Frequency-adaptive learning for SAR ship detection in clutter scenes
Convolutional neural networks (CNNs) have been widely applied in the context of ship
detection in synthetic aperture radar (SAR) images, but the detection performance is still not …
detection in synthetic aperture radar (SAR) images, but the detection performance is still not …
HRWS SAR narrowband interference mitigation using low-rank recovery and image-domain sparse regularization
Synthetic aperture radar (SAR), as a wideband radar system, may be subject to strong
interferences with a variety of signals. The narrowband interference (NBI) exemplifies the …
interferences with a variety of signals. The narrowband interference (NBI) exemplifies the …
EFTL: Complex convolutional networks with electromagnetic feature transfer learning for SAR target recognition
Considering that synthetic aperture radar (SAR) images obtained directly after signal
processing are in the form of complex matrices, we propose a complex convolutional …
processing are in the form of complex matrices, we propose a complex convolutional …
Oriented Gaussian function-based box boundary-aware vectors for oriented ship detection in multiresolution SAR imagery
As an important remote sensing means, synthetic aperture radar (SAR) has many
superiorities to other sensors. How to effectively detect and locate ships in SAR images is …
superiorities to other sensors. How to effectively detect and locate ships in SAR images is …
Oriented ship detection based on soft thresholding and context information in SAR images of complex scenes
C Zhang, G Gao, J Liu, D Duan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection of ships encompasses an abundance of applications within the domains of
fishery management, marine rescue operations, and maritime monitoring. In recent years, a …
fishery management, marine rescue operations, and maritime monitoring. In recent years, a …
Processing of bistatic SAR data with nonlinear trajectory using a controlled-SVD algorithm
The nonlinear trajectory and bistatic characteristics of general bistatic synthetic aperture
radar (SAR) can cause severe two-dimensional space-variance in the echo signal, and …
radar (SAR) can cause severe two-dimensional space-variance in the echo signal, and …
Heuristic path planning method for multistatic UAV-borne SAR imaging system
A multistatic unmanned aerial vehicle-borne synthetic aperture radar (MuUAV-SAR) plays
an important role in the applications of environmental monitoring and disaster warning …
an important role in the applications of environmental monitoring and disaster warning …
Multiple statistics contributing to few-sample deep learning for subtle trace detection in high-resolution SAR images
With the ability to locate subtle trace objects in the large-scale region, coherent change
detection (CCD) has been vital research for a synthetic aperture radar (SAR) system …
detection (CCD) has been vital research for a synthetic aperture radar (SAR) system …
Signal subspace reconstruction for DOA detection using quantum-behaved particle swarm optimization
Spatial spectrum estimation, also known as direction of arrival (DOA) detection, is a popular
issue in many fields, including remote sensing, radar, communication, sonar, seismic …
issue in many fields, including remote sensing, radar, communication, sonar, seismic …
Refocusing of moving ships in squint SAR images based on spectrum orthogonalization
Moving ship refocusing is challenging because the target motion parameters are unknown.
Moreover, moving ships in squint synthetic aperture radar (SAR) images obtained by the …
Moreover, moving ships in squint synthetic aperture radar (SAR) images obtained by the …