Results 41 to 50 of about 824,134 (332)
Shape serves as an important additional feature for space target classification, which is complementary to those made available. Since different shapes lead to different projection functions, the projection property can be regarded as one kind of shape ...
Yabei Wu +3 more
doaj +1 more source
Underwater acoustic target recognition is one of the main functions of the SONAR systems. In this paper, a target recognition method based on combined features with automatic coding and reconstruction is proposed to classify ship radiated noise signals ...
Xinwei Luo, Yulin Feng, Minghong Zhang
semanticscholar +1 more source
A Lightweight Fully Convolutional Neural Network for SAR Automatic Target Recognition
Automatic target recognition (ATR) in synthetic aperture radar (SAR) images has been widely used in civilian and military fields. Traditional model-based methods and template matching methods do not work well under extended operating conditions (EOCs ...
Jimin Yu +3 more
semanticscholar +1 more source
Guest Editorial: Automatic Target Recognition [PDF]
This PDF file contains the editorial “Guest Editorial: Automatic Target Recognition” for OE Vol.
openaire +1 more source
Multiview Deep Feature Learning Network for SAR Automatic Target Recognition
Multiview synthetic aperture radar (SAR) images contain much richer information for automatic target recognition (ATR) than a single-view one. It is desirable to establish a reasonable multiview ATR scheme and design effective ATR algorithm to thoroughly
Jifang Pei +6 more
semanticscholar +1 more source
3D Automatic Target Recognition for Future LIDAR Missiles [PDF]
We present a real-time three-dimensional automatic target recognition approach appropriate for future light detection and ranging-based missiles. Our technique extends the speeded-up robust features method into the third dimension by solving multiple two-
Aouf, N. +2 more
core +2 more sources
Robust SAR Automatic Target Recognition Via Adversarial Learning
The traditional denoising methods in noise robust synthetic aperture radar (SAR) automatic target recognition research are independent of the recognition model, which limits the robust recognition performance.
Yuchen Guo, Lan Du, D. Wei, Chen Li
semanticscholar +1 more source
This paper deals with joint tracking and classification (JTC) of multiple targets based on scattering center model (SCM) and wideband radar observations.
Ronghui Zhan, Liping Wang, Jun Zhang
doaj +1 more source
Design of DRFM jamming simulator using virtual instrument
In order to meet the technical verification and system testing requirements of radar countermeasures against digital radio frequency memory(DRFM) jamming, a modular, scalable, lightweight and portable vector signal transceiver combined with DRFM ...
Wang Min, Jiang Yanwen, Fan Hongqi
doaj +1 more source
Automatically Recognising European Portuguese Children's Speech [PDF]
International audienceThis paper reports findings from an analysis of errors made by an automatic speech recogniser trained and tested with 3-10-year-old European Portuguese children's speech.
A. Potamianos +15 more
core +2 more sources

