wgcban/ddpm-cd
Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
This project helps remote sensing analysts detect changes between satellite or aerial images. You provide pairs of remote sensing images, and the system outputs a map highlighting areas where changes have occurred. This is useful for environmental monitoring, urban planning, disaster assessment, and similar applications.
340 stars. No commits in the last 6 months.
Use this if you need to accurately identify changes in satellite or aerial imagery for land-use analysis, environmental tracking, or damage assessment.
Not ideal if you are looking to generate new remote sensing images or if your change detection needs are for very small, subtle shifts not typically captured by broader satellite imagery.
Stars
340
Forks
36
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/wgcban/ddpm-cd"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...