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A Low-Frequency Sonar for SensorAdaptive, Multistatic, Detection and Classification of Underwater Targets with AUVs

机译：低频声纳，用于自适应水下机器人水下目标的传感器自适应，多静态，检测和分类

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Donald P. Eickstedt; Henrik Schmidt;
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年度 2003
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1. Fuzzy Preprocessing and Clustering Analysis Method of Underwater Multiple Targets in Forward Looking Sonar Image for AUV Tracking [J] . Mingwei Sheng, Songqi Tang, Lei Wan, International Journal of Fuzzy Systems . 2020,第4期

机译：AUV跟踪前向声纳图像前水下多目标的模糊预处理和聚类分析方法
2. Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery [J] . Williams D.P., Fakiris E. IEEE Transactions on Geoscience and Remote Sensing . 2014,第10期

机译：利用环境信息改进声纳图像中的水下目标分类
3. HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals [J] . Taehwan KIM, Keunsung BAE IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences . 2011,第10期

机译：基于HMM的水下目标分类与合成声纳信号
4. A low-frequency sonar for sensor-adaptive, multistatic, detection and classification of underwater targets with AUVs [C] . Eickstedt D.P., Schmidt H. . -1

机译：低频声纳，用于通过水下机器人对传感器进行自适应，多静态，水下目标检测和分类
5. Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery. [D] . Kopacz, Justin. 2014

机译：最佳词典学习及其在合成孔径声纳图像中的水下目标检测中的应用。
6. A novel underwater dam crack detection and classification approach based on sonar images [O] . Pengfei Shi, Xinnan Fan, Jianjun Ni, -1

机译：基于声纳图像的水下大坝裂缝检测与分类新方法
7. Design and Development of a Littoral AUV for Underwater Target Localization and Homing Using Vision and SONAR Module [O] . R. K. Sinha, Aayush Jha, Faheem Ahmad, 2013

机译：使用视觉和声纳模块的水下目标定位和归巢的设计与开发
8. Forecasting Probability of Target Presence for Ping Control in Multistatic Sonar Networks using Detection and Tracking Models. [R] . Wakayama, C. Y., Grimmett, D. J., Zabinsky, Z. B. 2011

机译：用检测和跟踪模型预测多基地声纳网络中ping控制的目标存在概率。

A Low-Frequency Sonar for SensorAdaptive, Multistatic, Detection and Classification of Underwater Targets with AUVs

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