멀티빔 후방산란 영상자료를 이용한 해저질 분류 기법에 관한 연구

목차 (Table of Contents)

• 요약
• Abstract
• Ⅰ. 서론
• Ⅱ. 관련 연구
• Ⅲ. 기계학습 기반 해저질 분류 기법
• Ⅳ. 해저질 분류 기법 검증 방안
• Ⅴ. 결론
• REFERENCES

참고문헌 (Reference)

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4 K. Lee, "Seabed Classification Method with Enhanced Classification Speed"

5 S. B. Roh, "Optimization of Generalized Fuzzy Polynomial Neural Networks" 2 (2): 162-168, 2018

6 M. Wang, "Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data around Yuanzhi Island in the South China Sea" 18 (18): 1-20, 2018

7 "Korea Hydrographic and Oceanographic Agency"

8 A. C. Müller, "Introduction to Machine Learning with Python: A Guide for Data Scientists" O’Reilly Media, Inc 2016

9 L. A. Mayer, "Frontiers in Seafloor Mapping and Visualization" 27 : 7-18, 2006

10 E. Alevizos, "Examination of the Spatial Resolution and Discrimination Capability of Various Acoustic Seafloor Classification Techniques based on MBES Backscatter Data" Christian Albrechts University 2017

11 C. McGonigle, "Evaluation of Image-based Multibeam Sonar Backscatter Classification for Benthic Habitat Discrimination and Mapping at Stanton Banks" 81 (81): 423-437, 2009

12 J. M. Preston, "Compensation of Sonar Image Data Primarily for Seabed Classification"

13 J. T. Anderson, "Acoustic Seabed Classification: Current Practice and Future Directions" 65 (65): 1004-1011, 2008

14 D. Stephens, "A Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data" 9 (9): 1-14, 2014

15 D. G. Simons, "A Bayesian Approach to Seafloor Classification using Multi- beam Echo-sounder Backscatter Data" 70 : 1258-1268, 2009