Chemical Analysis and Spectroscopy
基于自适应加权四元数Zernike矩的柴胡高光谱地理来源识别
Hyperspectral geographical origin identification of Bupleurum via spatial-spectral features based on adaptive weighted quaternion zernike momentsA method for identifying the geographical origin of Bupleurum plants using hyperspectral imaging and adaptive weighted quaternion Zernike moments to extract spatial-spectral features. / 一种利用高光谱成像和自适应加权四元数Zernike矩提取空间-光谱特征，以识别柴胡植物地理来源的方法。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-09 18:05:32
Sub-knowledge points
Spatial-spectral feature extractionAdaptive weighted quaternion Zernike moments calculationGeographical origin classification
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
Hyperspectral imaging: High-resolution spectral data acquisitionAdaptive weighted quaternion Zernike moments: Feature extraction methodBupleurum: Target plant species
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsHyperspectral geographical origin identification of Bupleurum via spatial-spectral features based on adaptive weighted quaternion zernike momentsOpen source
Related products and links
No item recorded yet
Creation and modification trail
1 recordsRecord title: Hyperspectral geographical origin identification of Bupleurum via spatial-spectral features based on adaptive weighted quaternion zernike moments.
Node update feedback
review required