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   Articles with "sar target" as a keyword



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New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis

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recommendations! Published in 2021 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2021.1953719

Abstract: Synthetic Aperture Radar (SAR) images are prone to be contaminated by noise, which makes it very difficult to perform target recognition in SAR images. Inspired by great success of very deep convol... read more here.

Keywords: target recognition; sar target; new sar; sar ... See more keywords

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

Few-Shot SAR Target Recognition Based on Deep Kernel Learning

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3193773

Abstract: Deep learning methods have achieved state-of-the-art performance on synthetic aperture radar (SAR) target recognition tasks in recent years. However, obtaining sufficient SAR images for training these deep learning methods is costly in time and labor.… read more here.

Keywords: recognition; sar target; target recognition; model ... See more keywords

Global Discriminative Information Search and Focus for SAR Target Recognition

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3552578

Abstract: Deep learning methods have been widely used in the field of synthetic aperture radar (SAR) target recognition. However, given the difficulty in obtaining high-quality SAR images, existing models tend to focus on non-target regions, leading… read more here.

Keywords: information; focus; sar target; recognition ... See more keywords

Boosting Lightweight CNNs Through Network Pruning and Knowledge Distillation for SAR Target Recognition

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3104267

Abstract: Deep convolutional neural networks (CNNs) have yielded unusually brilliant results in synthetic aperture radar (SAR) target recognition. However, overparameterization is a widely-recognized property of deep CNNs, and most previous works excessively pursued high accuracy but… read more here.

Keywords: knowledge; target recognition; network; sar target ... See more keywords

SAR Target Classification Based on Multiscale Attention Super-Class Network

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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.2022.3206901

Abstract: The convolutional neural network (CNN) is widely used in synthetic aperture radar (SAR) target recognition, but conventional CNN mainly adopts a single-scale convolutional kernel, resulting in losing part of the feature information of targets and… read more here.

Keywords: classification; sar target; super class; class ... See more keywords

SAR Target Image Generation Method Using Azimuth-Controllable Generative Adversarial Network

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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.2022.3218369

Abstract: Sufficient synthetic aperture radar (SAR) target images are very important for the development of research works. However, available SAR target images are often limited in practice, which hinders the progress of SAR application. In this… read more here.

Keywords: network; target images; sar target; target image ... See more keywords

Transfer Adaptation Learning for Target Recognition in SAR Images: A Survey

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3434448

Abstract: Synthetic aperture radar (SAR) target recognition is a fundamental task in SAR image interpretation, which has made tremendous progress with the advancement of artificial intelligence technology. However, SAR imaging is sensitive to the operating conditions… read more here.

Keywords: target recognition; transfer; sar target; target ... See more keywords

TranSTD: A Wavelet-Driven Transformer-Based SAR Target Detection Framework With Adaptive Feature Enhancement and Fusion

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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.2025.3639785

Abstract: Target detection in Synthetic Aperture Radar (SAR) images is of great importance in civilian monitoring and military reconnaissance. However, the unique speckle noise inherent in SAR images leads to semantic information loss, while traditional convolutional… read more here.

Keywords: detection; wavelet driven; target detection; sar target ... See more keywords

Erratum to “Multilevel Wavelet-SRNet for SAR Target Recognition”

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3055643

Abstract: In article [1], after drawing the curve of Fig. 4, we mistakenly marked two coordinate values in the fourth column of the figure to be the same as those in the third column. We modified… read more here.

Keywords: sar target; wavelet srnet; erratum multilevel; target recognition ... See more keywords

SAR Target Recognition With Modified Convolutional Random Vector Functional Link Network

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3132020

Abstract: Deep learning models have achieved remarkable performance in synthetic aperture radar (SAR) target recognition. However, the accuracy of these methods is sensitive to the hyper-parameters and the traditional backpropagation is time consuming. In this letter,… read more here.

Keywords: recognition; network; sar target; modified convolutional ... See more keywords