This is the Windows app named DDPM-CD whose latest release can be downloaded as v0.0.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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DDPM-CD
DESCRIPTION
This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection. We fine-tune a light-weight change detection head which takes multi-level feature representations from the pre-trained diffusion model as inputs and outputs change prediction map.
Features
- Train diffusion model with remote sensing data
- Collect off-the-shelf remote sensing data to train diffusion model
- Training/Resume unconditional diffusion model on remote sensing data
- Sampling from the diffusion model
- Provide the path to pre-trained diffusion model
- Train the change detection network
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ddpm-cd.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
