HIGHLIGHTS
- who: Claude Cariou and colleagues from the Institut d'Électronique et des Technologies du numéRique, CNRS, Univ Rennes, UMR, Enssat, Centre for Research in Image and Signal Processing, Massey University have published the research: Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images, in the Journal: (JOURNAL)
- what: The authors propose two regularization schemes for hyperspectral image analysis: (i) a graph regularization based on mutual nearest neighbors (MNN) prior to clustering to improve cluster discovery in high dimensions; (ii) a spatial regularization to account for correlation between neighboring . . .
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