Hyperspectral curve matching method based on absorption peak characteristic
A matching method and absorption peak technology, applied in the field of hyperspectral curve matching, can solve the problems of large spectral matching error and different number of absorption peaks, etc.
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[0044] In this scheme, the first step is to eliminate the envelope of the spectral reflectance curve. After extracting a certain pixel spectral curve of the substance to be identified from the hyperspectral data, normalization and envelope elimination are performed. Since the noise phenomenon in the original signal is relatively obvious, it will cause fluctuations in the spectral reflection curve, and adversely affect the extraction of spectral characteristic parameters and subsequent identification. Therefore, it is necessary to perform noise reduction processing, and the wavelet noise reduction method is used here.
[0045] The spectral curve of ground features in hyperspectral remote sensing reflects the absorption and reflection characteristics of ground features. Different ground features have different spectral absorption characteristics. Therefore, in the research of hyperspectral remote sensing to identify various ground object components and map, its important task i...
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