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deep-convolutional-networks

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(EEE 407 Image Processing Project) This project presents a remote sensing image registration framework utilizing deep convolutional neural networks. The system performs high-precision spatial alignment of multi-temporal datasets by extracting robust deep features to facilitate accurate change detection and geospatial analysis.

  • Updated Apr 5, 2026
  • Jupyter Notebook

DCGAN (Deep Convolutional Generative Adversarial Network) custom architecture builder and image synthesizer to specify the architecture of the generator and discriminator, visualize the models, train the GAN, synthesize images, and analyze synthetic imagery losslessly visualized.

  • Updated Jan 2, 2025
  • Python

This project utilizes the original paper of Neural Style Transfer "A Neural Algorithm of Artistic Style" by Leon Gatys et al. We used the VGG-19 model and made changes in the implementation which have resulted in better results. Streamlit was used to deploy this app.

  • Updated Jul 20, 2024
  • Jupyter Notebook

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