SAR IMAGE COLOURIZATION FOR COMPREHENSIVE INSIGHT USING DEEP LEARNING

• Author(s):

  Shakthi Priya P | Lavanya S | Kowsika M | Kaviya S

• 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.

• 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

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Other Details

• Paper id:

  IJSARTV10I11101504

• Published in:

  Volume: 10 Issue: 11 November 2024

• Publication Date:

  2024-11-20

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