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PNEC-Mamba achieves superior classification performance by explicitly calibrating pixel-level evidence reliability, revealing the critical role of evidence separation in hyperspectral image analysis.
Preserving full-band spectral information in hyperspectral image classification can significantly boost model performance while keeping parameter tuning minimal.
