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1. Seabed Image Segmentation Using Machine Learning and Mean Field Annealing

open_access
Open Access
Author:
Witlin, Isaac
Title:
Seabed Image Segmentation Using Machine Learning and Mean Field Annealing
Graduate Program:
Electrical Engineering
Keywords:
Machine Learning
U-Net
Mean Field Annealing
Seabed Image
Backprojection
Wavelets
Texton
Segmentation
Semantic Segmentation
Unsupervised Segmentation
Seabed Composition
Synthetic Aperture Sonar (SAS)
Simple Linear Iterative Clustering (SLIC)
Convolutional Neural Networks (CNNs)
File:
Download Witlin_Masters_Thesis_Final_032825-1.pdf
Committee Members:
John Doherty, Professor in Charge/Director of Graduate Studies
David Jonathan Miller, Thesis Advisor/Co-Advisor
Daniel C. Brown, Committee Member
John F Doherty, Committee Member