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

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Nehalem Bank Backscatter Data Nehalem Bank Backscatter Data Backscatter Processing • Angle filter to correct for the influence of grazing angle on the grey level reflectance values (MBbackanglecorrect) July 17 th , 2006 MS Thesis Defense
Thesis Outline • Introduction – Background & Motivation – Multibeam Sonar Principles • Study Site and Data Set Description – Processing – Results • Benthic Habitat Classification – Background – 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 Quantitative Assessment SIM SIM Classified Image Backscatter Backscatter Image Dive Interpretation Textural Analysis Classified Image Qualitative Assessment Input Data Set Analysis Method 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: Data Specifics: - Collected using U
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 and 22: Quantitative Assessment Results Jul
Page 23 and 24: Thesis Outline • Introduction - B
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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