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Volume 12 Issue 07
July 2026
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Author(s)
Vaishnavi Rameshwar Lahara Prof. Varsharani Raghunath Auhad Priti Santosh Waghmare
Abstract
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As Polarization And
Keywords
SAR Image Colorization
Deep Learning
U-Net
GAN
Polarization
Backscatter Intensity
RGB Colorization
Synthetic Aperture Radar
Image Enhancement
PSNR
SSIM
Perceptual Loss
Environmental Monitoring
Remote Sensing
Optical Data Integration.
Paper ID
IJSARTV10I11101514
Publication Date
November 22, 2024
Research Area
Antioxidant Properties And Oxidative Stress, Anti-inflammatory Effects