Representation of BVMD features via multitask compressive sensing for SAR target classification
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1773564
Abstract: ABSTRACT This letter develops a synthetic aperture radar (SAR) target classification method based on bidimensional variational mode decomposition (BVMD) and multitask compressive sensing (MTCS). BVMD is employed to decompose SAR images to exploit the time-frequency… read more here.
Keywords: sar; bvmd; multitask compressive; target classification ... See more keywords
Evidence-Theoretic Reentry Target Classification Using Radar: A Fuzzy Logic Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3071515
Abstract: This study focuses on the reentry target classification and fuses target features based on the generalized evidence theory. The features are extensively investigated, and the ballistic factor and length of the high-resolution range profile are… read more here.
Keywords: reentry target; uncertainty; target; target classification ... See more keywords
Robust Target Classification Using UWB Sensing*
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273152
Abstract: Contactless material characterization has received widespread attention in the radar and engineering domains. Specifically, impulsive Ultra Wideband (UWB) systems are a versatile technology for the nondestructive characterization of samples because the scattered field produced by… read more here.
Keywords: classification; robust target; using uwb; target classification ... See more keywords
Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2886368
Abstract: Underwater target classification using passive sonar remains a critical issue due to the changeable ocean environment. Convolutional neural networks (CNNs) have shown success in learning invariant features using local filtering and max pooling. In this… read more here.
Keywords: order pooling; underwater target; convolutional neural; target classification ... See more keywords
Multiparameter Adaptive Target Classification Using Full-Polarimetric GPR: A Novel Approach to Landmine Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3159305
Abstract: Full-polarimetric ground penetrating radar (FP-GPR) can measure the ability of an object to change the polarization of electromagnetic waves. Compared to the traditional GPR, it has a stronger capability to identify underground objects. In recent… read more here.
Keywords: full polarimetric; classification; multiparameter adaptive; gpr ... See more keywords
Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3187107
Abstract: It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters. However, the improvement of the image quality means the complexity of… read more here.
Keywords: classification; cnn; sar image; target classification ... See more keywords
Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2698213
Abstract: The deep convolutional neural network (CNN) has been widely used for target classification, because it can learn highly useful representations from data. However, it is difficult to apply a CNN for synthetic aperture radar (SAR)… read more here.
Keywords: classification; target classification; training data; unit ... See more keywords
Edge Intelligence-Based Moving Target Classification Using Compressed Seismic Measurements and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3055795
Abstract: Many deep learning methods have been proposed to classify moving targets from seismic signals in recent years. However, the existing deep models are all designed based on the “end-cloud” framework, in which real-time data processing… read more here.
Keywords: classification; convolutional neural; target classification; seismic measurements ... See more keywords
Radar Target Classification Receiver Using Sparse Regression and Target Tailored Matched Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3187387
Abstract: Waveform design is a commonly used approach to enhance target classification in high resolution radar systems. In the monostatic case of detecting some extended target, inherent to many of these system models is an assumption… read more here.
Keywords: classification; target classification; matched filters; sparse regression ... See more keywords
Mixed Loss Graph Attention Network for Few-Shot SAR Target Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3124336
Abstract: Restricted by the observation condition, synthetic aperture radar (SAR) automatic target classification based on deep learning usually suffers from insufficient training samples. To tackle this problem, a novel few-shot learning (FSL) framework for SAR target… read more here.
Keywords: network; classification; target classification; mixed loss ... See more keywords
A Human-Machine Agent Based on Active Reinforcement Learning for Target Classification in Wargame.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3236944
Abstract: To meet the requirements of high accuracy and low cost of target classification in modern warfare, and lay the foundation for target threat assessment, the article proposes a human-machine agent for target classification based on… read more here.
Keywords: human machine; machine agent; classification; target classification ... See more keywords