Histogram Layers for Synthetic Aperture Sonar Imagery-Reference-Cited by-同舟云学术

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Histogram Layers for Synthetic Aperture Sonar Imagery

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
Short-container-title:

Author:

Peeples Joshua¹,Zare Alina²,Dale Jeffrey³,Keller James³

Affiliation:

1. Texas A&M University,Department of Electrical and Computer Engineering,College Station,TX,USA

2. University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA

3. University of Missouri,Department of Computer Science and Electrical Engineering,Columbia,MO,USA

Funder

National Science Foundation

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068862/10068777/10069737.pdf?arnumber=10069737

Reference30 articles.

1. Possibilistic fuzzy local information C-Means for sonar image segmentation

2. Comparison of possibilistic fuzzy local information C-means and possibilistic K-nearest neighbors for synthetic aperture sonar image segmentation

3. Textural Features for Image Classification

4. Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity

5. Robust Image Denoising for Sonar Imagery

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