A Review: Object Detection and Classification Using Side Scan Sonar Images via Deep Learning Techniques
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43009-1_20
Reference38 articles.
1. Anitha, U., &Malarkkan, S. (2016). Analysis of edge detection techniques for side scan sonar image using block processing and fuzzy logic methods. Advances in Intelligent Systems and Computing, 363–370. https://doi.org/10.1007/978-981-10-1678-3_35.
2. Brissette, M., & Clarke, J. (1999). Side Scan versus multibeam echosounder object detection: A comparative analysis. International Hydrographic Review, 76.
3. Chang, R., Wang, Y., Hou, J., Qiu, S., Nian, R., He, B., & Lendasse, A. (2016). Underwater object detection with efficient shadow-removal for side scan sonar images. In OCEANS 2016, Shanghai. https://doi.org/10.1109/oceansap.2016.7485696.
4. Kar, S., & Kar, S. (2023). Pedagogical considerations in the new normal: From tradition to technology. In: A. Choudhury, A. Biswas, & S. Chakraborti, (Eds.), Digital learning based education. Advanced Technologies and Societal Change. Springer. https://doi.org/10.1007/978-981-19-8967-4_6.
5. Buscombe, D. (2017). Shallow water benthic imaging and substrate characterization using recreational-grade sidescan-sonar. Environmental Modelling & Software, 89, 1–18.
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