Spectral Curve Matching Application Analysis Based on Fréchet Distance

The spectral curves of ground objects are used for the research of quantitative remote sensing and image classification, so it is meaningful to analyze the similarities and differences of spectral curves for each species of plant. This article puts forth a new method based on Fréchet distance to measure similarity of spectral curves used for recognition of different plant types. We tested spectral curve measured from five kinds of different plants, and present a detailed analysis and discussion of the results. We also analyzed the applicability and limitations of this method in spectral curve recognition and matching application. Results showthat the precision of spectral curve similarity measurement based on Fréchet distance is much higher than other methods.