Synthetic Aperture Sonar Image Segmentation Using Adaptive, Learned Beam Steering
Author:
Affiliation:
1. Pennsylvania State University,Applied Research Laboratory,State College,PA,USA
2. Pennsylvania State University, School of EECS,University Park,PA,USA
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883235.pdf?arnumber=9883235
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3. Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering;ICIP,2009
4. Possibilistic fuzzy local information C-means with automated feature selection for seafloor segmentation
5. Target classification using multi-view synthetic aperture sonar imagery;de corbet;UACE,2019
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