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   Articles with "target classification" as a keyword



Representation of BVMD features via multitask compressive sensing for SAR target classification

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recommendations! 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

Surface and underwater target classification under limited sample sizes based on sound field elevation structure

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recommendations! Published in 2025 at "Chinese Physics B"

DOI: 10.1088/1674-1056/ade389

Abstract: Surface/underwater target classification is a key topic in marine information research. However, the complex underwater environment, coupled with the diversity of target types and their variable characteristics, presents significant challenges for classifier design. For shallow-water… read more here.

Keywords: classification; surface underwater; sound field; target ... See more keywords
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Evidence-Theoretic Reentry Target Classification Using Radar: A Fuzzy Logic Approach

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recommendations! 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*

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recommendations! 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

The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3573320

Abstract: We proposes a category imbalance classification model based on mixed feature enhancement between virtual and real domains to address the class imbalance problem in maritime target classification applications. In practical maritime target classification tasks, the… read more here.

Keywords: classification; virtual real; model; target classification ... See more keywords

Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification

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recommendations! 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

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recommendations! 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

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recommendations! 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

Learning From Natural Images in Few-Shot SAR Target Classification

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3556597

Abstract: The intricate imaging attributes of synthetic aperture radar (SAR) present a formidable challenge to the prevailing few-shot target classification. In order to address this issue, we study how to leverage natural images to assist with… read more here.

Keywords: shot sar; sar; target classification; natural images ... See more keywords
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Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data

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recommendations! 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

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recommendations! 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