Toward Fine Surveillance: A review of multitemporal interferometric synthetic aperture radar for infrastructure health monitoring
With improvements in synthetic aperture radar (SAR) image resolutions and multitemporal
SAR interferometry (MTInSAR) algorithms, it becomes feasible to generate 3D point clouds …
SAR interferometry (MTInSAR) algorithms, it becomes feasible to generate 3D point clouds …
SCAN: Scattering characteristics analysis network for few-shot aircraft classification in high-resolution SAR images
Recently, deep learning in synthetic aperture radar (SAR) automatic target recognition (ATR)
has made significant progress, but the sample limitation problem in the SAR field is still …
has made significant progress, but the sample limitation problem in the SAR field is still …
Few-shot SAR target classification via metalearning
The state-of-the-art deep neural networks have made a great breakthrough in remote
sensing image classification. However, the heavy dependence on large-scale data sets …
sensing image classification. However, the heavy dependence on large-scale data sets …
A SAR dataset for ATR development: the Synthetic and Measured Paired Labeled Experiment (SAMPLE)
B Lewis, T Scarnati, E Sudkamp… - Algorithms for …, 2019 - spiedigitallibrary.org
The publicly-available Moving and Stationary Target Acquisition and Recognition (MSTAR)
synthetic aperture radar (SAR) dataset has been an valuable tool in the development of SAR …
synthetic aperture radar (SAR) dataset has been an valuable tool in the development of SAR …
Image data augmentation for SAR sensor via generative adversarial nets
Z Cui, M Zhang, Z Cao, C Cao - IEEE Access, 2019 - ieeexplore.ieee.org
As a mission-critical sensor, SAR has been applied in environmental monitoring and
battlefield surveillance; moreover, SAR target recognition is one of the most important …
battlefield surveillance; moreover, SAR target recognition is one of the most important …
Synthetic aperture radar image synthesis by using generative adversarial nets
J Guo, B Lei, C Ding, Y Zhang - IEEE Geoscience and Remote …, 2017 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) image simulators based on computer-aided drawing models
play an important role in SAR applications, such as automatic target recognition and image …
play an important role in SAR applications, such as automatic target recognition and image …
Target recognition of SAR image based on CN-GAN and CNN in complex environment
C Mao, L Huang, Y Xiao, F He, Y Liu - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, with the rapid development of deep learning, the research of radar image
automatic target recognition (ATR) has made great progress. However, because of the …
automatic target recognition (ATR) has made great progress. However, because of the …
RaySAR-3D SAR simulator: Now open source
RaySAR, a 3D SAR simulator, has been made accessible to the SAR community in January
2016. It helps to understand and analyze reflection effects of radar signals at 3D object …
2016. It helps to understand and analyze reflection effects of radar signals at 3D object …
Multi-modal and multi-temporal data fusion: Outcome of the 2012 GRSS data fusion contest
C Berger, M Voltersen, R Eckardt… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC)
of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the …
of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the …