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No. 1046Problem statementSpace and research

Target detection by optimizing Anomaly Detection in Hyperspectral Image Processing using AI/ML

Source

Source summary

Research AI/ML anomaly detection in public hyperspectral datasets such as Hyperion or AVIRIS, identifying spectrally unusual pixels and object signatures. The source discusses preprocessing, denoising, fusion and radiometric/atmospheric correction before evaluating deep-learning models. This overview retains image-analysis research scope without target-engagement instructions; improved detection remains to be demonstrated.