Hackaccino
Deep Spectral Network with Vision Transformers for Hyperspectral Image Classification
ビデオ
説明
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.
ハッカソンの進行状況
Completed the model, works well.
テックスタック
Python
資金調達の状況
None.