A Lightweight, Arbitrary-oriented SAR Ship Detector via Feature Map-based Knowledge Distillation
In the Synthetic Aperture Radar (SAR) ship target detection task, the targets have a large aspect ratio and dense distribution, and they are arranged in arbitrary directions. The oriented bounding box-based detection methods can output accurate detection
Shiqi CHEN +4 more
doaj +1 more source
Micro-Doppler Based Target Recognition With Radars: A Review
With the deployment of radar in versatile scenarios and a wide variety of potential targets, demand for automatic classification of various targets is increasing. The wide variety of radar signatures from physically smaller targets due to lower velocity /
Ali Hanif +3 more
semanticscholar +1 more source
Underwater Target Recognition Based on Multi-Decision LOFAR Spectrum Enhancement: A Deep-Learning Approach [PDF]
Underwater target recognition is an important supporting technology for the development of marine resources, which is mainly limited by the purity of feature extraction and the universality of recognition schemes. The low-frequency analysis and recording
Jie Chen +3 more
semanticscholar +1 more source
STM: Spectrogram Transformer Model for Underwater Acoustic Target Recognition
With the evolution of machine learning and deep learning, more and more researchers have utilized these methods in the field of underwater acoustic target recognition.
Peng Li +4 more
semanticscholar +1 more source
Pose Estimation of Uncooperative Unknown Space Objects from a Single Image
Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known.
Xiaoyuan Ren, Libing Jiang, Zhuang Wang
doaj +1 more source
A target localisation method with monostatic radar via multi‐observation data association
Traditionally, radar‐based localisation systems are designed to deal with targets in line‐of‐sight (LOS) scenarios. However, the performance of those radar systems is limited by multipath echoes reflected from non‐line‐of‐sight (NLOS) targets and walls ...
Rui Ding +4 more
doaj +1 more source
Present status and challenges of underwater acoustic target recognition technology: A review
Future naval warfare has placed high demands on underwater targets’ target detection, target recognition, and opposition resistance, among other things. However, the ocean’s complex underwater acoustic environment and the evolving “stealth” technology of
Zhufeng Lei +3 more
semanticscholar +1 more source
Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density ...
Liang-Qun Li +3 more
doaj +1 more source
Integrating Target and Shadow Features for SAR Target Recognition. [PDF]
Synthetic aperture radar (SAR) sensor often produces a shadow in pairs with the target due to its slant-viewing imaging. As a result, shadows in SAR images can provide critical discriminative features for classifiers, such as target contours and relative positions.
Zhao Z, Xue X, Mariam I, Zhou X.
europepmc +4 more sources
Underwater Acoustic Target Recognition (UATR) remains one of the most challenging tasks in underwater signal processing due to the lack of labeled data acquisition, the impact of the time-space varying intrinsic characteristics, and the interference from
Feng Hong +4 more
semanticscholar +1 more source

