Weighted Sum of Segmented Correlation: An Efficient Method for Spectra Matching in Hyperspectral Images

arXiv:2406.13006v1 Announce Type: new
Abstract: Matching a target spectrum with known spectra in a spectral library is a common method for material identification in hyperspectral imaging research. Hyperspectral spectra exhibit precise absorption features across different wavelength segments, and the unique shapes and positions of these absorptions create distinct spectral signatures for each material, aiding in their identification. Therefore, only the specific positions can be considered for material identification. This study introduces the Weighted Sum of Segmented Correlation method, which calculates …

abstract arxiv correlation cs.cv cs.et eess.iv features identification images imaging library material research spectrum sum type unique