Automated Discovery of Parsimonious Spectral Indices via Normalized Difference Polynomials
Analysis
This article likely discusses a novel method for automatically identifying efficient spectral indices. The use of "Normalized Difference Polynomials" suggests a mathematical approach to analyzing spectral data, potentially for applications in remote sensing or image analysis. The term "parsimonious" implies a focus on simplicity and efficiency in the derived indices.
Key Takeaways
Reference
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