENSED DATA TO INVESTIGATE SEABED SEDIMENT GRAIN SIZE CHARACTERISTICS

被引:0
|
作者
Huang, Zhi [1 ,2 ]
Siwabessy, Justy [1 ]
Heqin Cheng [2 ]
Nichol, Scott [1 ]
机构
[1] Geosci Australia, Natl Earth & Marine Observat Grp, Canberra, ACT, Australia
[2] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China
关键词
BACKSCATTER; ROUGHNESS;
D O I
10.1109/IGARSS.2016.7730987
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
引用
收藏
页码:7620 / 7622
页数:3
相关论文
共 50 条
  • [1] Using Multibeam Backscatter Data to Investigate Sediment-Acoustic Relationships
    Huang, Zhi
    Siwabessy, Justy
    Cheng, Heqin
    Nichol, Scott
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2018, 123 (07) : 4649 - 4665
  • [2] Predictive modelling of seabed sediment parameters using multibeam acoustic data: a case study on the Carnarvon Shelf, Western Australia
    Huang, Zhi
    Nichol, Scott L.
    Siwabessy, Justy P. W.
    Daniell, James
    Brooke, Brendan P.
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2012, 26 (02) : 283 - 307
  • [3] Retrieval of Remotely Sensed Sediment Grain Size Evolution Characteristics along the Southwest Coast of Laizhou Bay Based on Support Vector Machine Learning
    Yu, Xiang
    Zhan, Chao
    Liu, Yan
    Bi, Jialin
    Li, Guoqing
    Cui, Buli
    Wang, Longsheng
    Liu, Xianbin
    Wang, Qing
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (07)
  • [4] SAMPLE-SIZE FOR GROUND AND REMOTELY SENSED DATA
    CURRAN, PJ
    WILLIAMSON, HD
    [J]. REMOTE SENSING OF ENVIRONMENT, 1986, 20 (01) : 31 - 41
  • [5] SAMPLE SIZE FOR GROUND AND REMOTELY SENSED DATA.
    Curran, P.J.
    Williamson, H.D.
    [J]. 1600, (20):
  • [6] Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size
    Runya, Robert Mzungu
    McGonigle, Chris
    Quinn, Rory
    Howe, John
    Collier, Jenny
    Fox, Clive
    Dooley, James
    O'Loughlin, Rory
    Calvert, Jay
    Scott, Louise
    Abernethy, Colin
    Evans, Will
    [J]. REMOTE SENSING, 2021, 13 (08)
  • [7] Seabed sediment classification using multibeam backscatter data based on the selecting optimal random forest model
    Ji, Xue
    Yang, Bisheng
    Tang, Qiuhua
    [J]. APPLIED ACOUSTICS, 2020, 167
  • [8] CROP INVENTORY USING REMOTELY SENSED DATA
    NAVALGUND, RR
    PARIHAR, JS
    AJAI
    RAO, PPN
    [J]. CURRENT SCIENCE, 1991, 61 (3-4): : 162 - 171
  • [9] Classification of dambos using remotely sensed data
    Lupankwa, M
    Stewart, JB
    Owen, RJ
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH PART B-HYDROLOGY OCEANS AND ATMOSPHERE, 2000, 25 (7-8): : 589 - 591
  • [10] A Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data
    Stephens, David
    Diesing, Markus
    [J]. PLOS ONE, 2014, 9 (04):