Results 251 to 260 of about 824,134 (332)

SAR Automatic Target Recognition Based on Multiview Deep Learning Framework

IEEE Transactions on Geoscience and Remote Sensing, 2018
Jifang Pei, Yulin Huang, Weibo Huo, Yin Zhang, Jianyu Yang, T. Yeo   +5 more
semanticscholar   +3 more sources

ADCG: A Cross-Modality Domain Transfer Learning Method for Synthetic Aperture Radar in Ship Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2023
Due to the powerful feature extraction and expression ability of convolutional neural networks (CNNs), exceptional success has been achieved in the field of ship automatic target recognition (ATR) of synthetic aperture radar (SAR).
Guili Gao, Yuxi Dai, Xi Zhang, Dingfeng Duan, Fei Guo   +4 more
semanticscholar   +1 more source

Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2022
Synthetic aperture radar automatic target recognition (SAR ATR) is a key technique of remote-sensing image recognition, which has many potential applications in the fields of military surveillance, national defense, civil application, and so on. With the
Ming Zhang, Jubai An, D. Yu, L. Yang, Liang Wu, X. Lu   +5 more
semanticscholar   +1 more source

Incremental Learning Based on Anchored Class Centers for SAR Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2022
Although deep learning methods have achieved great success in synthetic aperture radar automatic target recognition (SAR ATR), their accuracies decline sharply, as new classes are learned, which is known as catastrophic forgetting.
Bin Li, Z. Cui, Z. Cao, Jianyu Yang
semanticscholar   +1 more source

A Target SAR Image Expansion Method Based on Conditional Wasserstein Deep Convolutional GAN for Automatic Target Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
For the automatic target recognition (ATR) based on synthetic aperture radar (SAR) images, enough training data are required to effectively characterize target features and obtain good recognition performance.
Jikai Qin, Zheng Liu, Lei Ran, R. Xie, Junkui Tang, Zekun Guo   +5 more
semanticscholar   +1 more source

Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data

IEEE Transactions on Geoscience and Remote Sensing, 2022
With the maturity of synthetic aperture radar (SAR) technology, the problem of imbalanced data has gradually emerged. This problem makes it difficult for the automatic target recognition (ATR) model to properly learn the classification boundaries of ...
Changjie Cao, Z. Cui, Liying Wang, Jielei Wang, Z. Cao, Jianyu Yang   +5 more
semanticscholar   +1 more source

Sparsity-motivated automatic target recognition

Applied Optics, 2011
We present an automatic target recognition algorithm using the recently developed theory of sparse representations and compressive sensing. We show how sparsity can be helpful for efficient utilization of data for target recognition. We verify the efficacy of the proposed algorithm in terms of the recognition rate and confusion matrices on the well ...
Vishal M, Patel, Nasser M, Nasrabadi, Rama, Chellappa   +2 more
openaire   +2 more sources

Automatic Target Recognition Based on RCS and Angular Diversity for Multistatic Passive Radar

IEEE Transactions on Aerospace and Electronic Systems, 2022
Asan important means in low-altitude airspace surveillance, passive radar has been widely studied. With the increasing complexity of the low-altitude environment, the urgent need for radar's capability of automatic target recognition (ATR) emerges.
Xiaomao Cao, Jianxin Yi, Ziping Gong, X. Wan   +3 more
semanticscholar   +1 more source

MiNet: Efficient Deep Learning Automatic Target Recognition for Small Autonomous Vehicles

IEEE Geoscience and Remote Sensing Letters, 2021
On-the-fly automatic target recognition (ATR) is a challenge for small autonomous vehicles performing remote sensing. Advances in deep learning have made object detection practicable on data from a variety of sensor types, and neural network-based object
J. Topple, J. Fawcett
semanticscholar   +1 more source

Automatic target recognition employing signal compression

Applied Optics, 2007
Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target recognition (ATR) in IR imagery.
Ragothaman, Pradeep, Mikhael, Wasfy B., Muise, Robert R., Mahalanobis, Abhijit   +3 more
openaire   +3 more sources