Skip to main content
Context Awesome

awesome-hyperspectral-image-unmixing

github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing ↗

Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).

128
GitHub Stars
43
Curated Resources
7
Categories
6 hours ago
Last Refreshed
Physics-based mixture modelClassic unmixing methodsIntegrating of physics-based models in DNN design.Prior information learning with data-driven approachesIntegrating loss learnt from data into physics-based inverse problemsDatabasesToolbox

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me survey resources from awesome-hyperspectral-image-unmixing"

Installation instructions →

What's inside

Integrating of physics-based models in DNN design.

Physics-based mixture model

Classic unmixing methods

Prior information learning with data-driven approaches

Integrating loss learnt from data into physics-based inverse problems

Databases

Toolbox

Showing a sample of 43 resources. View the full list on GitHub →