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Deep Spectral Network with Vision Transformers for Hyperspectral Image Classification

Video

Công nghệ sử dụng

Python

Sự miêu tả

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.

Tiến độ hackathon

Completed the model, works well.

Trạng thái huy động vốn

None.
Trưởng nhóm
SShrey Tiwari
Liên kết dự án
Ngành
AI