[HTML][HTML] Polarimetric imaging via deep learning: A review
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Use of machine learning and remote sensing techniques for shoreline monitoring: A review of recent literature
CAD Tsiakos, C Chalkias - Applied Sciences, 2023 - mdpi.com
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …
anthropogenic activities, determine pressures to the coastal environments and contribute to …
Ic-gan: An improved conditional generative adversarial network for rgb-to-ir image translation with applications to forest fire monitoring
This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …
information from aerial true-color RGB images by transforming them into Infrared Radiation …
Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression
Many studies aim to predict the degree of deformation on affected brain regions as
Alzheimer's disease (AD) progresses. However, those studies have been often limited since …
Alzheimer's disease (AD) progresses. However, those studies have been often limited since …
Conditional pseudo-supervised contrast for data-Free knowledge distillation
Data-free knowledge distillation (DFKD) is an effective manner to solve model compression
and transmission restrictions while retaining privacy protection, which has attracted …
and transmission restrictions while retaining privacy protection, which has attracted …
Hybrid cGAN: Coupling global and local features for SAR-to-optical image translation
Z Wang, Y Ma, Y Zhang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) has the advantage of all-weather observation, but its imaging
principle based on the backscattering of electromagnetic waves makes its information less …
principle based on the backscattering of electromagnetic waves makes its information less …
CycleGAN-Based SAR-Optical Image Fusion for Target Recognition
Y Sun, K Yan, W Li - Remote Sensing, 2023 - mdpi.com
The efficiency and accuracy of target recognition in synthetic aperture radar (SAR) imagery
have seen significant progress lately, stemming from the encouraging advancements of …
have seen significant progress lately, stemming from the encouraging advancements of …
Application of deep generative networks for SAR/ISAR: a review
J Zhang, Z Liu, W Jiang, Y Liu, X Zhou, X Li - Artificial Intelligence Review, 2023 - Springer
Military, agricultural, and urban planning have all made extensive use of SAR/ISAR in the
realm of remote sensing. SAR/ISAR images are more capable of identifying the details of the …
realm of remote sensing. SAR/ISAR images are more capable of identifying the details of the …
SAR-to-optical image translation with hierarchical latent features
H Wang, Z Zhang, Z Hu, Q Dong - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the all-weather and all-time imaging capability of synthetic aperture radar (SAR),
SAR remote sensing analysis has attracted much attention recently. However, compared …
SAR remote sensing analysis has attracted much attention recently. However, compared …
SAR-to-optical image translation using multi-stream deep ResCNN of information reconstruction
Y Pan, IA Khan, H Meng - Expert Systems with Applications, 2023 - Elsevier
SAR image is a high-resolution radar image with ground penetration capability. However,
SAR has been affected by signal noise and image distortion, which are not conducive to …
SAR has been affected by signal noise and image distortion, which are not conducive to …