Hackaccino
Deep Spectral Network with Vision Transformers for Hyperspectral Image Classification
Videos
Description
Working on a Hyperspectral Image (HSI) Classification project using a Dual-Branch architecture called DSNet-ViT, which combines:
A Spectral Unmixing Module (to extract physically meaningful spectral features),
A Vision Transformer (ViT) Module (to capture spatial context and relationships),
And a Fusion Strategy (to merge outputs from both branches for classification).
Enhance classification accuracy by leveraging both spectral purity and spatial structure across benchmark datasets like Indian Pines, Salinas, and Pavia University.
Progress During Hackathon
Completed the model, works well.
Tech Stack
Python
Fundraising Status
None.