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<title>6-Band Hyperspectral Benchmark Workspace</title>
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<h1>🛰️ 6-Band Hyperspectral Benchmark Suite</h1>
<p>Welcome to the <strong>6-Band Hyperspectral Classification & Conformal Uncertainty Quantification Workspace</strong>.</p>
<p>This repository provides reproducible pipelines across 11 architectures and 6 loss function trials.</p>
<h2>Repository Modules</h2>
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<tr><th>Module</th><th>Description</th><th>Coverage Level</th></tr>
<tr><td><strong>baseline/</strong></td><td>Standard CNN Backbones (AlexNet, GFNet, ViT_UNet)</td><td><span class="badge">95.0%</span></td></tr>
<tr><td><strong>credit/</strong></td><td>Confidence Regularized Evidential Deep Inference</td><td><span class="badge">95.0%</span></td></tr>
<tr><td><strong>ensemble/</strong></td><td>Deep Ensembles & CreDE Uncertainty</td><td><span class="badge">95.2%</span></td></tr>
<tr><td><strong>multicp/</strong></td><td>Multi-Head Conformal Prediction</td><td><span class="badge">95.1%</span></td></tr>
<tr><td><strong>sacp/</strong></td><td>Self-Adaptive Conformal Prediction</td><td><span class="badge">95.0%</span></td></tr>
<tr><td><strong>spatialgcn/</strong></td><td>Spatial-Spectral Graph Convolutional Network</td><td><span class="badge">95.4%</span></td></tr>
<tr><td><strong>mambahsi/</strong></td><td>State-Space Mamba Hyperspectral Vision</td><td><span class="badge">96.3%</span></td></tr>
<tr><td><strong>dofa/</strong></td><td>Dynamic Optical Foundation Model & HieraViT</td><td><span class="badge">95.2%</span></td></tr>
<tr><td><strong>georsclip/</strong></td><td>Geospatial Remote Sensing CLIP</td><td><span class="badge">95.0%</span></td></tr>
<tr><td><strong>dapm/</strong></td><td>Diffusion-Augmented Probabilistic Model</td><td><span class="badge">95.0%</span></td></tr>
<tr><td><strong>trials/</strong></td><td>6 Loss Functions (CB-Focal, CDL, Conformal-Reg, EDL, EDL-v2, Focal)</td><td><span class="badge">Comprehensive</span></td></tr>
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