Adaptive Seabed Characterization With Hierarchical Bayesian Modeling of SAS Imagery
Author:
Funder
Office of Naval Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/8651575/08457486.pdf?arnumber=8457486
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
2. A Novel Multireceiver SAS RD Processor;IEEE Transactions on Geoscience and Remote Sensing;2024
3. An efficient method for the simulation of multireceiver SAS raw signal;Multimedia Tools and Applications;2023-09-30
4. High-order time lacunarity feature-aided multiple hypotheses tracking for underwater active small targets in high-clutter harbor environment;The Journal of the Acoustical Society of America;2023-04-01
5. Texture-Based Seafloor Characterization Using Gaussian Process Classification;IEEE Journal of Oceanic Engineering;2022-10
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