SUPPORT VECTOR MACHINE AND DECISION TREE BASED CLASSIFICATION OF SIDE-SCAN SONAR MOSAICS USING TEXTURAL FEATURES

9 citations as recorded by crossref.

1. Dual-Path Residual “Shrinkage” Network for Side-Scan Sonar Image Classification F. Ruan et al. 10.1155/2022/6962838
2. Shuffle-RDSNet: a method for side-scan sonar image classification with residual dual-path shrinkage network Q. Ge et al. 10.1007/s11227-024-06227-1
3. Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size R. Runya et al. 10.3390/rs13081539
4. Zero shot objects classification method of side scan sonar image based on synthesis of pseudo samples C. Li et al. 10.1016/j.apacoust.2020.107691
5. Classification and Analysis of Seafloor Sediments Using Hidden Features From Combined Imaging Mechanism and Seafloor Reflection Model C. Huang et al. 10.1109/TGRS.2024.3522893
6. SS-YOLO: A Lightweight Deep Learning Model Focused on Side-Scan Sonar Target Detection N. Yang et al. 10.3390/jmse13010066
7. Mapping mangrove in Dongzhaigang, China using Sentinel-2 imagery N. Chen 10.1117/1.JRS.14.014508
8. Semi-Automated Classification of Side-Scan Sonar Data for Mapping Sabellaria spinulosa Reefs in the Brown Bank, Dutch Continental Shelf T. Gaida et al. 10.3390/jmse13010074
9. Small-Sample Seabed Sediment Classification Based on Deep Learning Y. Zhao et al. 10.3390/rs15082178