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Deep Spectral Network with Vision Transformers for Hyperspectral Image Classification

비디오

기술 스택

Python

설명

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.

해커톤 진행 상황

Completed the model, works well.

자금 모금 상태

None.
팀 리더
SShreyansh Tiwari
프로젝트 링크
부문
AI