Results 21 to 30 of about 9,170,751 (397)

A Lightweight, Arbitrary-oriented SAR Ship Detector via Feature Map-based Knowledge Distillation

open access: yesLeida xuebao, 2023
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

open access: yesIEEE Sensors Journal, 2021
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]

open access: yesFuture Internet, 2021
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

open access: yesJournal of Marine Science and Engineering, 2022
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

open access: yesInternational Journal of Aerospace Engineering, 2020
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

open access: yesIET Radar, Sonar & Navigation, 2023
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

open access: yesFrontiers of Physics, 2022
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

open access: yesSensors, 2017
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]

open access: yesSensors (Basel), 2023
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 with a Residual Network and the Optimized Feature Extraction Method

open access: yesApplied Sciences, 2021
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

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