Study on Active Tracking of Underwater Acoustic Target Based on Deep Convolution Neural Network

Active Learning for Recognition of Shipwreck Target in Side-Scan Sonar Image

(2019) Bangyan Zhu et al.   Remote Sensing

Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body

(2019) Huu-Thu Nguyen et al.   SENSORS

Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition

(2018) et al.   SENSORS

Deep features based on a DCNN model for classifying imbalanced weld flaw types

(2018) Wenhui Hou et al.   MEASUREMENT

Applying multibeam sonar and mathematical modeling for mapping seabed substrate and biota of offshore shallows

(2017) Kristjan Herkül et al.   ESTUARINE COASTAL AND SHELF SCIENCE

Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification

(2017) Weiwei Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An overview of sonar and electromagnetic waves for underwater communication

(2012) Mohd AnsorBin Yusof et al.   IETE TECHNICAL REVIEW

Background and Clutter Mixture Distributions for Active Sonar Statistics

(2011) Douglas A. Abraham et al.   IEEE JOURNAL OF OCEANIC ENGINEERING