Results 241 to 250 of about 48,420 (287)

Automatic Recognition of Dual-Component Radar Signals Based on Deep Learning. [PDF]

Sensors (Basel)
Tang Z, Shen H, Lam CT.
europepmc   +1 more source

ISAR Dataset for the Recognition of Conical Targets with Micro-Motion. [PDF]

Sci Data
Zhao Z, Yang D, Wang X, Xu J.
europepmc   +1 more source

Systematic Mining of Bioactive Compounds for Wound Healing From <i>Cayratia Japonica</i> Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models. [PDF]

JMIR Bioinform Biotechnol
Fu Q, Ji W, Fan YP, Yao J, Song MX, Yan QJ.   +5 more
europepmc   +1 more source

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Automatic Target Recognition for Passive Radar

IEEE Transactions on Aerospace and Electronic Systems, 2014
Air-traffic controllers cannot identify air vehicles flying with a defective or nonexistent transponder. Primary radar does not help, because it cannot classify air vehicles from echoes. Passive radar offers a potential solution, the main difficulty lying in the analysis of the data.
Jonathan Pisane, Marc Lesturgie
exaly   +2 more sources

Convolutional factor analysis model with application to radar automatic target recognition

Pattern Recognition, 2019
Abstract Convolutional networks, such as convolutional neural networks, are extensively applied in pattern recognition systems, where the convolution kernel plays an important role in performance improvement. Inspired by this, we integrate the convolution operation into statistical modeling in this paper and develop a novel probabilistic generative ...
Lan Du, Yuchen Guo
exaly   +2 more sources

Automatic target recognition using waveform diversity in radar sensor networks

Pattern Recognition Letters, 2008
In this paper, we perform a number of theoretical studies on constant frequency (CF) pulse waveform design and diversity in radar sensor networks (RSN): (1) the conditions for waveform co-existence, (2) interferences among waveforms in RSN, (3) waveform diversity combining in RSN. As an application example, we apply the waveform design and diversity to
Qilian Liang
exaly   +2 more sources

LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2020
Under the framework of a supervised learning-based automatic target recognition (ATR) approach, recognition performance is primarily dependent on the amount of training samples. However, shortage in training samples is a consistent issue for ATR. In this article, we propose a new image to image generation method, called label-directed generative ...
Changjie Cao, Zongjie Cao, Zongyong Cui   +2 more
exaly   +2 more sources

Multiview Synthetic Aperture Radar Automatic Target Recognition Optimization: Modeling and Implementation

IEEE Transactions on Geoscience and Remote Sensing, 2018
Multiview synthetic aperture radar (SAR) images could provide much richer information for automatic target recognition (ATR) than from a single-view image. It is desirable to find optimal SAR platform flight paths and acquire a sequence of SAR images from appropriate views, so that multiview SAR ATR can be carried out accurately and efficiently.
Jifang Pei, Zhichao Sun, Yin Zhang
exaly   +2 more sources