A Comparison of Seafloor Classification Methods Through the Use ...

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Quantitative Assessment Results Error Matrices (Simplified Classification) Error Matrices Statistics KHAT
Thesis Outline • Introduction – Background & Motivation – Multibeam Sonar Principles – Benthic Habitat Classifications • Methods and Schemes • Study Site and Data Set Description – Processing – Results • Methods Tests and Results – Topographic Classification – Quantitative Assessment – Backscatter Classification • Discussion of Results • Conclusions and Future Implications • Acknowledgements Model of Classification Procedures Topographic BTM BTM Classified Image DEM Qualitative Assessment Reference Points Error Matrices SIM SIM Classified Image Backscatter Backscatter Image Dive Interpretation Textural Analysis Classified Image Qualitative Assessment Input Data Set Analysis Method Quantitative Assessment Result Assessment July 17 th , 2006 MS Thesis Defense
Page 1 and 2: A Comparison of Seafloor Classifica
Page 3 and 4: Background Timeline of Significant
Page 5 and 6: Motivation Study Goals Identify the
Page 7 and 8: Active Remote Sensing Multibeam Son
Page 9 and 10: Data Specifics: - Collected using U
Page 11 and 12: Thesis Outline • Introduction - B
Page 13 and 14: Benthic Terrain Modeler Classificat
Page 15 and 16: SIM Classification Surface Interpre
Page 17 and 18: Topographic Classification Results
Page 19 and 20: Thesis Outline • Introduction - B
Page 21: Quantitative Assessment Results Jul
Page 25 and 26: Textural Analysis Methods Backscatt
Page 27 and 28: Strengths Rocky Ridges, Low Relief
Page 29 and 30: Discussion Data Set • Topographic
Page 31 and 32: Backscatter Classification Discussi
Page 33 and 34: Conclusions Study Goals 2. How do y
Page 35 and 36: • Major Advisor: Chris Goldfinger
Page 37 and 38: Benthic Classification Benthic habi
Page 39 and 40: What are the benefits to classifica
Page 41: 4. Can the texture of multibeam son

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