共 50 条
- [1] Automatic detection of sand ripple features in sidescan sonar imagery [J]. 2014 OCEANS - ST. JOHN'S, 2014,
- [2] Automated Change Detection Using Synthetic Aperture Sonar Imagery [J]. OCEANS 2009, VOLS 1-3, 2009, : 1062 - 1065
- [4] A Fast Target Detection Algorithm for Underwater Synthetic Aperture Sonar Imagery [J]. DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXIII, 2018, 10628
- [5] Comparison of Prescreening Algorithms for Target Detection in Synthetic Aperture Sonar Imagery [J]. DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXIII, 2018, 10628
- [6] Statistically Normalized Coherent Change Detection for Synthetic Aperture Sonar Imagery [J]. DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXI, 2016, 9823
- [7] SAND RIPPLE CHARACTERIZATION USING AN EXTENDED SYNTHETIC APERTURE SONAR MODEL AND MCMC SAMPLING METHODS [J]. 2013 OCEANS - SAN DIEGO, 2013,
- [8] Sand Ripple Characterization Using an Extended Synthetic Aperture Sonar Model and Parallel Sampling Method [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (10): : 5547 - 5559
- [9] Histogram Layers for Synthetic Aperture Sonar Imagery [J]. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 176 - 182
- [10] A UNIFIED SEMANTIC SEGMENTATION AND OBJECT DETECTION FRAMEWORK FOR SYNTHETIC APERTURE SONAR IMAGERY [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW, 2023,