🚀 V4: TÍCH HỢP RADAR SENTINEL-1 (32-CHANNELS FUSION)
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Clean FUSION data: (252, 32, 16, 16), 7 classes, [31, 38, 32, 49, 23, 75, 4]

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32-CHANNELS FUSION CNN
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  Ep 1 Fusion-Acc=0.1961 🌟
  Ep 3 Fusion-Acc=0.2745 🌟
  Ep 4 Fusion-Acc=0.4706 🌟
  Ep 5 Fusion-Acc=0.5490 🌟
  Ep 6 Fusion-Acc=0.7059 🌟
  Ep 7 Fusion-Acc=0.7451 🌟
  Ep 8 Fusion-Acc=0.8431 🌟
  Ep 15 Fusion-Acc=0.8627 🌟

✅ CNN Fusion best: 0.8627

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HYBRID FUSION: CNN embed + S1/S2 Rich features + XGBoost
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Extracted 2182 fusion features per sample
  Final Feature Vector: (252, 2694)
  ✅ Hybrid Fusion Acc: 0.8627
    Fold 1: 0.9412
    Fold 2: 0.9020
    Fold 3: 0.9200
    Fold 4: 0.8800
    Fold 5: 0.9000
  ✅ CV Mean: 0.9086 ± 0.0206

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📊 FINAL RESULTS V4 (WITH RADAR)
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  ✅ Hybrid Fusion CV: 0.9086
  📈 CNN Fusion (32ch): 0.8627
  📈 Hybrid Fusion (CNN+XGB): 0.8627

🏆 BEST: 0.9086
