Submarine Sediment Classification
Submarine Sediment Classification is a methodological framework within acoustic remote sensing that distinguishes seabed sediment types by analyzing the interaction of acoustic signals with the seafloor, differentiating substrata based on their physical and acoustic properties.
11
Publications
442
Citations
30
Authors
16
Institutions
Publications per year
2017–2026
1
Parents
11
Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks
Xiaowen Luo, Xiaoming Qin, Ziyin Wu et al. · IEEE Access · 2019 · 50 citations · Full text
1–5 of 11
30
American Museum of Natural History, United States
2 publications · 107 citations
2
h-index
2
h-index
1
h-index
Korea Institute of Geoscience and Mineral Resources, South Korea
1 publications · 61 citations
1
h-index
1
h-index
1–5 of 30
16
University of Rhode Island
Kingston, United States
2 h-index
6 publications
321 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
34 citations
Naval Physical & Oceanographic Laboratory
Kochi, India
1 h-index
2 publications
26 citations
Instytut Oceanologii Polskiej Akademii Nauk
Sopot, Poland
1 h-index
1 publications
47 citations

Kongju National University
Gongju, South Korea
1 h-index
1 publications
61 citations

Polish Academy of Sciences
Warsaw, Poland
1 h-index
1 publications
47 citations

Defence Research and Development Organisation
New Delhi, India
1 h-index
2 publications
26 citations

University of St Andrews
St Andrews, United Kingdom
1 h-index
1 publications
34 citations
1–8 of 16
3 publications · 169 citations
3
h-index
2 publications · 47 citations
2
h-index
1 publications · 43 citations
1
h-index
1 publications · 47 citations
1
h-index
1 publications · 14 citations
1
h-index
1–5