ASSESSMENT OF MULTIBEAM BACKSCATTER TEXTURE ANALYSIS FOR SEAFLOOR SEDIMENT CLASSIFICATION

8 citations as recorded by crossref.

1. Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks X. Luo et al. 10.1109/ACCESS.2019.2927366
2. Applying a Multi-Method Framework to Analyze the Multispectral Acoustic Response of the Seafloor P. Menandro et al. 10.3389/frsen.2022.860282
3. Spatial distribution of benthic flora and fauna of coastal placentia bay, an ecologically and biologically significant area of the island of newfoundland, atlantic Canada J. Mackin-McLaughlin et al. 10.3389/fenvs.2022.999483
4. Dense Neural Network for Classification of Seafloor Sediment using Backscatter Mosaic Feature . Khomsin et al. 10.1051/bioconf/20248907004
5. MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model J. Wan et al. 10.3390/rs14153708
6. Enhanced angular range analysis: a novel object-based image analysis approach for seafloor characterisation C. Brennan et al. 10.1007/s11001-025-09574-7
7. Seabed Sediment Classification using Multi-Frequency MBES Bathymetric and Its Features . Khomsin et al. 10.1088/1755-1315/1276/1/012067
8. Advancing Seabed Bedform Mapping in the Kuźnica Deep: Leveraging Multibeam Echosounders and Machine Learning for Enhanced Underwater Landscape Analysis Ł. Janowski 10.3390/rs17030373