Derivative Spectral Analysis Method for Detecting Characteristic Absorption Bands
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Resource Overview
This source code implements a derivative spectral analysis approach for detecting characteristic absorption bands, shared for hyperspectral image processing practitioners. The implementation includes key algorithms for spectral differentiation and absorption feature identification.
Detailed Documentation
In this source code, we provide a method for detecting characteristic absorption bands using derivative spectral analysis. The core algorithm involves calculating first or second-order derivatives of spectral curves to enhance subtle absorption features while suppressing baseline effects. Key functions include spectral preprocessing, derivative computation using Savitzky-Golay filtering or finite difference methods, and peak/trough detection algorithms for identifying absorption wavelengths. We recognize that hyperspectral image processing presents significant challenges, and we aim to support researchers in this field by sharing this implementation. The code serves as both a practical tool and valuable reference material for studying hyperspectral data processing techniques. We believe knowledge sharing and collaborative development can advance the hyperspectral imaging field and contribute to technological progress.
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