Results 21 to 30 of about 1,891 (207)
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5
Remote Sensing, 2021 To overcome the shortcomings of the traditional manual detection of underwater targets in side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is proposed in this paper. This method consists of image preprocessing, sampling,
Yongcan Yu +5 more
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A Channelization-Based DOA Estimation Method for Wideband Signals
Sensors, 2016 In this paper, we propose a novel direction of arrival (DOA) estimation method for wideband signals with sensor arrays. The proposed method splits the wideband array output into multiple frequency sub-channels and estimates the signal parameters using a ...
Rui Guo +3 more
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EURASIP Journal on Wireless Communications and Networking, 2007 Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty.
Qilian Liang
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SAR ATR Based on 3D Parametric Electromagnetic Scattering Model
Leida xuebao, 2017 Automatic Target Recognition (ATR) is one of the most difficult problems in Synthetic Aperture Radar (SAR) data interpretation. In recent years, the model-based SAR target recognition method has attracted much attention because of its good performance in
Wen Gongjian +8 more
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SAR ATR of Ground Vehicles Based on ESENet
Remote Sensing, 2019 In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms that are based on the convolutional neural network (CNN) have achieved high recognition rates in the moving and stationary target acquisition and recognition (
Li Wang, Xueru Bai, Feng Zhou
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The influence of multipath on ship ATR performance
, 2022 Paper 804912Based on measurements of a ship at 17 GHz and on several simulated ships at 35GHz it is demonstrated how multipath changes the range profiles that form a basis for the construction of ATR features for ship classification.
Schimpf, H.
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Millimeter-wave ATR: a study on feature robustness
, 2022 S.247-255Three target types, namely T72, ZSU 23-4 and BMP-2 were measured in a tower/turntable configuration in several articulations each. A set of geometric, statistical, structural and polarimetric features is used to study the robustness of ...
Schimpf, H.
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D-ATR for SAR Images Based on Deep Neural Networks
Remote Sensing, 2019 Automatic target recognition (ATR) can obtain important information for target surveillance from Synthetic Aperture Radar (SAR) images. Thus, a direct automatic target recognition (D-ATR) method, based on a deep neural network (DNN), is proposed in this ...
Zongyong Cui +3 more
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Multi-Block Mixed Sample Semi-Supervised Learning for SAR Target Recognition
Remote Sensing, 2021 In recent years, synthetic aperture radar (SAR) automatic target recognition has played a crucial role in multiple fields and has received widespread attention.
Ye Tian +4 more
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On the airworthiness approval of a SAR ATR system
, 2010 Paper 73350KA manned platform is to be equipped with a Synthetic Aperture Radar (SAR) based Automatic Target Recognition (ATR) system for precision targeting. The platform's airworthiness has to be approved including the ATR system, i.e.
Stahl, C. +3 more
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