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Deep Spectral Network with Vision Transformers for Hyperspectral Image Classification

視頻

技術堆疊

Python

描述

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.

黑客松進展

Completed the model, works well.

籌資狀態

None.
團隊負責人
SShrey Tiwari
專案連結
行業
AI